disaster response
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BreezoMeter has been on a mission to make environmental health hazard information accessible to as many people as possible. Through its air quality index (AQI) calculations, the Israel-based company can now identify the quality of air down to a few meters in dozens of countries. A partnership with Apple to include its data into the iOS Weather app along with its own popular apps delivers those metrics to hundreds of millions of users, and an API product allows companies to tap into its data set for their own purposes.
Right on the heels of a $30 million Series C round a few weeks ago, the company is radially expanding its product from air quality into the real-time detection of wildfire perimeters with its new product, Wildfire Tracker.
The new product will take advantage of the company’s fusion of sensor data, satellite imagery and local eyewitness reports to be able to identify the edges of wildfires in real time. “People expect accurate wildfire information just as they expect accurate weather or humidity data,” Ran Korber, CEO and co-founder, said. “It has an immediate effect on their life.” He added further that BreezoMeter wants to “try to connect the dots between climate tech and human health.”
Fire danger zones will be indicated with polygonal boundaries marked in red, and as always, air quality data will be viewable in these zones and in surrounding areas.
BreezoMeter’s air quality maps can show the spread of wildfire pollution. Image Credits: BreezoMeter.
Korber emphasized that getting these perimeters accurate across dozens of countries was no easy feat. Sensors can be sparse, particularly in the forests where wildfires ignite. Meanwhile, satellite data that focuses on thermal imaging can be fooled. “We’re looking for abnormalities … many of the times you have these false positives,” Korber said. He gave an example of a large solar panel array which can look very hot with thermal sensors, but obviously isn’t a fire.
The identified fire perimeters will be available for free to consumers on BreezoMeter’s air quality map website, and will shortly come to the company’s apps as well. Later this year, these perimeters will be available from the company’s APIs for commercial customers. Korber hopes the API endpoints will give companies like car manufacturers the ability to forewarn drivers that they are approaching a conflagration.
The new feature is just a continuation of BreezoMeter’s longtime expansion of its product. “When we started, it was just air quality … and only forecasting air pollution in Israel,” Korber said. “Almost every year since then, we expanded the product portfolio to new environmental hazards.” He pointed to the addition of pollen in 2018 and the increasingly global nature of the app.
Wildfire detection is an, ahem, hot area these days for VC investors. For example, Cornea is a startup focused on helping firefighters identify and mitigate blazes, while Perimeter wants to help identify boundaries of wildfires and give explicit evacuation instructions, complete with maps. As Silicon Valley’s home state of California and much of the world increasingly become a tinderbox for fires, expect more investment and products to enter this area.
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Floods are devastating. They rip asunder communities, wipe out neighborhoods, force the evacuation of thousands of people every year and recovering from them can take years — assuming recovery is possible at all. The U.S. government estimates that floods in recent decades (exclusive of hurricanes and tropical storms) have caused an estimated $160 billion in damage and killed hundreds of people.
One would think that we should have a real-time model for where water is and where it is going around the world, what with all of those sensors on the ground and satellites in orbit. But we mostly don’t, instead relying on antiquated models that fail to take into account the possibilities of big data and big compute.
FloodMapp, a Brisbane, Australia-based startup, is aiming to wash out the old approaches to hydrology and predictive analytics and put in place a much more modern approach to help emergency managers and citizens know when the floods are coming — and what to do.
CEO and co-founder Juliette Murphy has spent a lifetime in the water resources engineering field, and saw firsthand the heavy destruction that water can cause. In 2011, she watched as her friend’s home was submerged in the midst of terrible flooding. The “water went right over the peak of her house,” she said. Two years later in Calgary, she saw the same situation again: floods and fear as friends tried to determine whether and how to evacuate.
Those memories and her own professional career led her to think more about how to build better tools for disaster managers. She ultimately synced up with CTO and co-founder Ryan Prosser to build FloodMapp in 2018, raising $1.3 million AUD along with a matching grant.
The company’s premise is simple: We have the tools to build real-time flooding models today, but we just have chosen not to take advantage of them. Water follows gravity, which means that if you know the topology of a place, you can predict where the water will flow to. The challenge has been that calculating second-order differential equations at high resolution remains computationally expensive.
Murphy and Prosser decided to eschew the traditional physics-based approach that has been popular in hydrology for decades for a completely data-based approach that takes advantage of widely available techniques in machine learning to make those calculations much more palatable. “We do top down what used to be bottoms up,” Murphy said. “We have really sort of broken the speed barrier.” That work led to the creation of DASH, the startup’s real-time flood model.
FloodMapp’s modeling of the river flooding in Brisbane. Image Credits: FloodMapp
Unlike typical tech startups though, FloodMapp isn’t looking to be its own independent platform. Instead, it interoperates with existing geographic information systems (GIS) like ESRI’s ArcGIS by offering a data layer that can be combined with other data streams to provide situational awareness to emergency response and recovery personnel. Customers pay a subscription fee for access to FloodMapp’s data layer, and so far, the company is working with the Queensland Fire and Emergency Services in Australia as well as the cities of Norfolk and Virginia Beach in Virginia.
But it’s not just emergency services the startup is ultimately hoping to attract. Any company with physical assets, from telcos and power companies to banks and retail chains with physical stores could potentially be a customer of the product. In fact, FloodMapp is betting that the SEC will mandate further climate change financial disclosures, which could lead to a … flood of new business (I get one flood pun, okay, I get one).
FloodMapp’s team has expanded from its original two founders to a whole crop of engineering and sales personnel. Image Credits: FloodMapp
Murphy notes that “we are still in our early stages” and that the company is likely to raise further financing early next year as it gets through this year’s flood season and onboards several new customers. She hopes that ultimately, FloodMapp will “not only help people, but help our country change and adapt in the face of a changing climate.”
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This week, the Intergovernmental Panel on Climate Change released its major sixth assessment report on the physical science of climate change. The details are grim, if getting more precise, as better and more comprehensive data becomes available. As my colleague Mike Butcher summarized yesterday, it’s “stern and blunt in its conclusions.”
While many of the themes of the report will be familiar to any person not living under (an ever increasingly hot) rock, one part jumped out at me as I was perusing the documents. The working group assessed that regardless of mitigation and adaptation strategies, many of the negative changes happening to Earth will continue unabated in all future scenarios. From the summary report:
Many changes due to past and future greenhouse gas emissions are irreversible for centuries to millennia, especially changes in the ocean, ice sheets and global sea level. […] Mountain and polar glaciers are committed to continue melting for decades or centuries (very high confidence). Loss of permafrost carbon following permafrost thaw is irreversible at centennial timescales (high confidence) …
In short, there is already momentum toward a warmer and more chaotic world, and we have limited tools to stop many of these trends.
There has been a rush of initiatives, investments and startups bubbling around the theme of climate tech, with projects focused on everything from improving the yields and decreasing the emissions of agriculture and food production, to improving the power grid, and to reducing the emissions from air conditioning in buildings. Those initiatives are fine and important, but they don’t get at one of the toughest challenges facing us this century: that disasters are here, they are coming and they are going to continue to get more intense as the century rolls on.
Just this past week, we have seen the second-largest fire in California’s state history with the Dixie Fire, currently blazing across hundreds of thousands of acres in the northern reaches of the state. Meanwhile in Greece, hundreds of wildfires are causing an unprecedented crisis in that country. Droughts, floods, hurricanes, typhoons and more are intensifying and ravaging ever more billions of people across every continent.
One response to solving this problem is improving resilience — building up cities and structures as well as food and water systems that are fortified against these natural calamities. Many of those projects though are costly and also time-consuming, measured over the course of decades rather than months.
Instead, we need a more immediate push to develop better disaster response technology today. I’ve covered a wide segment of these companies over the past few months. There’s RapidSOS, which is adding more data into emergency calls to make responses faster and more efficient. There’s Qwake, which raised $5.5 million to build hardware and cloud services to allow firefighters to visualize their environments in smoky conditions. Meanwhile, YC-backed Gridware has also raised more than $5 million to create sensors to identify failures in the power grid faster.
In short, there are a growing crop of disaster tech startups — but more are going to be needed to fight the panoply of disasters that will strike in the years ahead.
There’s so much to do: better mental health resources for victims and first responders, easier access to recovery funds to heal lives, higher-quality sensors and data analyses to identify disasters earlier, faster logistics to evacuate people out of harm’s way. In fact, there are quite literally dozens of fields that need more investment and founder attention.
It’s not an easy market, as I pointed out in an analysis of sales cycles. Budgets are tight, disasters are random, and technology is often an afterthought. In some ways though, that friction is a font of creativity — how to build these next-generation of services and how to sell them is the risk that leads to the potential high return.
As the IPCC’s report made clear this week, the chaotic weather and intense disasters we’ve seen the past few decades aren’t going to abate any time soon. But with ingenuity, we can respond better to the disasters that are already on their way, and save lives and treasure in the process.
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Sometimes, the best missions are the hardest to fund.
For the founders of RapidSOS, improving the quality of emergency response by adding useful data, like location, to 911 calls was an inspiring objective, and one that garnered widespread support. There was just one problem: How would they create a viable business?
The roughly 5,700 public safety answering points (PSAPs) in America weren’t great contenders. Cash-strapped and highly decentralized, 911 centers already spent their meager budgets on staffing and maintaining decades-old equipment, and they had few resources to improve their systems. Plus, appropriations bills in Congress to modernize centers have languished for more than a decade, a topic we’ll explore more in part four of this EC-1.
Who would pay? Who was annoyed enough with America’s antiquated 911 system to be willing to shell out dollars to fix it?
People obviously desire better emergency services — after all, they are the ones who will dial 911 and demand help someday. Yet, they never think about emergencies until they actually happen, as RapidSOS learned from the poor adoption of its Haven app we discussed in part one. People weren’t ready to pay a monthly subscription for these services in advance.
So, who would pay? Who was annoyed enough with America’s antiquated 911 system to be willing to shell out dollars to fix it?
Ultimately, the company iterated itself into essentially an API layer between the thousands of PSAPs on one side and developers of apps and consumer devices on the other. These developers wanted to include safety features in their products, but didn’t want to engineer hundreds of software integrations across thousands of disparate agencies. RapidSOS’ business model thus became offering free software to 911 call centers while charging tech companies to connect through its platform.
It was a tough road and a classic chicken-and-egg problem. Without call center integrations, tech companies wouldn’t use the API — it was essentially useless in that case. Call centers, for their part, didn’t want to use software that didn’t offer any immediate value, even if it was being given away for free.
This is the story of how RapidSOS just plowed ahead against those headwinds from 2017 onward, ultimately netting itself hundreds of millions in venture funding, thousands of call agency clients, dozens of revenue deals with the likes of Apple, Google and Uber, and partnerships with more software integrators than any startup has any right to secure. Smart product decisions, a carefully calibrated business model and tenacity would eventually lend the company the escape velocity to not just expand across America, but increasingly across the world as well.
In this second part of the EC-1, I’ll analyze RapidSOS’ current product offerings and business strategy, explore the company’s pivot from consumer app to embedded technology and take a look at its nascent but growing international expansion efforts. It offers key lessons on the importance of iterating, how to secure the right customer feedback and determining the best product strategy.
It became clear from the earliest stages of RapidSOS’ journey that getting data into the 911 center would be its first key challenge. The entire 911 system — even today in most states — is built for voice and not data.
Karin Marquez, senior director of public safety at RapidSOS, who we met in the introduction, worked for decades at a PSAP near Denver, working her way up from call taker to a senior supervisor. “When I started, it was a one-man dispatch center. So, I was working alone, I was answering 911 calls, non-emergency calls, dispatching police, fire and EMS,” she said.
RapidSOS senior director of public safety Karin Marquez. Image Credits: RapidSOS
As a 911 call taker, her very first requirement for every call was figuring out where an emergency is taking place — even before characterizing what is happening. “Everything starts with location,” she said. “If I don’t know where you are, I can’t send you help. Everything else we can kind of start to build our house on. Every additional data [point] will help to give us a better understanding of what that emergency is, who may be involved, what kind of vehicle they’re involved in — but if I don’t have an address, I can’t send you help.”
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When it comes to tough environments to build new technology, firefighting has to be among the most difficult. Smoke and heat can quickly damage hardware, and interference from fires will disrupt most forms of wireless communications, rendering software all but useless. From a technology perspective, not all that much has really changed today when it comes to how people respond to blazes.
Qwake Technologies, a startup based in San Francisco, is looking to upgrade the firefighting game with a hardware augmented reality headset named C-THRU. Worn by responders, the device scans surrounding and uploads key environmental data to the cloud, allowing all responders and incident commanders to have one common operating picture of their situation. The goal is to improve situational awareness and increase the effectiveness of firefighters, all while minimizing potential injuries and casualties.
The company, which was founded in 2015, just raised about $5.5 million in financing this week. The company’s CEO, Sam Cossman, declined to name the lead investor, citing a confidentiality clause in the term sheet. He characterized the strategic investor as a publicly-traded company, and Qwake is the first startup investment this company has made.
(Normally, I’d ignore fundings without these sorts of details, but given that I am obsessed with DisasterTech these days, why the hell not).
Qwake has had success in recent months with netting large government contracts as it approaches a wider release of its product in late-2021. It secured a $1.4 million contract from the Department of Homeland Security last year, and also secured a partnership with the U.S. Air Force along with RSA in April. In addition, it raised a bit of angel funding and participated in Verizon’s 5G First Responder Lab as part of its inaugural cohort (reminder that TechCrunch is still owned by Verizon).
Cossman, who founded Qwake along with John Long, Mike Ralston, and Omer Haciomeroglu, has long been interested in fires, and specifically, volcanos. For years, he has been an expeditionary videographer and innovator who climbed calderas and attempted to bridge the gap between audiences, humanitarian response, and science.
“A lot of the work that I have done up until this point was focused on earth science and volcanoes,” he said. “A lot of projects were focused on predicting volcanic eruptions and looking at using sensor networks and different things of that nature to make people who live in those regions that are exposed to volcanic threats safer.”
During one project in Nicaragua, his team suddenly found itself lost amidst the smoke of an active volcano. There were “thick, dense superheated volcanic gases that prevented us from navigating correctly,” Cossman said. He wanted to find technology that might help them navigate in those conditions in the future, so he explored the products available to firefighters. “We figured, ‘Surely these men and women have figured out how do you see in austere environments, how do you make quick decisions, etc.’”
He was left disappointed, but also with a new vision: to build such technology himself. And thus, Qwake was born. “I was pissed off that the men and women who arguably need this stuff more than anybody — certainly more than a consumer — didn’t have anywhere to get it, and yet it was entirely possible,” he said. “But it was only being talked about in science fiction, so I’ve dedicated the last six years or so to make this thing real.”
Building such a product required a diverse set of talent, including hardware engineering, neuroscience, firefighting, product design and more. “We started tinkering and building this prototype. And it very interestingly got the attention of the firefighting community,” Cossman said.
Qwake offers a helmet-based IoT product that firefighters wear to collect data from environments. Image Credits: Qwake Technologies
Qwake at the time didn’t know any firefighters, and as the founders did customer calls, they learned that sensors and cameras weren’t really what responders needed. Instead, they wanted more operational clarity: not just more data inputs, but systems that can take all that noise, synthesize it, and relay critical information to them about exactly what’s going on in an environment and what the next steps should be.
Ultimately, Qwake built a full solution, including both an IoT device that attaches to a firefighter’s helmet and also a tablet-based application that processes the sensor data coming in and attempts to synchronize information from all teams simultaneously. The cloud ties it all together.
So far, the company has design customers with the fire departments of Menlo Park, California and Boston. With the new funding, the team is looking to advance the state of its prototype and get it ready for wider distribution by readying it for scalable manufacturing as it approaches a more public launch later this year.
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The increasingly intense heats bearing down feverishly across the globe are accelerating the number, scale, and complexity of disasters worldwide. Just in the past few weeks, we have seen record heat in the United States Pacific Northwest that has led to hundreds of deaths — with more heat on the way.
Heat waves, wildfires, hurricanes, typhoons and many other types of weather-related disasters create huge challenges for infrastructure providers like energy utilities and telecoms, who have to keep uptime as close to 100% as possible for their customers even in the midst of some of the most challenging environments humans have ever witnessed.
To that end, Verizon (which, as a reminder, is the ultimate parent company for TechCrunch for now) announced today the first demo unit of what it dubs its THOR vehicle, for Tactical Humanitarian Operations Response. Designed on top of a Ford F650 pickup truck chassis, THOR is designed to provide highly mobile and resilient connectivity to frontline responders and citizens through wireless technologies like 5G Ultra Wideband and satellite uplinks.
Verizon’s THOR vehicle can deploy wireless technologies like 5G and satellite uplinks to rapidly deploy connectivity to frontline responders. Image Credits: Verizon
The company developed the prototype in partnership with the Department of Defense’s NavalX and the SoCal Tech Bridge, and unveiled the prototype last week at Marine Corps Air Station Miramar, just north of San Diego.
In addition to wireless connectivity, THOR can also potentially deploy a variety of drone capabilities. For instance, a vehicle could deploy a drone for search and rescue operations, or to help augment firefighters with intelligence on how a wildfire is developing over time.
As I discussed a few weeks ago, telcos like Verizon, AT&T and T-Mobile are increasing spending on a variety of resiliency initiatives, ranging from the rapid staging of mobile wireless equipment to novel solutions like AT&T’s FirstNet One, a dirigible capable of flying near a disaster zone to offer wireless services.
DisasterTech, as I have been dubbing it, has been gaining more attention of late from investors and companies both big and small as governments, the private sector, insurers, and individuals have to confront and respond to the intensifying nature of storms globally.
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You might have thought that with more than 300 companies joining this year’s winter batch of Y Combinator, the investor interest might have thinned. Well, it’s 2021 and investors are hopping around like crazy to invest in ideas that push the boundaries in fields far-flung from enterprise SaaS.
Case in point today: Gridware. It’s a startup I profiled earlier this year when it had just started up in its YC batch. As I wrote, it wants to save our power grids from the ravages of climate change:
Its approach is to use a small, sensor-laden box that can be installed to a power pole with just four screws. Gridware’s package contains microphones and other sensors to sense the ambient environment around a power pole, and it uses on-board AI/ML processing to listen for anomalies and report them to the relevant managers as appropriate.
Hardware, IoT, infrastructure, utilities and government are five keywords you probably most would have wanted to avoid when pitching investors even a few years ago. But with power disappearing in states like California and Texas for stretches of time, investors have perhaps finally realized there is an opportunity to save the planet and make a bit of money here.
Gridware today announced that it has raised $5.3 million in a seed round led by Priscilla Tyler of True Ventures and Seth Bannon and Shuo Yang of Fifty Years. CEO and co-founder Tim Barat said fundraising was quite fierce. “We had 130 investors reach out to us, and I wasn’t even able to get back to some of them yet … [I’m] still going back through the emails,” he said. “Even before Demo Day, we had raised a significant portion of our round.”
Barat and the Gridware team were looking for investors who were mission-driven and really understood the timeline it would take to build the company. “You see a lot of investors say they are mission-driven … but when it comes time to put their money where their mouth is, it often goes to consumer technology where it is safer,” he said. Tyler at True leads climate investing for the firm, and True has made a variety of bets in the space. Fifty Years focuses on startups tackling the UN’s list of 17 Sustainable Development Goals.
Gridware co-founders Abdulrahman Bin Omar, Tim Barat, and Hall Chen. Image Credits: Gridware
You can read more about the company’s product and market in my profile from three months ago, but with the new funding, Gridware wants to double down on building a very intentional team capable of tackling this tough market. “Dealing with this multi-stakeholder business model is very challenging, so bringing on people with the experience, knowledge and wits to deal with this kind of environment is key,” Barat said.
As I explored recently, the disaster response space is probably one of the toughest markets in the world to sell into. Barat acknowledged the intrinsic difficulty, but sees huge potential in the long run. “One of the things that I have observed with the companies being successful — they really spend the time to meet as many stakeholders as possible,” he said. “With consumer, you can stand in front of a shopping mall and talk to 100 customers in a day [but] in govtech, getting 100 meetings even within a year is a huge accomplishment.”
The company will be re-opening its Bay Area office in Walnut Creek on June 1.
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Disasters may not always be man-made, but they are always responded to by humans. There’s a whole panoply of skills and professions required today to respond to even the tiniest emergency, and that doesn’t even include the needs during pre-disaster planning and post-disaster recovery. It’s not a very remunerative industry for most and the mental health effects from stress can linger for decades, but the mission at the core of this work — to help people in the time of their greatest need — is what continues to attract many to partake in this never-ending battle anyway.
In the last three parts of this series on the future of technology and disaster response, I’ve focused on, well, technology, and specifically the sales cycle for new products, the sudden data deluge now that Internet of Things (IoT) is in full force, and the connectivity that allows that data to radiate all around. What we haven’t looked at enough so far is the human element: the people who actually respond to disasters as well as what challenges they face and how technology can help them.
So in this fourth and final part of the series, we’ll look at four areas where humans and technology intersect within disaster response and what future opportunities lie in this market: training and development, mental health, crowdsourced responses to disasters, and our doomsday future of hyper-complex emergencies.
Most fields have linear approaches to training. To become a software engineer, students learn some computer science theory, add in some programming practice, and voilà (note: your mileage may vary). To become a medical doctor, aspiring physicians take an undergraduate curriculum teeming with biology and chemistry, head to medical school for two deadened years of core anatomy and other classes and then switch into clinical rotations, a residency, and maybe fellowships.
But how do you train someone to respond to emergencies?
From 911 call takers to EMTs and paramedics to emergency planning officials and the on-the-ground responders who are operating in the center of the storm as it were, there are large permutations in the skills required to do these jobs well. What’s necessary aren’t just specific hard skills like using call dispatch software or knowing how to upload video from a disaster site, but also critically-important softer skills as well: precisely communicating, having sangfroid, increasing agility, and balancing improvisation with consistency. The chaos element also can’t be overstated: every disaster is different, and these skills must be viscerally recombined and exercised under extreme pressure with frequently sparse information.
A whole range of what might be dubbed “edtech” products could serve these needs, and not just exclusively for emergency management.
Communications, for instance, isn’t just about team communications, but also communicating with many different constituencies. Aaron Clark-Ginsberg, a social scientist at RAND Corporation, said that “a lot of these skills are social skills — being able to work with different groups of people in culturally and socially appropriate ways.” He notes that the field of emergency management has heightened attention to these issues in recent years, and “the skillset we need is to work with those community structures” that already exist where a disaster strikes.
As we’ve seen in the tech industry the last few years, cross-cultural communication skills remain scarce. One can always learn this just through repeated experiences, but could we train people to develop empathy and understanding through software? Can we develop better and richer scenarios to train emergency responders — and all of us, really — on how to communicate effectively in widely diverging conditions? That’s a huge opportunity for a startup to tackle.
Emergency management is now a well-developed career path. “The history of the field is very fascinating, [it’s] been increasingly professionalized, with all these certifications,” Clark-Ginsberg said. That professionalization “standardizes emergency response so that you know what you are getting since they have all these certs, and you know what they know and what they don’t.” Certifications can indicate singular competence, but perhaps not holistic assessment, and it’s a market that offers opportunities for new startups to create better assessments.
Like many of us, responders get used to doing the same thing over and over again, and that can make training for new skills even more challenging. Michael Martin of emergency data management platform RapidSOS describes how 911 call takers get used to muscle memory, “so switching to a new system is very high-risk.” No matter how bad existing software interfaces are, changing them will very likely slow every single response down while increasing the risk of errors. That’s why the company offers “25,000 hours a year for training, support, integration.” There remains a huge and relatively fragmented market for training staff as well as transitioning them from one software stack to another.
Outside these somewhat narrow niches, there is a need for a massive renaissance in training in this whole area. My colleague Natasha Mascarenhas recently wrote an EC-1 on Duolingo, an app designed to gamify and entrance students interested in learning second languages. It’s a compelling product, and there is no comparative training system for engaging the full gamut of first responders.
Art delaCruz, COO and president of Team Rubicon, a non-profit which assembles teams of volunteer military veterans to respond to natural disasters, said that it’s an issue his organization is spending more time thinking about. “Part of resilience is education, and the ability to access information, and that is a gap that we continue to close on,” he said. “How do you present information that’s more simple than [a learning management system]?” He described the need for “knowledge bombs like flash cards” to regularly provide responders with new knowledge while testing existing ideas.
There’s also a need to scale up best practices rapidly across the world. Tom Cotter, director of emergency response and preparedness at Project Hope, a non-profit which empowers local healthcare workers in disaster-stricken and impoverished areas, said that in the context of COVID-19, “a lot of what was going to be needed [early on] was training — there were huge information gaps at the clinical level, how to communicate it at a community level.” The organization developed a curriculum with Brown University’s Watson Institute in the form of interactive PowerPoints that were ultimately used to train 100,000 healthcare workers on the new virus, according to Cotter.
When I look at the spectrum of edtech products existing today, one of the key peculiarities is just how narrow each seems to focus. There are apps for language learning and for learning math and developing literacy. There are flash card apps like Anki that are popular among medical students, and more interactive approaches like Labster for science experiments and Sketchy for learning anatomy.
Yet, for all the talk of boot camps in Silicon Valley, there is no edtech company that tries to completely transform a student in the way that a bona fide boot camp does. No startup wants to holistically develop their students, adding in hard skills while also advancing the ability to handle stress, the improvisation needed to confront rapidly-changing environments, and the skills needed to communicate with empathy.
Maybe that can’t be done with software. Maybe. Or perhaps, no founder has just had the ambition so far to go for broke — to really revolutionize how we think about training the next generation of emergency management professionals and everyone else in private industry who needs to handle stress or think on their feet just as much as frontline workers.
That’s the direction where Bryce Stirton, president and co-founder of public-safety company Responder Corp, has been thinking about. “Another area I am personally a fan of is the training space around VR,” he said. “It’s very difficult to synthesize these stressful environments,” in areas like firefighting, but new technologies have “the ability to pump the heart that you need to experience in training.” He concludes that “the VR world, it can have a large impact.”
When it comes to trauma, few fields face quite the challenge as emergency response. It’s work that almost by definition forces its personnel to confront some of the most harrowing scenes imaginable. Death and destruction are given, but what’s not always accounted for is the lack of agency in some of these contexts for first responders — the family that can’t be saved in time so a 911 call taker has to offer final solace, or the paramedics who don’t have the right equipment even as they are showing up on site.
Post-traumatic stress is perhaps the most well-known and common mental health condition facing first responders, although it is hardly the only one. How to ameliorate and potentially even cure these conditions represents a burgeoning area of investment and growth for a number of startups and investors.
Risk & Return, for instance, is a venture firm heavily focused on companies working on mental health as well as human performance more generally. In my profile of the firm a few weeks ago, managing director Jeff Eggers said that “We love that type of technology since it has that dual purpose: going to serve the first responder on the ground, but the community is also going to benefit.”
Two examples of companies from its portfolio are useful here to explore as examples of different pathways in this category. The first is Alto Neuroscience, which is a stealthy startup founded by Amit Etkin, a multidisciplinary neuroscientist and psychiatrist at Stanford, to create new clinical treatments to post-traumatic stress and other conditions based on brainwave data. Given its therapeutic focus, it’s probably years before testing and regulatory approvals come through, but this sort of research is on the cutting-edge of innovation here.
The second company is NeuroFlow, which is a software startup using apps to guide patients to better mental health outcomes. Through persistent polling, testing, and collaboration with practitioners, the company’s tools allow for more active monitoring of mental health — looking for emerging symptoms or relapses in even the most complicated cases. NeuroFlow is more on the clinical side, but there are obviously a wealth of wellness startups that have percolated in recent years as well like Headspace and Calm.
Outside of therapeutics and software though, there are entirely new frontiers around mental health in areas like psychedelics. That was one of the trends I called out as a top five area for investment in the 2020s earlier this year, and I stand by that. We’ve also covered a startup called Osmind which is a clinical platform for managing patients with a psychedelic focus.
Risk & Return itself hasn’t made an investment in psychedelics yet, but Bob Kerrey, the firm’s board chairman and the former co-chair of the 9/11 Commission as well as former governor and senator of Nebraska, said that “it’s difficult to do this if you are the government, but easier to do this in the private sector.”
Similar to edtech, mental health startups might get their start in the first responder community, but they are hardly limited to this population. Post-traumatic stress and other mental health conditions affect wide swaths of the world’s population, and solutions that work in one community can often translate more broadly to others. It’s a massive, massive market, and one that could potentially transform the lives of millions of people for the better.
Before moving on, there’s one other area of interest here, and that is creating impactful communities for healing. First responders and military veterans experience a mission and camaraderie in their service that they often lack once they are in new jobs or on convalescence. DelaCruz of Team Rubicon says that one of the goals of bringing veterans to help in disaster regions is that the veterans themselves “reconnect with identity and community — we have these incredible assets in these men and women who have served.” It’s not enough to just find a single treatment per patient — we oftentimes need to zoom out to the wider population to see how mental health ripples out.
Helping people find purpose may not be the easiest challenge to solve as a startup, but it’s certainly a major challenge for many, and an area fermenting with new approaches now that the the social networking wave has reached its nadir.
Decentralization has been all the rage in tech in recent years — just mention the word blockchain in a TechCrunch article to get at least 50 PR emails about the latest NFT for a toilet stain. While there is obviously a lot of noise, one area where substance may pan out well is in disaster response.
If the COVID-19 pandemic showed anything, it was the power of the internet to aggregate as well as verify data, build dashboards, and deliver highly-effective visualizations of complex information for professionals and laypeople alike. Those products were developed by people all around the world often from the comfort of their own homes, and they demonstrate how crowds can quickly draft serious labor to help respond to crises as they crop up.
Jonathan Sury, project director at the National Center for Disaster Preparedness at the Earth Institute at Columbia University, said that “COVID has really blown so much of what we think about out of the water.” With so many ways to collaborate online right now, “that’s what I would say is very exciting … and also practical and empowering.”
Clark-Ginsberg of RAND calls it the “next frontier of disaster management.” He argues that “if you can use technology to broaden the number of people who can participate in disaster management and respond to disasters,” then we might be reaching an entirely new paradigm for what effective disaster response will look like. “Formal structures [for professional frontline workers] have strengthened and that has saved lives and resources, but our ability to engage with everyday responders is still something to work on.”
Many of the tools that underpin these crowdsourced efforts don’t even focus on disasters. Sury pointed to Tableau and data visualization platform Flourish as examples of the kinds of tools that remote, lay first responders are using. There are now quite robust tools for tabular data, but we’re still relatively early in the development of tools for handling mapping data — obviously critical in the crisis context. Unfolded.ai, which I profiled earlier this year, is working on building scalable geospatial analytics in the browser. A lot more can be done here.
Oftentimes there are ways to coordinate the coordinators. Develop for Good, which I looked at late last year, is a non-profit designed to connect enterprising computer science students to software and data projects at non-profits and agencies that needed help during the pandemic. Sometimes these coordinators are non-profit orgs, and sometimes, just very active Twitter accounts. There’s a lot more experimentation possible on how to coordinate efforts in a decentralized way while still engaging with professional first responders and the public sector.
Speaking of decentralization, it’s even possible that blockchain could play a role in disaster and crisis response. Many of these opportunities rest on using blockchain for evidence collection or for identity. For example, earlier this week Leigh Cuen took a careful look at an at-home sexual assault evidence collection kit from Leda Health that uses the blockchain to establish a clear time for when a sample was collected.
There is a lot more potential to harness the power of crowdsourcing and decentralization, and many of these projects have applications far outside disaster management itself. These tools not only solve real problems — they provide real community to people who may not be related to the disaster itself, but are enthusiastic to do their part to help others.
In terms of startups, the three markets I identified — better training, better mental health, and better crowdsourcing collaboration tools, particularly around data — collectively represent a very compelling set of markets that will not only be valuable for founders, but can rapidly improve lives.
In his book Normal Accidents, Charles Perrow talks about how an increasing level of complexity and coupledness in our modern technical systems all but guarantee disasters to occur. Add in a warming world as well as the intensity, frequency, and just plain unusualness of disasters arriving each year, and we are increasingly seeing entirely novel forms of emergencies we have never responded to before. Take most recently the ultra-frigid conditions in Texas that sapped power from its grid, leading to statewide blackouts for hours and days in some parts of the state.
Clark-Ginsberg said, “We are seeing these risks emerge that aren’t just typical wildfires — where we have a response structure that we can easily setup and manage the hazard, [we’re] very good at managing these typical disasters. There are more of these atypical disasters cropping up, and we have a very hard time setting up structures for this — the pandemic is a great example of that.”
He describes these challenges as “trans-boundary risk management,” disasters that cross bureaucratic lines, professions, societies, and means of action. “It takes a certain agility and the ability to move quickly and the ability to work in ways outside typical bureaucratic structures, and that is just challenging full stop,” he said.
Even as we begin to have better point solutions to the individual problems that disasters and their responses require, we can’t be remiss in neglecting the more systematic challenges that these emergencies are bringing to the fore. We have to start thinking about bringing humans together faster and in more novel ways to be the most effective, while coupling them flexibly and with agility to the best tools that meet their needs in the moment. That’s probably not literally “a startup,” but more a way of thinking about what it means to construct a disaster response fresh given the information available.
Amanda Levin, a policy analyst at the Natural Resources Defense Council, said that “even if we mitigate, there are huge pressures and huge impacts today from a warming world … even if we stop emissions today, [they] will still persist.” As one of my interviewees in government service who asked to go unnamed noted about disaster response, “You always are coming up short somewhere.” The problems are only getting harder, and we humans need much better tools to match the man-made trials we created for ourselves. That’s the challenge — and opportunity — for a tough century ahead.
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“Happy to spend 10 minutes on our vision and the journey we’re on, but then, really, 15 minutes on what we’ve got today, what it is we’ve achieved, what it is our AI does,” says Tractable co-founder and CEO Alexandre Dalyac when I video called him a couple of weeks ago. “You can probably speed up all of that,” I quip back.
The resulting conversation, lasting well over an hour, spanned all of the above and more, including what is required to build a successful AI business and why he and his team think they can help prevent another “AI winter.”
Founded in 2014 by Dalyac, Adrien Cohen and Razvan Ranca after going through company builder Entrepreneur First, London-based Tractable is applying artificial intelligence to accident and disaster recovery. Specifically, through the use of deep learning to automate visual damage appraisal, and therefore help speed up insurance payouts and access to other types of financial aid.
Our AI has already been trained on tens of millions of these cases, so that’s a perfect case of us already having distilled thousands of people’s work experience Alexandre Dalyac
Dalyac launches into what is clearly a well-rehearsed and evidently polished pitch. “We are on a journey to help the world recover faster from accidents and disasters. Our belief is that when accidents and disasters hit, the response could be 10 times faster thanks to AI. So what we mean there is, everything from road accidents, burst piping to large-scale floods and hurricane. Whenever any of these things happen, things get damaged.”
Those things, he says, broadly break down into cars, homes and crops, roughly equating to $1 trillion in damage each year. But, perhaps more importantly, livelihoods get impacted.
“If a car gets damaged, mobility is reduced. If a home gets damaged, shelter is reduced. And if crops get damaged, food is reduced. Across all of those accidents and disasters, we’re talking hundreds of millions of lives affected.”
It is here where a little lateral (and non-artificial) thinking is required. Accident and disaster recovery starts with visual damage appraisal: look at the damage, say how much it’s going to cost, unlock the funds and rebuild. The problem (and Tractable’s opportunity) is that having an appraiser look at a car, house or field can take days to weeks depending on availability — and therefore so can accessing funds to start rebuilding — whereas the claim is that computer vision and AI technology can potentially do the same job in minutes.
“When you assess, that is basically a very powerful but very narrow visual task, which is, look at the damage, how much is it gonna cost? Today, as you can imagine, these kind of assessments are manual. And they take days to weeks. And so you instantly know that with AI that can be 10 times faster,” says Dalyac.
“In some sense this is a perfect class of AI tasks, because it’s very heavy on image classification. And image classification is a task where AI can surpass human performance as of this decade. If you have instant appraisal, that means faster recovery. Hence the mission.”
Dalyac says that part of Tractable’s secret sauce is in the many millions of proprietary labels the company has produced. This has been aided by its patented “interactive machine learning technology,” which allows it to label images faster and cheaper than typical labeling services.
The team’s focus to date has been to train its AI to understand car damage, technology it has already deployed in six countries, seeing the startup work primarily with insurers.
Related to this I’m shown a simple demo of Tractable’s car damage appraisal tool. Dalyac opens a folder of car images on his laptop and uploads them to the software. Within seconds, the AI has seemingly identified the different parts of the car and determined which parts can be repaired and which parts need to be entirely written-off and therefore replaced fully. Each has an AI-generated estimated cost.
It all happens within a matter of minutes, although I have no way of knowing how difficult the pre-determined and fully controlled task is. It’s also unclear how an AI can possibly do the full job of a human assessor based on a limited set of 2D images alone, and without the ability to peek under the hood or undertake further investigations.
“We’re trying to figure out how much damage there is to a vehicle based on photos,” explains Dalyac. “There’s some really tough correlations to pick out, which are: based on the photos of the outside, what’s the internal damage? When you’re a human you are going to have seen and torn down maybe about a thousand to two thousand cars in your whole life of 20 or 30 years of doing that. Our AI has already been trained on tens of millions of these cases, so that’s a perfect case of us already having distilled thousands of people’s work experience. That allows us to get hold of some very challenging correlations that humans just can’t do.”
You need to find real-world use cases that will make a difference, where you can surpass human performance Alexandre Dalyac
With that said, he does concede that a photo doesn’t always contain all of the necessary information, and that it might only have a certain level of accuracy. “You might need to then get a tear-down of the car and get photos of the internal damage. You might even want to get some data from the dashboard. And you can think that as cars get more sensors… the appraisal will be not just visual but also based on IoT data. But that doesn’t detract from the fact that we are convinced that it will be AI that will be doing this entirely.”
What is abundantly clear is Dalyac’s commitment to developing AI technology with real-world use that is commercially viable. If that doesn’t happen, he believes it won’t just be Tractable that will suffer, but the continued belief and investment in AI as a whole. Here, of course, he’s talking about the prospect of another so-called “AI winter,” citing a recent Crunchbase report that says funding for artificial intelligence companies in the U.S. has levelled off and even started to decline at seed stage.
“If you’re trying to make the $15 billion that has been invested into AI not fuck up and lead to something successful that will prevent an AI winter that will lead to continuous improvement, you need a really good return on that asset class. And for that you need those businesses to be successful.
“To make an AI company successful, really successful — not just an acqui-hire, not just an IP exit but a real commercial success that’s going to prevent an AI winter — you need to find real-world use cases that will make a difference, where you can surpass human performance, where you can change the way things work,” he says.
The reference to acqui-hire or IP exit takes on more meaning when you consider that Tractable was in the same cohort at Entrepreneur First as Magic Pony Technology, the AI startup acquired by Twitter for up to $150 million for its image enhancing technology. And most recently, the team behind Bloomsbury AI, another EF company, was acqui-hired by Facebook for $20-30 million.
To ensure that Tractable can continue its mission of applying AI to accident and disaster recovery — and presumably not sell too early — the startup has closed $20 million in Series B investment in a round led by U.S. venture capital firm Insight Venture Partners. Existing investors, including Ignition Partners, Zetta Venture Partners, Acequia Capital and Plug and Play Ventures, also participated. The new capital is to be spent on accelerating growth, expanding its research and development and entering new markets.
(The Series B also included an additional $5 million in secondary funding, seeing some investors at least partially exit. I understand Tractable’s founders sold a relatively small number of shares as they were permitted to take money off the table. Dalyac declined to comment.)
As we wrap up our call, I note that all of Tractable’s main investors, not including EF, are from the U.S. — something Dalyac says was a deliberate decision after he discovered the gulf between European and U.S. valuations.
“That’s a shame, isn’t it?” I say with my European tech ecosystem hat on.
“It isn’t; it’s enormous exports for the U.K.,” says the Tractable CEO who is French-born but raised in the U.K. “We have, as of today, the vast majority of our headcount in London. The entire product team is in London. The entire R&D team is in London. But most of the revenue comes from the United States. We are making AI an export industry of the U.K.”
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