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Storm Ventures promotes Pascale Diaine and Frederik Groce to partners
Storm Ventures, a venture firm that focuses on early stage B2B enterprise startups, announced this week that it has promoted Pascale Diaine and Frederik Groce to partners at the firm.
The two new partners have worked their way up over the last several years. Groce joined Storm in 2016 and has invested in enterprise SaaS startups like Workato, Splashtop, NextRequest and Camino. Diaine joined a year later and has invested in firms like Sendoso, German Bionic, InEvent and Talkdesk.
Groce, who is also a founder at BLCK VC and helped organize the Black Venture Institute to create a network of Black investors, says that these promotions show that venture needs to be more diverse, and Storm recognizes this. “If you think about the way our team works, that’s the way I think venture teams will need to work to be able to be successful in the next 40 years. And so the hope is that over time everyone does this and we’re just early to it,” Groce told me.
Unfortunately, right now that’s not the case, not even close. According to research by Crunchbase, just 12% of venture capitalists are women and two-thirds of firms don’t have any female investors. Meanwhile, only about 4% of ventures investors are Black.
Those numbers have an impact on the number of Black and female founders because as Groce points out the lack of founders in underrepresented groups is in part a networking problem. “In a business that’s predicated on networks if you don’t have diversity in the network, or the teams that are driving those networks, you just can’t make sure you’re seeing great talent across all ecosystems,” he said.
Diaine, who is French and started her career by founding Orange Fab, the corporate accelerator of the European Telco Orange, has brought her international business background to Storm where they helped her tune that experience to an investor focus and supported her as she learned the nuances of the investment side of the business.
“I don’t come from the VC world. I come from the innovative corporate world. So they had to train me and spend time getting me up to date. And they did spend so much time making sure I understood everything to make sure I got to this level,” she said.
Both partners bring their own unique views looking beyond Silicon Valley for investment opportunities. Diaine’s investment include a German, Brazilian and Portuguese company, while Groce’s investments include companies in Chicago, Atlanta and Seattle.
The two partners have also developed an algorithm to help find investments based on a number of online signals, something that has become more important during the pandemic when they couldn’t network in person.
“Frederik and I have been working on [an algorithm to find] what are the signals that you can identify online that will tell you this company’s doing well, this company growing.You have to have a nice set of startup search tracking [signals], but what do you track if you can’t just get the revenue in real time, which is impossible. So we’ve developed an algorithm that helps us identify some of these signals and create alerts on which startups we should pay attention to,” Diaine explained.
She says this data-driven approach should be helpful and augment their in-person efforts even after the pandemic is over and increase their overall efficiency in finding and tracking companies in their portfolios.
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InEvent raises $2M for its virtual conference platform
InEvent, a startup powering virtual and hybrid events, is announcing that it has raised $2 million in seed funding from Storm Ventures.
That’s just a tiny fraction of the $125 million that online events platform Hopin raised last fall — in fact, a recent Equity episode suggested that Hopin might be the fastest growth story of the current startup era.
CEO Pedro Góes told me that even in a world of more established and better-funded platforms, his team sees an opportunity to break out by focusing on business-to-business events.
“There’s an opening in the space for us to be the leader that we want on B2B,” Góes said. “We don’t intend to compete with platforms in the B2C market.”
Put another way, InEvent is less focused on replicating giant consumer events and more on helping businesses hold virtual events where they can connect with clients and partners. Góes said this is something that he and his co-founders Mauricio Giordano and Vinicius Neris saw in their previous work running a digital agency, where they were often asked to help with events in this vein.
“Since we had a lot of experience with events, we could see where the industry was broken and how to fix it,” he said.
Image Credits: InEvent
Góes suggested that two of the big needs for B2B events are customization and support, so InEvent has created what he described as a “really beautiful” product that can still be customized with the organizer’s branding, and the company also offers 24-hour support.
The platform is a virtual lobby where participants can browse all the programming, a video player, a registration system, the ability to create a conference mobile app and more. Góes said the goal was to build something that was “really flexible,” allowing organizers to run everything from within InEvent while also allowing them to incorporate outside tools, whether that’s video platforms like Zoom or CRM software like Salesforce, Marketo and HubSpot.
InEvent’s founders are from Brazil, but the startup is headquartered in Atlanta and has employees in 13 countries. It says it’s been used by more than 500 customers for global events, including DowDupont, Coca-Cola and Santander.
With the new funding, Góes told me the startup will be able to expand the team (he was proud to note the team’s diversity — 50% of its managers are women, and 50% of its managers come from a Latinx background). It also will continue to develop the product, for example by improving the video player and adding more marketing automation.
And when the pandemic ends and large-scale, in-person conferences become possible again, Góes predicts there will still be plenty of appetite for what InEvent can do, because more events will bring online and in-person elements together.
“We have different clients where we have a website, we have a mobile app, but we also have hardware [to] connect with in-person,” he said. After all, if you’re at a sprawling conference like CES, it might still be convenient to chat with another attendee through the mobile app, rather than traveling two miles to see them face-to-face. “For us, what we are building, the technology for virtual and in-person, is the same thing.”
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Krisp snags $5M A round as demand grows for its voice-isolating algorithm
Krisp’s smart noise suppression tech, which silences ambient sounds and isolates your voice for calls, arrived just in time. The company got out in front of the global shift to virtual presence, turning early niche traction into real customers and attracting a shiny new $5 million Series A funding round to expand and diversify its timely offering.
We first met Krisp back in 2018 when it emerged from UC Berkeley’s Skydeck accelerator. The company was an early one in the big surge of AI startups, but with a straightforward use case and obviously effective tech it was hard to be skeptical about.
Krisp applies a machine learning system to audio in real time that has been trained on what is and isn’t the human voice. What isn’t a voice gets carefully removed even during speech, and what remains sounds clearer. That’s pretty much it! There’s very little latency (15 milliseconds is the claim) and a modest computational overhead, meaning it can work on practically any device, especially ones with AI acceleration units like most modern smartphones.
The company began by offering its standalone software for free, with a paid tier that removed time limits. It also shipped integrated into popular social chat app Discord. But the real business is, unsurprisingly, in enterprise.
“Early on our revenue was all pro, but in December we started onboarding enterprises. COVID has really accelerated that plan,” explained Davit Baghdasaryan, co-founder and CEO of Krisp. “In March, our biggest customer was a large tech company with 2,000 employees — and they bought 2,000 licenses, because everyone is remote. Gradually enterprise is taking over, because we’re signing up banks, call centers and so on. But we think Krisp will still be consumer-first, because everyone needs that, right?”
Now even more large companies have signed on, including one call center with some 40,000 employees. Baghdasaryan says the company went from 0 to 600 paying enterprises, and $0 to $4 million annual recurring revenue, in a single year, which probably makes the investment — by Storm Ventures, Sierra Ventures, TechNexus and Hive Ventures — look like a pretty safe one.
It’s a big win for the Krisp team, which is split between the U.S. and Armenia, where the company was founded, and a validation of a global approach to staffing — world-class talent isn’t just to be found in California, New York, Berlin and other tech centers, but in smaller countries that don’t have the benefit of local hype and investment infrastructure.
Funding is another story, of course, but having raised money the company is now working to expand its products and team. Krisp’s next move is essentially to monitor and present the metadata of conversation.
“The next iteration will tell you not just about noise, but give you real time feedback on how you are performing as a speaker,” Baghdasaryan explained. Not in the toastmasters sense, exactly, but haven’t you ever wondered about how much you actually spoke during some call, or whether you interrupted or were interrupted by others, and so on?
“Speaking is a skill that people can improve. Think Grammar.ly for voice and video,” Baghdasaryan ventured. “It’s going to be subtle about how it gives that feedback to you. When someone is speaking they may not necessarily want to see that. But over time we’ll analyze what you say, give you hints about vocabulary, how to improve your speaking abilities.”
Since architecturally Krisp is privy to all audio going in and out, it can fairly easily collect this data. But don’t worry — like the company’s other products, this will be entirely private and on-device. No cloud required.
“We’re very opinionated here: Ours is a company that never sends data to its servers,” said Baghdasaryan. “We’re never exposed to it. We take extra steps to create and optimize our tech so the audio never leaves the device.”
That should be reassuring for privacy wonks who are suspicious of sending all their conversations through a third party to be analyzed. But after all, the type of advice Krisp is considering can be done without really “understanding” what is said, which also limits its scope. It won’t be coaching you into a modern Cicero, but it might help you speak more consistently or let you know when you’re taking up too much time.
For the immediate future, though, Krisp is still focused on improving its noise-suppression software, which you can download for free here.
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Nvidia acquires data storage and management platform SwiftStack
Nvidia today announced that it has acquired SwiftStack, a software-centric data storage and management platform that supports public cloud, on-premises and edge deployments.
The company’s recent launches focused on improving its support for AI, high-performance computing and accelerated computing workloads, which is surely what Nvidia is most interested in here.
“Building AI supercomputers is exciting to the entire SwiftStack team,” says the company’s co-founder and CPO Joe Arnold in today’s announcement. “We couldn’t be more thrilled to work with the talented folks at NVIDIA and look forward to contributing to its world-leading accelerated computing solutions.”
The two companies did not disclose the price of the acquisition, but SwiftStack had previously raised about $23.6 million in Series A and B rounds led by Mayfield Fund and OpenView Venture Partners. Other investors include Storm Ventures and UMC Capital.
SwiftStack, which was founded in 2011, placed an early bet on OpenStack, the massive open-source project that aimed to give enterprises an AWS-like management experience in their own data centers. The company was one of the largest contributors to OpenStack’s Swift object storage platform and offered a number of services around this, though it seems like in recent years it has downplayed the OpenStack relationship as that platform’s popularity has fizzled in many verticals.
SwiftStack lists the likes of PayPal, Rogers, data center provider DC Blox, Snapfish and Verizon (TechCrunch’s parent company) on its customer page. Nvidia, too, is a customer.
SwiftStack notes that it team will continue to maintain an existing set of open source tools like Swift, ProxyFS, 1space and Controller.
“SwiftStack’s technology is already a key part of NVIDIA’s GPU-powered AI infrastructure, and this acquisition will strengthen what we do for you,” says Arnold.
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Calculating sales efficiency in a startup: The magic number that will help you scale
Ryan Floyd is a founding managing director of Storm Ventures, investing in early-stage enterprise SaaS companies, and the host of Ask a VC YouTube channel.
Sales efficiency is the best way to understand the economics of a business. To me, it answers the question as to whether a business can ever scale. The harsh truth is, if it can’t scale, investors won’t be interested.
Sales efficiency is more simple to measure than other related concepts like CAC (customer acquisition cost) or LTV (lifetime value). Here’s why:
- CAC is harder to truly measure, especially new CAC. In a SaaS organization, sometimes it can be hard to allocate those costs to what that new CAC is, as opposed to upsell or cross-sell within the same organization. Salespeople are almost always trying to pursue two goals:
- Trying to acquire new customers
- Selling within an existing customer (more seats within an established department, or expanding to a new division)
These activities generate different CAC; trying to strip out only the new CAC can be tricky. Sales efficiency, on the other hand, looks at all net new ARR (annual recurring revenue), which includes new customer ARR as well as expansion ARR.
- LTV tries to measure the value of a customer over time, assuming both repeat purchases and eventual churn; this gives you a good sense of the ultimate value of that customer to your business over time. The challenge with LTV in SaaS is that the data points that you might use to assume churn and repeat purchase behavior aren’t very robust — there are few SaaS businesses that have enough customers to really make these numbers reliable.
Enterprise businesses should focus on unit economics of sales early. When a business scales, it rarely buys you better economics — usually it just means more losses.
Image via Ryan Floyd / Storm Ventures
The role of sales efficiency in your ‘go-to-market fit’
At Storm Ventures we use a concept we call finding ‘go-to-market fit’ (GTM fit).
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Workato raises $25M for its integration platform
Workato, a startup that offers an integration and automation platform for businesses that competes with the likes of MuleSoft, SnapLogic and Microsoft’s Logic Apps, today announced that it has raised a $25 million Series B funding round from Battery Ventures, Storm Ventures, ServiceNow and Workday Ventures. Combined with its previous rounds, the company has now received investments from some of the largest SaaS players, including Salesforce, which participated in an earlier round.
At its core, Workato’s service isn’t that different from other integration services (you can think of them as IFTTT for the enterprise), in that it helps you to connect disparate systems and services, set up triggers to kick off certain actions (if somebody signs a contract on DocuSign, send a message to Slack and create an invoice). Like its competitors, it connects to virtually any SaaS tool that a company would use, no matter whether that’s Marketo and Salesforce, or Slack and Twitter. And like some of its competitors, all of this can be done with a drag-and-drop interface.
What’s different, Workato founder and CEO Vijay Tella tells me, is that the service was built for business users, not IT admins. “Other enterprise integration platforms require people who are technical to build and manage them,” he said. “With the explosion in SaaS with lines of business buying them — the IT team gets backlogged with the various integration needs. Further, they are not able to handle all the workflow automation needs that businesses require to streamline and innovate on the operations.”
Battery Ventures’ general partner Neeraj Agrawal also echoed this. “As we’ve all seen, the number of SaaS applications run by companies is growing at a very rapid clip,” he said. “This has created a huge need to engage team members with less technical skill-sets in integrating all these applications. These types of users are closer to the actual business workflows that are ripe for automation, and we found Workato’s ability to empower everyday business users super compelling.”
Tella also stressed that Workato makes extensive use of AI/ML to make building integrations and automations easier. The company calls this Recipe Q. “Leveraging the tens of billions of events processed, hundreds of millions of metadata elements inspected and hundreds of thousands of automations that people have built on our platform — we leverage ML to guide users to build the most effective integration/automation by recommending next steps as they build these automations,” he explained. “It recommends the next set of actions to take, fields to map, auto-validates mappings, etc. The great thing with this is that as people build more automations — it learns from them and continues to make the automation smarter.”
The AI/ML system also handles errors and offers features like sentiment analysis to analyze emails and detect their intent, with the ability to route them depending on the results of that analysis.
As part of today’s announcement, the company is also launching a new AI-enabled feature: Automation Editions for sales, marketing and HR (with editions for finance and support coming in the future). The idea here is to give those departments a kit with pre-built workflows that helps them to get started with the service without having to bring in IT.
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Meet Alchemist Accelerator’s latest demo day cohort
An IoT-enabled lab for cannabis farmers, a system for catching drones mid-flight and the Internet of Cows are a few of the 17 startups exhibiting today at Alchemist Accelerator’s 18th demo day. The event, which will be streamed live here, focuses on big data and AI startups with an enterprise bent.
The startups are showing their stuff at Juniper’s Aspiration Dome in Sunnyvale, California at 3pm today, but you can catch the whole event online if you want to see just what computers and cows have in common. Here are the startups pitching onstage.
Tarsier – Tarsier has built AI computer vision to detect drones. The founders discovered the need while getting their MBAs at Stanford, after one had completed a PhD in aeronautics. Drones are proliferating. And getting into places they shouldn’t — prisons, R&D centers, public spaces. Securing these spaces today requires antiquated military gear that’s clunky and expensive. Tarsier is all software. And cheap, allowing them to serve markets the others can’t touch.
Lightbox – Retail 3D is sexy — think virtual try-ons, VR immersion, ARKit stores. But creating these experiences means creating 3D models of thousands of products. Today, artists slog through this process, outputting a few models per day. Lightbox wants to eliminate the humans. This duo of recent UPenn and Stanford Computer Science grads claim their approach to 3D scanning is pixel perfect without needing artists. They have booked $40,000 to date and want to digitize all of the world’s products.
Vorga – Cannabis is big business — more than $7 billion in revenue today and growing fast. The crop’s quality — and a farmer’s income — is highly sensitive to a few chemicals in it. Farmers today test the chemical composition of their crops through outsourced labs. Vorga’s bringing the lab in-house to the cannabis farmer via their IoT platform. The CEO has a PhD in chemical physics, and formerly helped the Department of Defense keep weapons of mass destruction out of the hands of terrorists. She’s now helping cannabis farmers get high… revenue.
Neulogic – Neulogic is founded by a duo of Computer Science PhDs that led key parts of Walmart.com product search. They now want to solve two major problems facing the online apparel industry: the need to provide curated inspiration to shoppers and the need to offset rising customer acquisition costs by selling more per order. Their solution combines AI with a fashion knowledge graph to generate outfits on demand.
Intensivate – Life used to be simple. Enterprises would use servers primarily for function-driven applications like billing. Today, servers are all about big data, analytics and insight. Intensivate thinks servers need a new chip upgrade to reflect that change. They are building a new CPU they claim gets 12x the performance for the same cost. Hardware plays like this are hard to pull off, but this might be the team to do it. It includes the former co-founder and CEO of CPU startup QED, which was acquired for $2.3 billion, and a PhD in parallel computation who was on the design team for the Alpha CPU from DEC.
Integry – SaaS companies put a lot of effort into building out integrations. Integry provides app creators their own integrations marketplace with pre-boarded partners so they can have apps working with theirs from the get go. The vision is to enable app creators to mimic their own Slack app directory without spending the years or the millions. Because these integrations sit inside their app, Integry claims setup rates are significantly better and churn is reduced by as much as 40 percent.
Cattle Care – AI video analytics applied to cows! Cattle Care wants to increase dairy farmers’ revenue by more than $1 million per year and make cows healthier at the same time. The product identifies cows in the barn by their unique black and white patterns. Algorithms collect parameters such as walking distance, interactions with other cows, feeding patterns and other variables to detect diseases early. Then the system sends alerts to farm employees when they need to take action, and confirms the problem has been solved afterwards.
VadR – VR/AR is grappling with a lack of engaging content. VadR thinks the cause is a broken feedback loop of analytics to the creators. This trio of IIT-Delhi engineers has built machine learning algorithms that get smarter over time and deliver actionable insights on how to modify content to increase engagement.
Tika – This duo of ex-Googlers wants to help engineering managers manage their teams better. Managers use Tika as an AI-powered assistant over Slack to facilitate personalized conversations with engineering teams. The goal is to quickly uncover and resolve employee engagement issues, and prevent talent churn.
GridRaster – GridRaster wants to bring AR/VR to mobile devices. The problem? AR/VR is compute-intensive. Latency, bandwidth and poor load balancing kill AR/VR on mobile networks. The solution? For this trio of systems engineers from Broadcom, Qualcomm and Texas Instruments, it’s about starting with enterprise use cases and building edge clouds to offload the work. They have 12 patents.
AitoeLabs – Despite the buzz around AI video analytics for security, AitoeLabs claims solutions today are plagued with hundreds of thousands of false alarms, requiring lots of human involvement. The engineering trio founding team combines a secret sauce of contextual data with their own deep models to solve this problem. They claim a 6x reduction in human monitoring needs with their tech. They’re at $240,000 ARR with $1 million of LOIs.
Ubiquios – Companies building wireless IoT devices waste more than $1.8 billion because of inadequate embedded software options making products late to market and exposing them to security and interoperability issues. The Ubiquios wireless stack wants to simplify the development of wireless IoT devices. The company claims their stack results in up to 90 percent lower cost and up to 50 percent faster time to market. Qualcomm is a partner.
4me, Inc. – 4me helps companies organize and track their IT outsourcing projects. They have 16 employees, 92 customers and generate several million in revenue annually. Storm Ventures led a $1.65 million investment into the company.
TorchFi – You know the pop-up screen you see when you log into a Wi-Fi hotspot? TorchFi thinks it’s a digital gold mine in the waiting. Their goal is to convert that into a sales channel for hotspot owners. Their first product is a digital menu that transforms the login screen into a food ordering screen for hotels and restaurants. Cisco has selected them as one of 20 apps to be distributed on their Meraki hotspots.
Cogitai – This team of 16 PhDs wants to usher in a more powerful type of AI called continual learning. The founders are the fathers of the field — and include professors in computer science from UT Austin and U Michigan. Unlike what we commonly think of as AI, Cogitai’s AI is built to acquire new skills and knowledge from experience, much like a child does. They have closed $2 million in bookings this year, and have $5 million in funding.
LoadTap – On-demand trucking apps are in vogue. LoadTap explicitly calls out that it is not one. This team, which includes an Apple software architect and founder with a family background in trucking, is an enterprise SaaS-only solution for shippers who prefer to work with their pre-vetted trucking companies in a closed loop. LoadTap automates matching between the shippers and trucking companies using AI and predictive analytics. They’re at $90,000 ARR and growing revenue 50 percent month over month.
Ondaka – Ondaka has built a VR-like 3D platform to render industrial information visually, starting with the oil and gas industry. For these industrial customers, the platform provides a better way to understand real-time IoT data, operational and job site safety issues and how reliable their systems are. The product launched two months ago, they have closed three customers already and are projecting ARR in the six figures. They have raised $350,000 in funding.
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Storm Ventures brings on two new partners at enterprise-focused firm
In a town full of venture capital firms, Storm Ventures has made its mark with a singular focus on the enterprise. This week, the company announced it has taken on two freshly minted partners, Arun Penmetsa and Paul Willard, to continue the mission. They are doubling the number of partners with this announcement. Penmetsa has been a principal at Storm for the last 3.5 years before being… Read More
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Logikcull raises $10M to let lawyers analyze documents at the speed of a thousand interns
As entertaining and interesting as made-for-TV lawsuits (like the O.J trial) are, they always leave out one key element. The hundreds of hours of research that goes on behind the scenes to prepare for an important trial. Before any big trial a lawyer (and their associates and interns) has to find, organize and examine thousands of documents. The process is officially called Discovery, and is… Read More
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CareSkore gets $4.3M to bring machine learning to preventive care
Among other things, CareSkore wants to use machine learning to anticipate mortality. However, the newly endowed platform is more than just a Facebook poll that tells you how you’ll meet your end this Christmas by being squashed by a falling piano. Storm ventures, Cota Capital, Rising Tide Fund and Liquid 2 Ventures are rallying behind the Y Combinator graduate with today’s… Read More
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