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Slim.ai announces $6.6M seed to build container DevOps platform
We are more than seven years into the notion of modern containerization, and it still requires a complex set of tools and a high level of knowledge on how containers work. The DockerSlim open-source project developed several years ago from a desire to remove some of that complexity for developers.
Slim.ai, a new startup that wants to build a commercial product on top of the open-source project, announced a $6.6 million seed round today from Boldstart Ventures, Decibel Partners, FXP Ventures and TechAviv Founder Partners.
Company co-founder and CEO John Amaral says he and fellow co-founder and CTO Kyle Quest have worked together for years, but it was Quest who started and nurtured DockerSlim. “We started coming together around a project that Kyle built called DockerSlim. He’s the primary author, inventor and up until we started doing this company, the sole proprietor of that community,” Amaral explained.
At the time Quest built DockerSlim in 2015, he was working with Docker containers and he wanted a way to automate some of the lower-level tasks involved in dealing with them. “I wanted to solve my own pain points and problems that I had to deal with, and my team had to deal with dealing with containers. Containers were an exciting new technology, but there was a lot of domain knowledge you needed to build production-grade applications and not everybody had that kind of domain expertise on the team, which is pretty common in almost every team,” he said.
He originally built the tool to optimize container images, but he began looking at other aspects of the DevOps lifecycle. including the author, build, deploy and run phases. He found as he looked at that, he saw the possibility of building a commercial company on top of the open-source project.
Quest says that while the open-source project is a starting point, he and Amaral see a lot of areas to expand. “You need to integrate it into your developer workflow and then you have different systems you deal with, different container registries, different cloud environments and all of that. […] You need a solution that can address those needs and doing that through an open source tool is challenging, and that’s where there’s a lot of opportunity to provide premium value and have a commercial product offering,” Quest explained.
Ed Sim, founder and general partner at Boldstart Ventures, one of the seed investors, sees a company bringing innovation to an area of technology where it has been lacking, while putting some more control in the hands of developers. “Slim can shift that all left and give developers the power through the Slim tools to answer all those questions, and then, boom, they can develop containers, push them into production and then DevOps can do their thing,” he said.
They are just 15 people right now including the founders, but Amaral says building a diverse and inclusive company is important to him, and that’s why one of his early hires was head of culture. “One of the first two or three people we brought into the company was our head of culture. We actually have that role in our company now, and she is a rock star and a highly competent and focused person on building a great culture. Culture and diversity to me are two sides of the same coin,” he said.
The company is still in the very early stages of developing that product. In the meantime, they continue to nurture the open-source project and to build a community around that. They hope to use that as a springboard to build interest in the commercial product, which should be available some time later this year.
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Use Git data to optimize your developers’ annual reviews
The end of the year is looming and with it one of your most important tasks as a manager. Summarizing the performance of 10, 20 or 50 developers over the past 12 months, offering personalized advice and having the facts to back it up — is no small task.
We believe that the only unbiased, accurate and insightful way to understand how your developers are working, progressing and — last but definitely not least — how they’re feeling, is with data. Data can provide more objective insights into employee activity than could ever be gathered by a human.
It’s still very hard for many managers to fully understand that all employees work at different paces and levels.
Consider this: Over two-thirds of employees say they would put more effort into their work if they felt more appreciated, and 90% want a manager who’s fair to all employees.
Let’s be honest. It’s hard to judge all of your employees fairly if you’re (1) unable to work physically side-by-side with them, meaning you’ll inevitably have more contact with the some over others (e.g., those you’re more friendly with); and (2) you’re relying on manual trackers to keep on top of everyone’s work, which can get lost and take a lot of effort to process and analyze; (3) you expect engineers to self-report their progress, which is far from objective.
It’s also unlikely, especially with the quieter ones, that on top of all that you’ll have identified areas for them to expand their talents by upskilling or reskilling. But it’s that kind of personal attention that will make employees feel appreciated and able to progress professionally with you. Absent that, they’re likely to take the next best job opportunity that shows up.
So here’s a run down of why you need data to set up a fair annual review process; if not this year, then you can kick-start it for 2021.
1. Use data to set next year’s goals
The best way to track your developers’ progress automatically is by using Git Analytics tools, which track the performance of individuals by aggregating historical Git data and then feeding that information back to managers in minute detail.
This data will clearly show you if one of your engineers is over capacity or underworked and the types of projects they excel in. If you’re assessing an engineering manager and the team members they’re responsible for have been taking longer to push their code to the shared repository, causing a backlog of tasks, it may mean that they’re not delegating tasks properly. An appropriate goal here would be to track and divide their team’s responsibilities more efficiently, which can be tracked using the same metrics, or cross-training members of other teams to assist with their tasks.
Another example is that of an engineer who is dipping their toe into multiple projects. Indicators of where they’ve performed best include churn (we’ll get to that later), coworkers repeatedly asking that same employee to assist them in new tasks and of course positive feedback for senior staff, which can easily be integrated into Git analytics tools. These are clear signs that next year, your engineer could be maximizing their talents in these alternative areas, and you could diversify their tasks accordingly.
Once you know what targets to set, you can use analytics tools to create automatic targets for each engineer. That means that after you’ve set it up, it will be updated regularly on the engineer’s progress using indicators directly from the code repository. It won’t need time-consuming input from either you or your employee, allowing you both to focus on more important tasks. As a manager you’ll receive full reports once the deadline of the task is reached and get notified whenever metrics start dropping or the goal has been met.
This is important — you’ll be able to keep on top of those goals yourself, without having to delegate that responsibility or depend on self-reporting by the engineer. It will keep employee monitoring honest and transparent.
2. Three Git metrics can help you understand true performance quality
The easiest way for managers to “conclude” how an engineer has performed is by looking at superficial output: the number of completed pull requests submitted per week, the number of commits per day, etc. Especially for nontechnical managers, this is a grave but common error. When something is done, it doesn’t mean it’s been done well or that it is even productive or usable.
Instead, look at these data points to determine the actual quality of your engineer’s work:
- Churn is your number-one red flag, telling you how many times someone has modified their code in the first 21 days after it has been checked in. The more churn, the less of an engineer’s code is actually productive, with good longevity. Churn is a natural and healthy part of the software development process, but we’ve identified that any churn level above the normal 15%-30% indicates that an engineer is struggling with assignments.
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StepZen snares $8M seed to build data integration API
StepZen, a new startup from the crew who gave you Apigee (which was sold to Google in 2016 for $625 million) had a different vision for their latest company. They are building a single API that pulls data from disparate sources to help developers deliver more complex customer experiences online.
Today, the startup emerged from stealth and announced an $8 million seed investment from Neotribe Ventures and Wing Venture Capital .
With years of experience working with APIs, the founders wanted to take that a step further, says CEO and co-founder Anant Jhingran. “StepZen is a product that lets front end developers easily create and consume one API for all the data they need from the back end,” he explained.
This is all in the service of providing a smoother, more consistent customer experience. That means whether you are on an e-commerce site accessing your order history or a banking app grabbing your current balance, these scenarios require pulling data from various back-end data resources. Connecting to those resources is a time-consuming task, and StepZen wants to simplify that for developers.
“Developers spend an enormous amount of time deploying and managing code that accesses the back end, and what StepZen wants to do is to give them that time back,” he said.
Instead of manually writing code to pull this data, StepZen enables developers to simply provide configuration information and credentials to connect to these back-end data sources, and then it builds a single API that handles all of the heavy lifting of pulling that data and presenting it when needed.
Jhingran uses the example of presenting a list of open orders for a customer. It sounds simple enough, but once you consider that the data could live in several places, including the CRM system, the order system or with your courier, that means accessing at least three separate and highly disparate systems. StepZen will help pull this all together via its API and present it smoothly to the user.
Today the company has 11 employees, including the three founders, with plans to add another eight or so in 2021. As they do that, CBO and co-founder Helen Whelan says they are working to build a diverse and inclusive company. While the founding team is itself diverse, they want to hire employees with diverse backgrounds and ways of thinking to build the most complete product and company.
“For the first 10 or so employees, we tapped into the networks of the people who we’ve worked with, people who you know can do a great job. Then I think it’s about deliberately expanding from there and deliberately taking the time that you need to explore and expand your pipeline of candidates,” she said.
The company is just nine months old and has been spending most of this year building the solution and working with pre-alpha users. Today the product is in alpha, with plans to release it as a software service early next year.
As the company emerges from stealth, it’s looking to continue building the product and looking for ways to remove as much complexity as possible. “We know how to do the hard things on the back end. We’ve got the database technologies and the API technologies down, and it’s now about finding how to make all of that simple on the outside and easy for developers to use, ” Whelan said.
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NextMind’s Dev Kit for mind-controlled computing offers a rare ‘wow’ factor in tech
NextMind debuted its Dev Kit hardware at CES last year, but the hardware is now actually shipping, and the startup shared with me the production version to take a test drive. The NextMind controller is a sensor that reads electrical signals from your brain’s visual cortex, and translates those into input signals for a connected PC. A lot of companies have developed novel input solutions that use either eye tracking or electrical impulse input from the body, but NextMind’s is the first I’ve tried that worked instantly and wonderfully, providing a truly amazing experience of a kind that’s hard to find in the current world of relatively mature computing paradigms.
The basics
NextMind’s developer kit is just that — a product aimed at developers that’s meant to give them everything they need to get building software that works with NextMind’s hardware and APIs. It includes the NextMind sensor, which works with a range of headgear, including simple straps, Oculus VR headsets and even baseball hats, along with the software and SDK required to make it work on your PC.
Image Credits: NextMind
The package that NextMind provided me included the sensor, a fabric headband, a Surface PC with the engine pre-installed and a USB gamepad for use with one of the company’s pre-built software demos.
The sensor itself is lightweight, and can operate for up to eight hours continuously on a single charge. It can charge via USB-C, and its software is compatible with both Mac and PC, along with Oculus, HTC Vive and also Microsoft’s HoloLens.
Design and features
The NextMind sensor itself is surprisingly small and light — it fits in the palm of your hand, with two arms that extend slightly beyond that. It features an integrated clip mount that can be used to attach it to just about anything to secure it to your head. In terms of fit, you just need to ensure that the nine sets of two-pronged electrode sensors make contact with your skin, which NextMind provides instructions on doing by essentially making sure it straps snugly to your head, and then “combing” the device slightly (moving it up and down to get your hair out of the way).
It wears comfortably, though you will notice the electrodes pressing into your skin, especially over longer use periods. The ability to use a standard baseball cap with the clip makes it super convenient to install and wear, and it worked with the Oculus Rift and Oculus Quest headstraps easily and instantly, too.
Image Credits: NextMind
Setup was a breeze. I was guided by NextMind’s co-creators, but the app provides clear instructions as well. There’s a calibration process during which you look at an animation being displayed on the host PC, which helps the sensor identify the specific signals your occipital lobe is emitting when performing the target behaviour that you’ll later use to actually interact with NextMind-optimized software.
Here’s where it’s worth pausing to explain how NextMind is actually “reading your thoughts”: The sensor basically learns what it looks like when your brain is engaged in what the company calls “active, visual focus.” It does this using a common signal that it overlays on controllable elements of a software’s graphical user interface. That way, when you focus on a specific item, it can translate that into a “press” action, or a “hold and move,” or any other number of potential output results.
NextMind’s system is elegantly simple in conception, which is probably why it feels so powerful and rich in use. After the calibration process, I immediately jumped into the demos and was performing a range of actions effectively with my brain. First was media playback and window management on a desktop, and from there I moved on to composing music, entering a pin on a number pad and playing multiple games, including a platform where my mind control was supplementing my physical input on a USB gamepad to create a whole new level of fun and complex gameplay that wouldn’t be possible otherwise.
This is a Dev Kit, so the included software is just a small sampling of what could be possible with NextMind eventually, now that developers are able to build their own. What’s amazing is that the included samples are breathtaking on their own, providing an overall experience that is mind-bending in all the best possible ways. Imagining a future where NextMind hardware is even smaller and a seamless part of an overall computing experience that also includes traditional input is tantalizing, indeed.
Bottom line
NextMind’s Dev Kit is definitely just that — a Dev Kit. It’s intended for developers who are going to use it to write their own software that will take advantage of this unique, safe and convenient form of brain-computer interface (BCI). The kit retails for $399, and is now shipping. NextMind has plans to eventually consumerise the product, and to work with other OEMs as well on implementations, but for now, even in this state, it’s an awe-inspiring glimpse into what could well be the next major shift in our daily computing paradigm.
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Hightouch raises $2.1M to help businesses get more value from their data warehouses
Hightouch, a SaaS service that helps businesses sync their customer data across sales and marketing tools, is coming out of stealth and announcing a $2.1 million seed round. The round was led by Afore Capital and Slack Fund, with a number of angel investors also participating.
At its core, Hightouch, which participated in Y Combinator’s Summer 2019 batch, aims to solve the customer data integration problems that many businesses today face.
During their time at Segment, Hightouch co-founders Tejas Manohar and Josh Curl witnessed the rise of data warehouses like Snowflake, Google’s BigQuery and Amazon Redshift — that’s where a lot of Segment data ends up, after all. As businesses adopt data warehouses, they now have a central repository for all of their customer data. Typically, though, this information is then only used for analytics purposes. Together with former Bessemer Ventures investor Kashish Gupta, the team decided to see how they could innovate on top of this trend and help businesses activate all of this information.
HighTouch co-founders Kashish Gupta, Josh Curl and Tejas Manohar.
“What we found is that, with all the customer data inside of the data warehouse, it doesn’t make sense for it to just be used for analytics purposes — it also makes sense for these operational purposes like serving different business teams with the data they need to run things like marketing campaigns — or in product personalization,” Manohar told me. “That’s the angle that we’ve taken with Hightouch. It stems from us seeing the explosive growth of the data warehouse space, both in terms of technology advancements as well as like accessibility and adoption. […] Our goal is to be seen as the company that makes the warehouse not just for analytics but for these operational use cases.”
It helps that all of the big data warehousing platforms have standardized on SQL as their query language — and because the warehousing services have already solved the problem of ingesting all of this data, Hightouch doesn’t have to worry about this part of the tech stack either. And as Curl added, Snowflake and its competitors never quite went beyond serving the analytics use case either.
Image Credits: Hightouch
As for the product itself, Hightouch lets users create SQL queries and then send that data to different destinations — maybe a CRM system like Salesforce or a marketing platform like Marketo — after transforming it to the format that the destination platform expects.
Expert users can write their own SQL queries for this, but the team also built a graphical interface to help non-developers create their own queries. The core audience, though, is data teams — and they, too, will likely see value in the graphical user interface because it will speed up their workflows as well. “We want to empower the business user to access whatever models and aggregation the data user has done in the warehouse,” Gupta explained.
The company is agnostic to how and where its users want to operationalize their data, but the most common use cases right now focus on B2C companies, where marketing teams often use the data, as well as sales teams at B2B companies.
Image Credits: Hightouch
“It feels like there’s an emerging category here of tooling that’s being built on top of a data warehouse natively, rather than being a standard SaaS tool where it is its own data store and then you manage a secondary data store,” Curl said. “We have a class of things here that connect to a data warehouse and make use of that data for operational purposes. There’s no industry term for that yet, but we really believe that that’s the future of where data engineering is going. It’s about building off this centralized platform like Snowflake, BigQuery and things like that.”
“Warehouse-native,” Manohar suggested as a potential name here. We’ll see if it sticks.
Hightouch originally raised its round after its participation in the Y Combinator demo day but decided not to disclose it until it felt like it had found the right product/market fit. Current customers include the likes of Retool, Proof, Stream and Abacus, in addition to a number of significantly larger companies the team isn’t able to name publicly.
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AWS introduces new Chaos Engineering as a Service offering
When large companies like Netflix or Amazon want to test the resilience of their systems, they use chaos engineering tools designed to help them simulate worst-case scenarios and find potential issues before they even happen. Today at AWS re:Invent, Amazon CTO Werner Vogels introduced the company’s Chaos Engineering as a Service offering called AWS Fault Injection Simulator.
The name may lack a certain marketing panache, but Vogels said that the service is designed to help bring this capability to all companies. “We believe that chaos engineering is for everyone, not just shops running at Amazon or Netflix scale. And that’s why today I’m excited to pre-announce a new service built to simplify the process of running chaos experiments in the cloud,” Vogels said.
As he explained, the goal of chaos engineering is to understand how your application responds to issues by injecting failures into your application, usually running these experiments against production systems. AWS Fault Injection Simulator offers a fully managed service to run these experiments on applications running on AWS hardware.
Image Credits: Amazon / Getty Images
“FIS makes it easy to run safe experiments. We built it to follow the typical chaos experimental workflow where you understand your steady state, set a hypothesis and inject faults into your application. When the experiment is over, FIS will tell you if your hypothesis was confirmed, and you can use the data collected by CloudWatch to decide where you need to make improvements,” he explained.
While the company was announcing the service today, Vogels indicated it won’t actually be available until some time next year.
It’s worth noting that there are other similar services out there by companies, like Gremlin, which are already providing a broad Chaos Engineering Service as a Service offering.
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Supabase raises $6M for its open-source Firebase alternative
Supabase, a YC-incubated startup that offers developers an open-source alternative to Google’s Firebase and similar platforms, today announced that it has raised a $6 million funding round led by Coatue, with participation from YC, Mozilla and a group of about 20 angel investors.
Currently, Supabase includes support for PostgreSQL databases and authentication tools, with a storage and serverless solution coming soon. It currently provides all the usual tools for working with databases — and listening to database changes — as well as a web-based UI for managing them. The team is quick to note that while the comparison with Google’s Firebase is inevitable, it is not meant to be a 1-to-1 replacement for it. And unlike Firebase, which uses a NoSQL database, Supabase is using PostgreSQL.
Indeed, the team relies heavily on existing open-source projects and contributes to them where it can. One of Supabase’s full-time employees maintains the PostgREST tool for building APIs on top of the database, for example.
“We’re not trying to build another system,” Supabase co-founder and CEO Paul Copplestone told me. “We just believe that already there are well-trusted, scalable enterprise open-source products out there and they just don’t have this usability component. So actually right now, Supabase is an amalgamation of six tools, soon to be seven. Some of them we built ourselves. If we go to market and can’t find anything that we think is going to be scalable — or really solve the problems — then we’ll build it and we’ll open-source it. But otherwise, we’ll use existing tools.”
Image Credits: Supabase
The traditional route to market for open-source tools is to create a tool and then launch a hosted version — maybe with some additional features — to monetize the work. Supabase took a slightly different route and launched a hosted version right away.
If somebody would want to host the service themselves, the code is available, but running your own PaaS is obviously a major challenge, but that’s also why the team went with this approach. What you get with Firebase, he noted, is that it’s a few clicks to set everything up. Supabase wanted to be able to offer the same kind of experience. “That’s one thing that self-hosting just cannot offer,” he said. “You can’t really get the same wow factor that you can if we offered a hosted platform where you literally [have] one click and then a couple of minutes later, you’ve got everything set up.”
In addition, he also noted that he wanted to make sure the company could support the growing stable of tools it was building and commercializing its tools based on its database services was the easiest way to do so.
Like other Y Combinator startups, Supabase closed its funding round after the accelerator’s demo day in August. The team had considered doing a SAFE round, but it found the right group of institutional investors that offered founder-friendly terms to go ahead with this institutional round instead.
“It’s going to cost us a lot to compete with the generous free tier that Firebase offers,” Copplestone said. “And it’s databases, right? So it’s not like you can just keep them stateless and shut them down if you’re not really using them. [This funding round] gives us a long, generous runway and more importantly, for the developers who come in and build on top of us, [they can] take as long as they want and then start monetizing later on themselves.“
The company plans to use the new funding to continue to invest in its various tools and hire to support its growth.
“Supabase’s value proposition of building in a weekend and scaling so quickly hit home immediately,” said Caryn Marooney, general partner at Coatue and Facebook’s former VP of Global Communications. “We are proud to work with this team, and we are excited by their laser focus on developers and their commitment to speed and reliability.”
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Turing nabs $32M more for an AI-based platform to source and manage engineers remotely
As remote work continues to solidify its place as a critical aspect of how businesses exist these days, a startup that has built a platform to help companies source and bring on one specific category of remote employees — engineers — is taking on some more funding to meet demand.
Turing — which has built an AI-based platform to help evaluate prospective, but far-flung, engineers, bring them together into remote teams, then manage them for the company — has picked up $32 million in a Series B round of funding led by WestBridge Capital. Its plan is as ambitious as the world it is addressing is wide: an AI platform to help define the future of how companies source IT talent to grow.
“They have a ton of experience in investing in global IT services, companies like Cognizant and GlobalLogic,” said co-founder and CEO Jonathan Siddharth of its lead investor in an interview the other day. “We see Turing as the next iteration of that model. Once software ate the IT services industry, what would Accenture look like?”
It currently has a database of some 180,000 engineers covering around 100 or so engineering skills, including React, Node, Python, Agular, Swift, Android, Java, Rails, Golang, PHP, Vue, DevOps, machine learning, data engineering and more.
In addition to WestBridge, other investors in this round included Foundation Capital, Altair Capital, Mindset Ventures, Frontier Ventures and Gaingels. There is also a very long list of high-profile angels participating, underscoring the network that the founders themselves have amassed. It includes unnamed executives from Google, Facebook, Amazon, Twitter, Microsoft, Snap and other companies, as well as Adam D’Angelo (Facebook’s first CTO and CEO at Quora), Gokul Rajaram, Cyan Banister and Scott Banister, and Beerud Sheth (the founder of Upwork), among many others (I’ll run the full list below).
Turing is not disclosing its valuation. But as a measure of its momentum, it was only in August that the company raised a seed round of $14 million, led by Foundation. Siddharth said that the growth has been strong enough in the interim that the valuations it was getting and the level of interest compelled the company to skip a Series A altogether and go straight for its Series B.
The company now has signed up to its platform 180,000 developers from across 10,000 cities (compared to 150,000 developers back in August). Some 50,000 of them have gone through automated vetting on the Turing platform, and the task will now be to bring on more companies to tap into that trove of talent.
Or, “We are demand-constrained,” which is how Siddharth describes it. At the same time, it’s been growing revenues and growing its customer base, jumping from revenues of $9.5 million in October to $12 million in November, increasing 17x since first becoming generally available 14 months ago. Current customers include VillageMD, Plume, Lambda School, Ohi Tech, Proxy and Carta Healthcare.
Remote work = immediate opportunity
A lot of people talk about remote work today in the context of people no longer able to go into their offices as part of the effort to curtail the spread of COVID-19. But in reality, another form of it has been in existence for decades.
Offshoring and outsourcing by way of help from third parties — such as Accenture and other systems integrators — are two ways that companies have been scaling and operating, paying sums to those third parties to run certain functions or build out specific areas instead of shouldering the operating costs of employing, upsizing and sometimes downsizing that labor force itself.
Turing is essentially tapping into both concepts. On one hand, it has built a new way to source and run teams of people, specifically engineers, on behalf of others. On the other, it’s using the opportunity that has presented itself in the last year to open up the minds of engineering managers and others to consider the idea of bringing on people they might have previously insisted work in their offices, to now work for them remotely, and still be effective.
Siddarth and co-founder Vijay Krishnan (who is the CTO) know the other side of the coin all too well. They are both from India, and both relocated to the Valley first for school (post-graduate degrees at Stanford) and then work at a time when moving to the Valley was effectively the only option for ambitious people like them to get employed by large, global tech companies, or build startups — effectively what could become large, global tech companies.
“Talent is universal, but opportunities are not,” Siddarth said to me earlier this year when describing the state of the situation.
A previous startup co-founded by the pair — content discovery app Rover — highlighted to them a gap in the market. They built the startup around a remote and distributed team of engineers, which helped them keep costs down while still recruiting top talent. Meanwhile, rivals were building teams in the Valley. “All our competitors in Palo Alto and the wider area were burning through tons of cash, and it’s only worse now. Salaries have skyrocketed,” he said.
After Rover was acquired by Revcontent, a recommendation platform that competes against the likes of Taboola and Outbrain, they decided to turn their attention to seeing if they could build a startup based on how they had, basically, built their own previous startup.
There are a number of companies that have been tapping into the different aspects of the remote work opportunity, as it pertains to sourcing talent and how to manage it.
They include the likes of Remote (raised $35 million in November), Deel ($30 million raised in September), Papaya Global ($40 million also in September), Lattice ($45 million in July) and Factorial ($16 million in April), among others.
What’s interesting about Turing is how it’s trying to address and provide services for the different stages you go through when finding new talent. It starts with an AI platform to source and vet candidates. That then moves into matching people with opportunities, and onboarding those engineers. Then, Turing helps manage their work and productivity in a secure fashion, and also provides guidance on the best way to manage that worker in the most compliant way, be it as a contractor or potentially as a full-time remote employee.
The company is not freemium, as such, but gives people two weeks to trial people before committing to a project. So unlike an Accenture, Turing itself tries to build in some elasticity into its own product, not unlike the kind of elasticity that it promises its customers.
It all sounds like a great idea now, but interestingly, it was only after remote work really became the norm around March/April of this year that the idea really started to pick up traction.
“It’s amazing what COVID has done. It’s led to a huge boom for Turing,” said Sumir Chadha, managing director for WestBridge Capital, in an interview. For those who are building out tech teams, he added, there is now “No need for to find engineers and match them with customers. All of that is done in the cloud.”
“Turing has a very interesting business model, which today is especially relevant,” said Igor Ryabenkiy, managing partner at Altair Capital, in a statement. “Access to the best talent worldwide and keeping it well-managed and cost-effective make the offering attractive for many corporations. The energy of the founding team provides fast growth for the company, which will be even more accelerated after the B-round.”
PS. I said I’d list the full, longer list of investors in this round. In these COVID times, this is likely the biggest kind of party you’ll see for a while. In addition to those listed above, it included [deep breath] Founders Fund, Chapter One Ventures (Jeff Morris Jr.), Plug and Play Tech Ventures (Saeed Amidi), UpHonest Capital (Wei Guo, Ellen Ma), Ideas & Capital (Xavier Ponce de León), 500 Startups Vietnam (Binh Tran and Eddie Thai), Canvas Ventures (Gary Little), B Capital (Karen Appleton Page, Kabir Narang), Peak State Ventures (Bryan Ciambella, Seva Zakharov), Stanford StartX Fund, Amino Capital, Spike Ventures, Visary Capital (Faizan Khan), Brainstorm Ventures (Ariel Jaduszliwer), Dmitry Chernyak, Lorenzo Thione, Shariq Rizvi, Siqi Chen, Yi Ding, Sunil Rajaraman, Parakram Khandpur, Kintan Brahmbhatt, Cameron Drummond, Kevin Moore, Sundeep Ahuja, Auren Hoffman, Greg Back, Sean Foote, Kelly Graziadei, Bobby Balachandran, Ajith Samuel, Aakash Dhuna, Adam Canady, Steffen Nauman, Sybille Nauman, Eric Cohen, Vlad V, Marat Kichikov, Piyush Prahladka, Manas Joglekar, Vladimir Khristenko, Tim and Melinda Thompson, Alexandr Katalov, Joseph and Lea Anne Ng, Jed Ng, Eric Bunting, Rafael Carmona, Jorge Carmona, Viacheslav Turpanov, James Borow, Ray Carroll, Suzanne Fletcher, Denis Beloglazov, Tigran Nazaretian, Andrew Kamotskiy, Ilya Poz, Natalia Shkirtil, Ludmila Khrapchenko, Ustavshchikov Sergey, Maxim Matcin and Peggy Ferrell.
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Nutanix brings in former VMware exec as new CEO
Nutanix announced today that it was bringing in former VMware executive Rajiv Ramaswami as president and CEO. Ramaswami replaces co-founder Dheeraj Pandey, who announced his plans to retire in August.
The new CEO brings 30 years of industry experience to the position, including stints with Broadcom, Cisco, Nortel and IBM — in addition to his most recent gig at VMware as chief operating officer of Products and Cloud Services.
At his position at VMware, Ramaswami had the opportunity to see Nutanix up close as a key competitor, and he now has the opportunity to lead the company into its next phase. “I have long admired Nutanix as a formidable competitor, a pioneer in hyperconverged infrastructure solutions and a leader in cloud software,” he said in a statement. He hopes to build on his industry knowledge to continue growing the company.
Sohaib Abbasi, lead independent director of Nutanix, says that as a candidate, Ramaswami’s experience really stood out. “Rajiv distinguished himself among the CEO candidates with his rare combination of operational discipline, business acumen, technology vision and inclusive leadership skills,” he said in a statement.
Holger Mueller, an analyst at Constellation Research, says the hiring makes a lot of sense, as VMware is quickly becoming the company’s primary competitor. “Nutanix and VMware want to be the same in the future — the virtualization and workload portability Switzerland across cloud and on premise compute infrastructures,” he told me.
What’s more, it allows Nutanix to grab a talented executive. “So hiring Ramaswami brings both an expert for multi-cloud to the Nutanix helm, as well as weakening a key competitor from a talent perspective,” he said.
Nutanix was founded in 2009. It raised more than $600 million from firms like Khosla Ventures, Lightspeed Ventures, Sapphire Ventures, Fidelity and Wellington Management, according to Crunchbase data. The company went public in 2016. Investors seem pleased by the announcement, with the company stock price up 1.29% as of publication.
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Microsoft brings new process mining features to Power Automate
Power Automate is Microsoft’s platform for streamlining repetitive workflows — you may remember it under its original name: Microsoft Flow. The market for these robotic process automation (RPA) tools is hot right now, so it’s no surprise that Microsoft, too, is doubling down on its platform. Only a few months ago, the team launched Power Automate Desktop, based on its acquisition of Softomotive, which helps users automate workflows in legacy desktop-based applications, for example. After a short time in preview, Power Automate Desktop is now generally available.
The real news today, though, is that the team is also launching a new tool, the Process Advisor, which is now in preview as part of the Power Automate platform. This new process mining tool provides users with a new collaborative environment where developers and business users can work together to create new automations.
The idea here is that business users are the ones who know exactly how a certain process works. With Process Advisor, they can now submit recordings of how they process a refund, for example, and then submit that to the developers, who are typically not experts in how these processes usually work.
What’s maybe just as important is that a system like this can identify bottlenecks in existing processes where automation can help speed up existing workflows.
Image Credits: Microsoft
“This goes back to one of the things that we always talk about for Power Platform, which, it’s a corny thing, but it’s that development is a team sport,” Charles Lamanna, Microsoft’s corporate VP for its Low Code Application Platform, told me. “That’s one of our big focuses: how to bring people to collaborate and work together who normally don’t. This is great because it actually brings together the business users who live the process each and every day with a specialist who can build the robot and do the automation.”
The way this works in the backend is that Power Automate’s tools capture exactly what the users do and click on. All this information is then uploaded to the cloud and — with just five or six recordings — Power Automate’s systems can map how the process works. For more complex workflows, or those that have a lot of branches for different edge cases, you likely want more recordings to build out these processes, though.
Image Credits: Microsoft
As Lamanna noted, building out these workflows and process maps can also help businesses better understand the ROI of these automations. “This kind of map is great to go build an automation on top of it, but it’s also great because it helps you capture the ROI of each automation you do because you’ll know for each step how long it took you,” Lamanna said. “We think that this concept of Process Advisor is probably going to be one of the most important engines of adoption for all these low-code/no-code technologies that are coming out. Basically, it can help guide you to where it’s worth spending the energy, where it’s worth training people, where it’s worth building an app, or using AI, or building a robot with our RPA like Power Automate.”
Lamanna likened this to the advent of digital advertising, which for the first time helped marketers quantify the ROI of advertising.
The new process mining capabilities in Power Automate are now available in preview.
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