Britive, an early-stage startup that is trying to bring privileged access control to a multi-cloud world, announced a $10 million Series A this morning. Crosslink Capital led the investment, with participation from previous investors Upfront Ventures and One Way Ventures.

The company helps automate permissioning across multiple cloud vendors and software services, whether that involves a human or a machine seeking permission. In a world of increasing automation, it’s often a machine seeking access, and that makes permissioning all the more critical, says Britive co-founder and CEO Art Poghosyan.

“What we offer is an automated approach to access, [moving from] what we call statically granted access, which constantly gets added all the time […] to completely ‘just in time access’,” he said. That means that after you define a policy, it sets the ground rules for access, and grants it based on that policy for the time required, and nothing more, whether you’re a human or a machine.

In today’s complex development, world that could take many forms, including API keys and secrets. “Yes, sometimes those things are granted to a human actor like a DevOps engineer, but a lot of times it also needs to be granted — quote, unquote — to a Terraform script or to GitHub to go and build out application infrastructure or deploy an application,” he said.

The company currently has 40 employees, a number that Poghosyan expects to double in the next 12 months as he puts this capital to work. As a first-generation Armenian immigrant, Poghosyan says that he takes diversity and inclusion extremely seriously as he hires more employees.

“We’ve always been committed — in this business and our previous startup — to providing equal opportunities to talented people, no matter what background they come from. I’m really proud that even as a small company — we’re 40 at the moment — we have more than 50% of our workforce which comes from ethnic minority groups,” he said.

Britive, which is based in Los Angeles, launched in 2018 and brought its first product to market in 2019. The company raised a $5.4 million seed round last July, which it announced in September, making the total raised so far approximately $15.4 million.

 

The podcasting world remains one of the most vibrant formats in media (and I am not just saying that since the Equity crew won a Webby yesterday for our not-that-humble podcast). Its openness, diversity, freedom and ease-of-authoring has broadened the medium to all sorts of hosts on every subject imaginable.

We experience that dynamism and verve in our own audio listening, but then we start to tune into our company’s internal communications, and, well, you certainly don’t need sleeping pills to zone out. Top-down, formal, banal — corporate comms remains mired in a 1950s way of speaking that is completely out-of-sync with the millennials and Gen Z majority of workers who expect something actually worth watching and listening to.

Spokn wants to make company-wide podcasting a must-listen event, not just for leaders to talk to their employees, but for every worker to have a voice and share their expertise and stories across their workplaces. Through its app, companies can deliver personalized podcast feeds on everything from a daily standup or weekly AMA to training and development content, all of which is secure and kept for internal use.

It’s an idea that has quickly attracted investor attention. The startup, which was part of Y Combinator’s most recent Winter 2021 batch, closed on a $4 million seed round two weeks before Demo Day led by Ann Bordetsky, a partner at NEA who joined earlier this year and previously served as COO of Rival. This is her first investment with the firm.

The company was founded by Fawzy Abu Seif, Mariel Davis and Mohammad Galal Eldeen. Abu Seif and Davis met each other in an Egyptian jazz club in November 2017, about a week after he had quit his job. They eventually came together not just as a couple — they got married in the fall of 2019 — but as business partners, linking up with Galal Eldeen and incorporating Spokn in April 2018.

Spokn’s product evolved across three iterations. First, the team tried to create audio narrations of evergreen content at major publishers like The New York Times. The idea was to help publishers reuse their best content as a new revenue source while connecting more listeners into these brands. Getting publishers to commit was tough though. “The consumer app wasn’t doing that great, and we started hunting around the data to see if something was working,” Davis said.

What they found was that professional development podcasts were much more popular compared to other topics, and so they had an opportunity to re-jigger the product to focus on training and specifically target enterprises. The idea was “let’s empower companies with the same tools we had as a consumer company,” Abu Seif said.

Prior to Spokn, Davis had worked with an entrepreneur in the Middle East building out a social enterprise network focused on skills training, a role in which she handled internal communications. She saw just how little impact media like email made for employees, particularly in the distributed workforce she was attempting to engage. The new direction for Spokn was far more enticing.

The newly married couple moved to New York City from Egypt and signed an apartment lease in early March 2020 — just as the COVID-19 pandemic spread widely in the region. We “multiplied the living expenses by 8-10x while doing the same Zoom calls we could make from there,” Abu Seif joked.

Eventually, the company realized that it could do much more than just training, and expanded into broader internal comms. “Async audio is a lot more personal than email,” Abu Seif said. This latest product iteration launched in November 2020, and included push notifications, an app for streaming, personalization features and analytics to allow companies to track what was working and what was not for employees.

Perhaps most importantly, companies can tailor the access lists for individual podcasts to particular groups of people, such as senior execs, people managers, sales employees or any other logical grouping. We “get a lot of inbound from companies that are trying to duct-tape solutions together,” Davis said. For Abu Seif, “all the tools that marketers have to engage consumers, we are empowering companies to engage with their employees.”

Despite the startup and product’s youth, it has attracted a quick following among companies, with customers including Podium, ShipBob, Cedar, Mixpanel, ServiceNow and Superhuman. Podium’s CEO, for example, records weekly podcasts that are shipping on Spokn, and apparently even installed a podcast studio near his office just to make it easier to produce his shows.

Podcasting inside companies fixes a lot of problems with traditional internal comms. First and foremost, it can create a deeper connection where email cannot. Audio can feel more personal than even video, and also can be played in the background. It’s also asynchronous, unlike live video, allowing employees in different time zones to connect with key stories at an appropriate time.

Plus, employees can avoid all the fatigue that comes from being onscreen. “No one wants Zoom zombies,” Bordetsky of NEA said. “We need intuitive and asynchronous communication tools like Spokn to build connection and community in the workplace.” Her thesis for the investment is that “flexible, distributed work is here to stay and employee communication is at the heart of building a modern, virtual-first employee experience.”

Buyers of Spokn range from heads of people to sales teams, and the company is also focused on recruiting and retention as well. “Companies are pretty freaked out about retaining their great talent,” Davis said. Some companies are now sharing “stories with prospects even before their first day at the company.”

While the product is mostly used by leaders today, Spokn wants to expand that remit to employees talking with their peer colleagues, helping to build community in hybrid offices where it is harder than ever to make a connection with others.

Of course, companies can screw up podcasting just as much as they have screwed up every other medium to communicate like humans, and Davis says it’s become her full-time job to help them think through storytelling and how to connect better with their own employees. We “work to find the right storytellers in the company,” she said.

Outside NEA, other investors in the seed round included Reach Capital, Funders Club, Liquid2, Share Capital, SOMA Capital, Scribble VC and Hack VC.

Netlify, the startup that’s bringing a micro services approach to building websites, announced today that it has acquired YC alum FeaturePeek. The two companies did not share the purchase price.

With FeaturePeek, the company gets a major upgrade in its design review capability. While Netlify has had a previewing capability called Deploy Previews in the platform since 2016, it lacked a good way for reviewers to discuss and comment on the design. The preview alone was useful as far as it goes, but having the ability to collaborate on the design remained a missing piece until today.

With FeaturePeek, the company can expand on Deploy Previews to not only preview the design, but also enable all the stakeholders in the design process to add their opinions, edits and changes as the design moves through the creation process instead of having to wait until the end or gather the comments in a separate document or communications channel.

As FeaturePeek co-founder Eric Silverman told me at the time of their seed funding last year, his product removed a lot of frustration when the web coders would get all their review comments at the last minute:

“Right now, there’s no dedicated place to give feedback on that new work until it hits their staging environment, and so we’ll spin up ad hoc deployment previews, either on commit or on pull requests and those fully running environments can be shared with the team. On top of that, we have our overlay where you can file bugs, you can annotate screenshots, record video or leave comments.”

Matt Biilmann, CEO and co-founder, Netlify says that when his company created Deploy Previews, it was in reaction to customers who were kloodging together their own solutions to the issue. They learned that even with their own preview feature, customers craved a communications capability.

In the classic build versus buy debate, the company began building its own, then it met the FeaturePeek team and decided to switch course. “We had a team working on a prototype when the founders of FeaturePeek, Eric and Jason, gave us a demo of their product. As the demo progressed, our jaws got increasingly closer to hitting the floor and we knew straight away that what we had just seen was miles away from both our internal prototypes and any of the other tools we had seen in the space,” Billmann told TechCrunch.

He added, “It also quickly became apparent that fully building towards this vision as two different companies, without a deep end-to-end experience from initial Pull Request to a new feature release, would never really allow us to build what we were dreaming of, so we decided to join forces.”

The companies’ combined effort actually comes together today in a new release of Deploy Previews that includes the new FeaturePeek collaboration/commenting capabilities.

FeaturePeek was founded in 2019, went through Y Combinator Summer 2019 batch, and raised around $2 million. Netlify was founded in 2014 and has raised over $97 million, according to Crunchbase. Its last raise was a $53 million Series C in March 2020.

Automation is extending into every aspect of how organizations get work done, and today comes news of a startup that is building tools for one industry in particular: life sciences. Artificial, which has built a software platform for laboratories to assist with, or in some cases fully automate, research and development work, has raised $21.5 million.

It plans to use the funding to continue building out its software and its capabilities, to hire more people, and for business development, according to Artificial’s CEO and co-founder David Fuller. The company already has a number of customers including Thermo Fisher and Beam Therapeutics using its software directly and in partnership for their own customers. Sold as aLab Suite, Artificial’s technology can both orchestrate and manage robotic machines that labs might be using to handle some work; and help assist scientists when they are carrying out the work themselves.

“The basic premise of what we’re trying to do is accelerate the rate of discovery in labs,” Fuller said in an interview. He believes the process of bringing in more AI into labs to improve how they work is long overdue. “We need to have a digital revolution to change the way that labs have been operating for the last 20 years.”

The Series A is being led by Microsoft’s venture fund M12 — a financial and strategic investor — with Playground Global and AME Cloud Ventures also participating. Playground Global, the VC firm co-founded by ex-Google exec and Android co-creator Andy Rubin (who is no longer with the firm), has been focusing on robotics and life sciences and it led Artificial’s first and only other round. Artificial is not disclosing its valuation with this round.

Fuller hails from a background in robotics, specifically industrial robots and automation. Before founding Artificial in 2019, he was at Kuka, the German robotics maker, for a number of years, culminating in the role of CTO; prior to that, Fuller spent 20 years at National Instruments, the instrumentation, test equipment and industrial software giant. Meanwhile, Artificial’s co-founder, Nikhita Singh, has insight into how to bring the advances of robotics into environments that are quite analogue in culture. She previously worked on human-robot interaction research at the MIT Media Lab, and before that spent years at Palantir and working on robotics at Berkeley.

As Fuller describes it, he saw an interesting gap (and opportunity) in the market to apply automation, which he had seen help advance work in industrial settings, to the world of life sciences, both to help scientists track what they are doing better, and help them carry out some of the more repetitive work that they have to do day in, day out.

This gap is perhaps more in the spotlight today than ever before, given the fact that we are in the middle of a global health pandemic. This has hindered a lot of labs from being able to operate full in-person teams, and increased the reliance on systems that can crunch numbers and carry out work without as many people present. And, of course, the need for that work (whether it’s related directly to Covid-19 or not) has perhaps never appeared as urgent as it does right now.

There have been a lot of advances in robotics — specifically around hardware like robotic arms — to manage some of the precision needed to carry out some work, but up to now no real efforts made at building platforms to bring all of the work done by that hardware together (or in the words of automation specialists, “orchestrate” that work and data); nor link up the data from those robot-led efforts, with the work that human scientists still carry out. Artificial estimates that some $10 billion is spent annually on lab informatics and automation software, yet data models to unify that work, and platforms to reach across it all, remain absent. That has, in effect, served as a barrier to labs modernising as much as they could.

A lab, as he describes it, is essentially composed of high-end instrumentation for analytics, alongside then robotic systems for liquid handling. “You can really think of a lab, frankly, as a kitchen,” he said, “and the primary operation in that lab is mixing liquids.”

But it is also not unlike a factory, too. As those liquids are mixed, a robotic system typically moves around pipettes, liquids, in and out of plates and mixes. “There’s a key aspect of material flow through the lab, and the material flow part of it is much more like classic robotics,” he said. In other words, there is, as he says, “a combination of bespoke scientific equipment that includes automation, and then classic material flow, which is much more standard robotics,” and is what makes the lab ripe as an applied environment for automation software.

To note: the idea is not to remove humans altogether, but to provide assistance so that they can do their jobs better. He points out that even the automotive industry, which has been automated for 50 years, still has about 6% of all work done by humans. If that is a watermark, it sounds like there is a lot of movement left in labs: Fuller estimates that some 60% of all work in the lab is done by humans. And part of the reason for that is simply because it’s just too complex to replace scientists — who he described as “artists” — altogether (for now at least).

“Our solution augments the human activity and automates the standard activity,” he said. “We view that as a central thesis that differentiates us from classic automation.”

There have been a number of other startups emerging that are applying some of the learnings of artificial intelligence and big data analytics for enterprises to the world of science. They include the likes of Turing, which is applying this to helping automate lab work for CPG companies; and Paige, which is focusing on AI to help better understand cancer and other pathology.

The Microsoft connection is one that could well play out in how Artificial’s platform develops going forward, not just in how data is perhaps handled in the cloud, but also on the ground, specifically with augmented reality.

“We see massive technical synergy,” Fuller said. “When you are in a lab you already have to wear glasses… and we think this has the earmarks of a long-term use case.”

Fuller mentioned that one area it’s looking at would involve equipping scientists and other technicians with Microsoft’s HoloLens to help direct them around the labs, and to make sure people are carrying out work consistently by comparing what is happening in the physical world to a “digital twin” of a lab containing data about supplies, where they are located, and what needs to happen next.

It’s this and all of the other areas that have yet to be brought into our very AI-led enterprise future that interested Microsoft.

“Biology labs today are light- to semi-automated—the same state they were in when I started my academic research and biopharmaceutical career over 20 years ago. Most labs operate more like test kitchens rather than factories,” said Dr. Kouki Harasaki, an investor at M12, in a statement. “Artificial’s aLab Suite is especially exciting to us because it is uniquely positioned to automate the masses: it’s accessible, low code, easy to use, highly configurable, and interoperable with common lab hardware and software. Most importantly, it enables Biopharma and SynBio labs to achieve the crowning glory of workflow automation: flexibility at scale.”

Harasaki is joining Peter Barratt, a founder and general partner at Playground Global, on Artificial’s board with this round.

“It’s become even more clear as we continue to battle the pandemic that we need to take a scalable, reproducible approach to running our labs, rather than the artisanal, error-prone methods we employ today,” Barrett said in a statement. “The aLab Suite that Artificial has pioneered will allow us to accelerate the breakthrough treatments of tomorrow and ensure our best and brightest scientists are working on challenging problems, not manual labor.”