Productivity software has been getting a major re-examination this year, and human resources platforms — used for hiring, firing, paying and managing employees — have been no exception. Today, one of the startups that’s built what it believes is the next generation of how HR should and will work is announcing a big fundraise, underscoring its own growth and the focus on the category.

Hibob, the startup behind the HR platform that goes by the name of “bob” (the company name is pronounced, “Hi, Bob!”), has picked up $70 million in funding at a valuation that reliable sources close to the company tell us is around $500 million.

“Our mission is to modernize HR technology,” said Ronni Zehavi, Hibob’s CEO, who co-founded the company with Israel David. “We are a people management platform for how people work today. Whether that’s remotely or physically collaborative, our customers face challenges with work. We believe that the HR platforms of the future will not be clunky systems, annoying, giant platforms. We believe it should be different. We are a system of engagement rather than record.”

The Series B is being led by SEEK and Israel Growth Partners, with participation also from Bessemer Venture Partners, Battery Ventures, Eight Roads Ventures, Arbor Ventures, Presidio Ventures, Entree Capital, Cerca Partners and Perpetual Partners, the same group that also backed Hibob in its last round (a Series A extension) in 2019. It has raised $124 million to date.

The company has its roots in Israel but these days describes its headquarters as London and New York, and the funding comes on the back of strong growth in multiple markets. In an interview, Zehavi said that Hibob specialises in the mid-market customers and says that it has more than 1,000 of them currently on its books across the U.S., Europe and Asia, including Monzo, Revolut, Happy Socks, ironSource, Receipt Bank, Fiverr, Gong and VaynerMedia. In the last year Hibob has had “triple-digit” year-on-year growth (it didn’t specify what those digits are).

Human resources has never been at the more glamorous end of how a company works, and it can sometimes even be looked on with some disdain. However, HR has found itself in a new spotlight in 2020, the year when every company — whether one based around people sitting at desks or in more interactive and active environments — had to change how it worked.

That might have involved sending everyone home to sign in from offices possibly made out of corners of bedrooms or kitchens, or that might have involved a vastly different set of practices in terms of when and where workers showed up and how they interacted with people once they did. But regardless of the implementations, they all involved a team of people who needed to be linked together, still feeling connected and managed; and sometimes hired, furloughed, or let go.

That focus has started to reveal the strains of how some legacy systems worked, with older systems built to consider little more than creating an employee identity number that could then be tracked for payroll and other purposes.

Hibob — Zehavi said they chose the name after the person who owned the bob.com domain wanted too much to sell it, but they liked “bob” for the actual product — takes an approach from the ground up that is in line with how many people work today, balancing different software and apps depending on what they are doing, and linking them up by way of integrations: its own includes Slack, Microsoft Teams and Mercer, and other packages that are popular with HR departments. 

While it covers all of the necessary HR bases like payroll and further compensation, onboarding, managing time off and benefits, it further brings in a variety of other features that help build out bigger profiles of users, such as performance and culture, with the ability for peers, managers and workers themselves to provide feedback to enhance their own engagement with the company, and for the company to have a better idea of how they are fitting into the organization, and what might need more attention in the future.

That then links into a bigger organizational chart and conceptual charts that highlight strong performers, those who are possible flight risks, those who are leaders and so on. While there have been a number of others in the HR world that have built standalone apps that cover some of these features (for example, 15five was early to spot the value of a platform that made it much easier to set goals and provide feedback), what’s notable here is how they are all folded into one system together.

The end effect, as you can see here, looks less like word salad and more interactive, graphic interfaces that are presumably a lot more enjoyable and at least easier to use for HR people themselves.

The importance for investors has been that the product and the startup has identified the opportunity, but has delivered not just more engagement, but a strong piece of software that still provides the essentials.

“This is certainly not a Workday,” said Adam Fisher, a partner at Bessemer, in an interview. “Our overall thesis has been that HR is only growing in importance. And while engagement is super important, that opportunity is not enough to create the market.”

The end result is a platform that has a significant shot at building in even more over time. For example, another large area that has been seeing traction in the world of enterprise and B2B software is employee training. Specifically, enterprise learning systems are creating another way to help keep people not only up to speed on important aspects of how they work, but also engaged at a time when connections are under strain.

“Training, a SuccessFactors-style offering, is definitely in our road map,” said Zehavi, who noted they are adding new features all the time. The latest has been compensation, sometimes known as merit increase cycles. “That is a very complex issue and requires deeper integrations finance and the CFO’s office. We streamlined it and made it easy to use. We launched two months ago and it’s on fire. After learning and development there are other modules also down the road.”

Product managers can only be successful if they can make effective use of both quantitative and qualitative data. But mapping the former to the latter, and collecting high-quality data, is a huge challenge to organizations looking to rapidly productize and innovate.

UserLeap, a company founded by serial product manager Ryan Glasgow, thinks it has found a better way, and so do its investors. The company today announced the close of a $16 million Series A financing led by Accel (Dan Levine led the round), with participation from angels like Elad Gil, Dylan Field, Ben Porterfield, Akshay Kothari, Jack Altman and Bobby Lo.

One of the main challenges of rapid product development is that the ratio of quantitative data to qualitative data isn’t equal. It can take weeks or even months to get results from user surveys, and that’s only if users actually respond. According to UserLeap, the average response rate for email surveys is between 3% and 5%. To add to the headache, PMs and data teams usually have to parse that information and organize it manually.

UserLeap offers product teams the ability to put a short line of code into their product that then delivers contextual micro-surveys to users right within the product. The company says that these micro-surveys usually see a 20% to 30% response rate, and sometimes that even pops all the way to 90%.

Plus, the UserLeap dashboard processes the natural language from respondents and organizes the data. For example, if one user references price and another references cost, those responses are grouped together.

Because the surveys are built right into the product and targeted to a specific action or flow, and because the data is parsed and automatically sorted, product teams usually have access to this data within a few hours.

UserLeap charges based on the number of end users tracked, plus the number of surveys sent out per month, offering tiers for those surveys in groupings of five. Glasgow says this is a bit of a differentiator when compared to other survey products like SurveyMonkey or TypeForm.

“We have a usage-based pricing model, where our competitors often have a seat-based pricing model,” said Glasgow. “We don’t care how many people have access to us. Really, our goal is to get you to use our product.”

In other words, the insights gleaned from UserLeap can be shared and used across the entire organization without affecting the price.

This latest funding brings UserLeap’s total funding to $20 million — First Round Capital previously led a $4 million seed round.

Customers include Square, Opendoor and Codecademy. Thus far, the company has tracked more than 500 million visitors, and gotten 600,000 survey question responses.

The UserLeap team is currently made up of 15 people, with females representing 50% and people of color making up 33% of the leadership team. Across the company, women represent 32% of the team and people of color represent 42%.

“UserLeap cares deeply about diversity and inclusion,” said Glasgow. “Having a diverse team helps to ensure our employees feel comfortable and valued so that they can bring their whole selves to work. For that reason, UserLeap has a part-time recruiting sourcer dedicated to engaging underrepresented candidates and these efforts have contributed towards our diversity goals.”

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 P​age, Kabir Narang), Peak State Ventures (​Bryan Ciambella, Seva Zakharov)​, Stanford StartX Fund, Amino C​apital, ​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.