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Lightyear is a new stock trading app from early Wise employees

Meet Lightyear, a new London-based startup coming out of stealth today. The company is building a stock trading app with a focus on creating a truly commission-free app. In addition to waving account fees and trading fees, Lightyear doesn’t charge foreign exchange fees either — up to a certain point.

The two founders met when they were working at Wise — then known as TransferWise. That’s why it makes sense that Lightyear wants to stand out from the crowd with lower foreign exchange fees.

Martin Sokk, co-founder and CEO of Lightyear, worked at Wise between 2012 and 2017. He held various roles, such as head of product, head of people and head of operations. Mihkel Aamer, Lightyear’s other co-founder and CTO, was an engineering lead at Wise between 2013 and 2019.

“Having spent my career in financial services, I’ve seen the good, the bad and the ugly. I believe retail investing in Europe is still very much ‘the ugly’ — we’re talking about sneaky fees, less access and complicated products remaining as the status quo,” Aamer said in a statement. “We’re building something that will change that by opening up investing to everyone, whichever global market they want to invest in and however much they want to invest.”

As a user, you can expect a mobile app that lets you buy and sell shares and ETFs. There will be 1,500 stocks and ETFs from multiple markets at launch. Customers won’t pay any account fees, trading fees and foreign exchange fees. But there will be a limit on foreign exchange fees. After £3,000 per month, users will pay 0.35% in FX fees.

The app isn’t quite ready just yet, as Lightyear is opening up a waitlist today. The product should roll out at some point during the third quarter of this year.

Image Credits: Lightyear

Lightyear has raised a $1.5 million pre-seed funding round co-led by the new unnamed fund formed by Wise co-founder Taavet Hinrikus and Teleport co-founder Sten Tamkivi. This is their first investment through this new venture. Skype co-founder Jaan Tallinn is also co-leading the fund through Metaplanet. There are also several business angels participating in today’s funding round, including Checkout.com CTO Ott Kaukver, former president of Robinhood U.K. Wander Rutgers and Veriff founder Kaarel Kotkas.

It’s a nice list of investors, but the company will face tough competition from other startups — you’ll likely end up paying more fees if you use one of these competitors, but they’re already well established. For instance, Berlin-based stock trading app Trade Republic has recently raised $900 million. In the U.K., Freetrade has also managed to attract 600,000 users.

And yet, more importantly, Lightyear also competes with legacy brokers. Unlike in the U.S., the vast majority of retail investors still rely on traditional banks and web platforms for stock trading. There will be room for more than one company in this space. So let’s see how Lightyear executes in the coming months.

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How to win consulting, board and deal roles with PE and VC funds

Would you like to work with private equity and venture capital funds?

There are relatively few jobs directly inside private equity and venture capital funds, and those jobs are highly competitive. However, there are many other ways you can work and earn money within the industry — as a consultant, an interim executive, a board member, a deal executive partnering to buy a company, an executive in residence or as an entrepreneur in residence.

Venture capitalists often have an operations background. However, historically most private equity professionals were former investment bankers and other finance professionals. Then private equity players gradually realized that value cannot be created through financial engineering alone. A BCG study of 121 investments found that operational improvement drives 48% of value creation in PE-backed companies. PE funds now almost always require an upgrade in management and change management teams if necessary.

Not surprisingly, the tighter your relationship with the firm, the more money you will earn:

PE fund structural options in working with operating executives

 Image Credits: David Teten

At Versatile VC, we’ve used all these models. We are soon launching Founders’ Next Move, a selective, free community for founders researching their next move, which will be a key tool for working with outside talent.

The simplest path forward is to identify funds in your industry of expertise and reach out. You can explore all of the models below with them. First, start by identifying the firms that invest in companies that you’ve worked with. Then, more broadly, look for investors in the industries in which you have expertise. You can identify institutional investors through one of multiple online databases:

All investors Private equity Venture capital
Preqin (free demo)

Grey House (free demo)

S&P Global Market Intelligence

Pratt’s Guide

Thomson One

PitchBook (free trial)

PrivateEquityFirms.com
(free trial)

Eurekahedge

AngelList (free)

CrunchBase (free)

PWC MoneyTree (free)

VentureDeal (free trial)

Asian Venture Capital Journal (free trial)

Let’s take a look at the different ways you can work with the investment community.

Expert networks

Expert network firms source subject matter experts from various domains and pair them with clients seeking topical or industry insights. They typically charge clients up to $1,200 per hour, and pay the expert $100 to $500 an hour. I founded Circle of Experts, an expert network that I sold to Evalueserve.

The expert network industry has grown an average 4.5% annually between 2015 and 2020, its market size topping $1.3 billion in 2020. While the major clients were initially hedge funds and private equity firms, consulting firms now comprise 32% of total demand for expert network services.

Inex One, an expert network marketplace, has compiled a list of 80 expert networks, summarized in the graphic below:

80 expert networks

Image Credits: Inex One and Integrity Research

The largest expert networks include: GLG, which accounts for approximately 50% of the industry’s revenue; AlphaSights is the second biggest generalist expert network; Guidepoint services six major categories of clients globally across several industries; and Third Bridge hires and retains talent to “democratize the world’s human insights and upend the traditional research model.”

Other notable expert networks include Atheneum Partners, Coleman Research Group, Dialectica, ENG, Lynk Global, Mosaic, PreScouter, ProSapient and Tegus. There are also expert networks with sector or geography specialization. For example, SERMO is a global social media network for physicians to exchange knowledge and share challenging patient cases, and Clarity.fm connects startups to experts in building new businesses.

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OroraTech’s space-based early wildfire warnings spark $7M investment

With wildfires becoming an ever more devastating annual phenomenon, it is in the whole planet’s interest to spot them and respond as early as possible — and the best vantage point for that is space. OroraTech is a German startup building a constellation of small satellites to power a global wildfire warning system, and will be using a freshly raised €5.8 million (~$7 million) A round to kick things off.

Wildfires destroy tens of millions of acres of forest every year, causing immense harm to people and the planet in countless ways. Once they’ve grown to a certain size, they’re near impossible to stop, so the earlier they can be located and worked against, the better.

But these fires can start just about anywhere in a dried out forest hundreds of miles wide, and literally every minute and hour counts — watch towers, helicopter flights and other frequently used methods may not be fast or exact enough to effectively counteract this increasingly serious threat. Not to mention they’re expensive and often dangerous jobs for those who perform them.

OroraTech’s plan is to use a constellation of about 100 satellites equipped with custom infrared cameras to watch the entire globe (or at least the parts most likely to burst into flame) at once, reporting any fire bigger than 10 meters across within half an hour.

Screenshot of OroraTech wildfire monitoring software showing heat detection in a forest.

Image Credits: OroraTech

To start out with, the Bavarian company has used data from over a dozen satellites already in space, in order to prove out the service on the ground. But with this funding round they are set to put their own bird in the air, a shoebox-sized satellite with a custom infrared sensor that will be launched by Spire later this year. Onboard machine learning processing of this imagery simplifies the downstream process.

Fourteen more satellites are planned for launch by 2023, presumably once they’ve kicked the proverbial tires on the first one and come up with the inevitable improvements.

“In order to cover even more regions in the future and to be able to give warning earlier, we aim to launch our own specialized satellite constellation into orbit,” said CEO and co-founder Thomas Grübler in a press release. “We are therefore delighted to have renowned investors on board to support us with capital and technological know-how in implementing our plans.”

Mockup of an OroraTech Earth imaging satellite in space.

Image Credits: OroraTech

Those renowned investors consist of Findus Venture and Ananda Impact Ventures, which led the round, followed by APEX Ventures, BayernKapital, Clemens Kaiser, SpaceTec Capital and Ingo Baumann. The company was spun out of research done by the founders at TUM, which maintains an interest.

“It is absolutely remarkable what they have built up and achieved so far despite limited financial resources and we feel very proud that we are allowed to be part of this inspiring and ambitious NewSpace project,” APEX’s Wolfgang Neubert said, and indeed it’s impressive to have a leading space-based data service with little cash (it raised an undisclosed seed about a year ago) and no satellites.

It’s not the only company doing infrared imagery of the Earth’s surface; SatelliteVu recently raised money to launch its own, much smaller constellation, though it’s focused on monitoring cities and other high-interest areas, not the vast expanse of forests. And ConstellR is aimed (literally) at the farming world, monitoring fields for precision crop management.

With money in its pocket Orora can expand and start providing its improved detection services, though sadly, it likely won’t be upgrading before wildfire season hits the northern hemisphere this year.

 

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Confluent’s IPO brings a high-growth, high-burn SaaS model to the public markets

Confluent became the latest company to announce its intent to take the IPO route, officially filing its S-1 paperwork with the U.S. Securities and Exchange Commission this week. The company, which has raised over $455 million since it launched in 2014, was most recently valued at just over $4.5 billion when it raised $250 million last April.

What we can see in Confluent is nearly an old-school, high-burn SaaS business. It has taken on oodles of capital and used it in an increasingly expensive sales model.

What does Confluent do? It built a streaming data platform on top of the open-source Apache Kafka project. In addition to its open-source roots, Confluent has a free tier of its commercial cloud offering to complement its paid products, helping generate top-of-funnel inflows that it converts to sales.

Kafka itself emerged from a LinkedIn internal project in 2011. As we wrote at the time of Confluent’s $50 million Series C in 2017, the open-source project was designed to move massive amounts of data at the professional social network:

At its core, Kafka is simply a messaging system, created originally at LinkedIn, that’s been designed from the ground up to move massive amounts of data smoothly around the enterprise from application to application, system to system or on-prem to cloud — and deal with extremely high message volume.

Confluent CEO and co-founder Jay Kreps wrote at the time of the funding that events streaming is at the core of every business, reaching sales and other core business activities that occur in real time that go beyond storing data in a database after the fact.

“[D]atabases have long helped to store the current state of the world, but we think this is only half of the story. What is missing are the continually flowing stream of events that represents everything happening in a company, and that can act as the lifeblood of its operation,” he wrote.

That’s where Confluent comes in.

But enough about the technology. Is Confluent’s work with Kafka a good business? Let’s find out.

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Iterative raises $20M for its MLOps platform

Iterative, an open-source startup that is building an enterprise AI platform to help companies operationalize their models, today announced that it has raised a $20 million Series A round led by 468 Capital and Mesosphere co-founder Florian Leibert. Previous investors True Ventures and Afore Capital also participated in this round, which brings the company’s total funding to $25 million.

The core idea behind Iterative is to provide data scientists and data engineers with a platform that closely resembles a modern GitOps-driven development stack.

After spending time in academia, Iterative co-founder and CEO Dmitry Petrov joined Microsoft as a data scientist on the Bing team in 2013. He noted that the industry has changed quite a bit since then. While early on, the questions were about how to build machine learning models, today the problem is how to build predictable processes around machine learning, especially in large organizations with sizable teams. “How can we make the team productive, not the person? This is a new challenge for the entire industry,” he said.

Big companies (like Microsoft) were able to build their own proprietary tooling and processes to build their AI operations, Petrov noted, but that’s not an option for smaller companies.

Currently, Iterative’s stack consists of a couple of different components that sit on top of tools like GitLab and GitHub. These include DVC for running experiments and data and model versioning, CML, the company’s CI/CD platform for machine learning, and the company’s newest product, Studio, its SaaS platform for enabling collaboration between teams. Instead of reinventing the wheel, Iterative essentially provides data scientists who already use GitHub or GitLab to collaborate on their source code with a tool like DVC Studio that extends this to help them collaborate on data and metrics, too.

Image Credits: Iterative

“DVC Studio enables machine learning developers to run hundreds of experiments with full transparency, giving other developers in the organization the ability to collaborate fully in the process,” said Petrov. “The funding today will help us bring more innovative products and services into our ecosystem.”

Petrov stressed that he wants to build an ecosystem of tools, not a monolithic platform. When the company closed this current funding round about three months ago, Iterative had about 30 employees, many of whom were previously active in the open-source community around its projects. Today, that number is already closer to 60.

“Data, ML and AI are becoming an essential part of the industry and IT infrastructure,” said Leibert, general partner at 468 Capital. “Companies with great open-source adoption and bottom-up market strategy, like Iterative, are going to define the standards for AI tools and processes around building ML models.”

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Stemma launches with $4.8M seed to build managed data catalogue

As companies increasingly rely on data to run their businesses, having accurate sources of data becomes paramount. Stemma, a new early-stage startup, has come up with a solution, a managed data catalogue that acts as an organization’s source of truth.

Today the company announced a $4.8 million seed investment led by Sequoia with assorted individual tech luminaries also participating. The product is also available for the first time today.

Company co-founder and CEO Mark Grover says the product is actually built on top of the open-source Amundsen data catalogue project that he helped launch at Lyft to manage its massive data requirements. The problem was that with so much data, employees had to kludge together systems to confirm the data validity. Ultimately manual processes like asking someone in Slack or even creating a Wiki failed under the weight of trying to keep up with the volume and velocity.

“I saw this problem firsthand at Lyft, which led me to create the open-source Amundsen project with a team of talented engineers,” Grover said. That project has 750 users at Lyft using it every week. Since it was open-sourced, 35 companies like Brex, Snap and Asana have been using it.

What Stemma offers is a managed version of Amundsen that adds functionality like using intelligence to show data that’s meaningful to the person who is searching in the catalogue. It also can add metadata automatically to data as it’s added to the catalogue, creating documentation about the data on the fly, among other features.

The company launched last fall when Grover and co-founder and CTO Dorian Johnson decided to join forces and create a commercial product on top of Amundsen. Grover points out that Lyft was supportive of the move.

Today the company has five employees, in addition to the founders, and has plans to add several more this year. As he does that, he is cognizant of diversity and inclusion in the hiring process. “I think it’s super important that we continue to invest in diversity, and the two ways that I think are the most meaningful for us right now is to have early employees that are from diverse groups, and that is the case within the first five,” he said. Beyond that, he says that as the company grows he wants to improve the ratio, while also looking at diversity in investors, board members and executives.

The company, which launched during COVID, is entirely remote right now and plans to remain that way for at least the short term. As the company grows, they will look at ways to build camaraderie, like organizing a regular cadence of employee offsite events.

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Celonis snares $1B Series D on $11B valuation

Celonis, the late-stage process mining software startup, announced a $1 billion Series D investment this morning on an eye-popping $11 billion valuation, up from $2.5 billion in its Series C in 2019, quadrupling its value in just two years.

Durable Capital Partners LP and T. Rowe Price Associates co-led the round, with participation from new investors Franklin Templeton, Splunk Ventures and existing investors Arena Holdings. Other unnamed existing investors also participated.

While it was at it, the company announced it was naming experienced financial pro Carlos Kirjner as CFO. Kirjner’s most recent job was at Google, where he led finance for ads and other key product areas, according to the company.

The presence of institutional investors like T. Rowe Price and Franklin Templeton and the huge influx of capital could be a signal that this is the last private fundraise for the company before it goes public, and Celonis CEO and co-founder Alexander Rinke did not shy away from IPO talk when asked about it.

“It could be, yeah. It’s kind of tough to predict the future, but look, we’re very bullish about the growth and our prospects both as a private — and down the road — a public company, and obviously we now have backers that can invest capital in both [public and private markets],” Rinke told TechCrunch.

Rinke says what’s driving this interest is the tremendous potential of the market even beyond process mining, which he sees as just a starting point for a much larger market. “Process mining where we originated from is really just the gateway to build new processes and better processes for organizations, and as you think about that that’s a much much bigger market that we’re addressing,” he said.

The company’s processing mining software sits at the beginning of the process automation food chain, which includes robotic process automation, no-code workflow and other tools to bring more automated workflows to companies. It’s quite possible that the company could develop other pieces of this or use the new capital to buy talent and functionality, something that Rinke acknowledges is possible now with this much capital behind the company.

Celonis started by mapping out exactly how work flows through an organization, something that used to take high-priced human consultants months to figure out sitting with employees and watching how work flows. Once a company knows how work moves through an organization, it’s easier to find inefficiencies and places that are ripe for using automation tools. Speeding up that first part of the operation with technology can bring down the cost and accelerate innovation and change.

The company made a huge deal with IBM recently where IBM plans on training 10,000 consultants worldwide to use Celonis tooling. That brings the power of a company the size of IBM to one that is still relatively small in comparison — Rinke thinks they’ll reach 2,000 employees by year end — and that could be at least part of the reason investors were willing to pump so much capital into the company.

The company, which recently turned 10, currently has 1,000 enterprise customers, including Uber, Dell, Splunk (which is also an investor), L’Oréal and AstraZeneca.

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DealHub raises $20M Series B for its sales platform

DealHub.io, an Austin-based platform that helps businesses manage the entire process of their sales engagements, today announced that it has raised a $20 million Series B funding round. The round was led by Israel Growth Partners, with participation from existing investor Cornerstone Venture Partners. This brings DealHub’s total funding to $24.5 million.

The company describes itself as a ‘revenue amplification’ platform (or ‘RevAmp,’ as DealHub likes to call it) that represents the next generation of existing sales and revenue operations tools. It’s meant to give businesses a more complete view of buyers and their intent, and streamline the sales processes from proposal to pricing quotes, subscription management and (electronic) signatures.

“Yesterday’s siloed sales tools no longer cut it in the new Work from Anywhere era,” said Eyal Elbahary, CEO & Co-founder of DealHub.io. “Sales has undergone the largest disruption it has ever seen. Not only have sales teams needed to adapt to more sophisticated and informed buyers, but remote selling and digital transformation have compelled them to evolve the traditional sales process into a unique human-to-human interaction.”

The platform integrates with virtually all of the standard CRM tools, including Salesforce, Microsoft Dynamics and Freshworks, as well as e-signature platforms like DocuSign.

The company didn’t share any revenue data, but it notes that the new funding round follows “continued multi-year hyper-growth.” In part, the company argues, demand for its platform has been driven by sales teams that need new tools, given that they — for the most part — can’t travel to meet their (potential) customers face-to-face.

“Revenue leaders need the agility to keep pace with today’s fast and ever-changing business environment. They cannot afford to be restrained by rigid and costly to implement tools to manage their sales processes,” said Uri Erde, General Partner at Israel Growth Partners. “RevAmp provides a simple to operate, intuitive, no-code solution that makes it possible for sales organizations to continuously adapt to the modern sales ecosystem. Furthermore, it provides sales leaders the visibility and insights they need to manage and consistently accelerate revenue growth. We’re excited to back the innovation DealHub is bringing to the world of revenue operations and help fuel its growth.”

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Ditto raises $1.5 million to help teams collaborate on copy

Even as remote software uptake has boomed during the pandemic, certain workflows have gotten prioritized for specialized toolsets while other team members have been left piecemealing their productivity. Employees designing the copy that directs users and encapsulates company messaging have been particularly forgotten at times, say the founders of Ditto, a young startup building software focused on finding a “single source of truth” for copy.

The startup was in Y Combinator’s winter 2020 batch (we selected it as one of our favorites from the class); now Ditto’s founders tell TechCrunch the team has raised a $1.5 million seed round from investors including Greycroft, Y Combinator, Soma Capital, Decent Capital, Twenty Two VC, Holly Liu and Scott Tong, among others.

While copy workflows are often very messy when it comes to design and implementation, even the most-organized teams are often left scouring through meandering email threads, screenshot dumps and slack DMs with disparate teams. The founders behind Ditto hope that their software can give copy teams the home they deserve to keep everything organized and synced across projects and applications, ensuring that language is actually finalized and ready to ship when the time comes.

The company’s founders Jessica Ouyang and Jolena Ma were Stanford roommates who saw a lingering opportunity to build a toolset that prioritized copy as its own vertical.

“It’s so easy to couple text with where it lives, like you may think of it as part of the design so a lot of writers have to manage it inside toolsets for design or you may already think of it as part of development so writers end up having to go into the codebase and figure out how to code or manage JSON even though they’re content designers,” Ouyang tells TechCrunch.

Out of the gate, Ditto has been built for Figma, meaning users can easily export text blocks from designs in the app and rework them inside the Ditto web app, pushing updates without having to dig through the designs themselves. The founders say they are currently working on building out integrations for Sketch and Adobe XD as well. Inside the Ditto web app users can access change logs and update the status of particular pieces of text inside a project so that approvals are always certain.

“We find there’s a lot more opportunity to integrate into all of the places where copy is being worked on,” Ma tells us. “We have a lot more we’re hoping to do with our developer integrations and just integrating to all of those places where copy lives, places like A/B testing, internationalization, localization and other workflows.”

Copy development has plenty of stakeholders and the team is looking to experiment with pricing tiers that address that. For now they split up users into editors and commenters paying $15 and $10 monthly (priced annually), respectively, on the startup’s Teams plan. Ditto has a free tier for teams of two, as well as pricing designed for larger enterprise clients.

 

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Unit tests an easier way for workers to organize

Work looks wildly different today than it did a year ago. In tech, every bit of the workplace has been tweaked to fit our new remote world. From scaling accountability and onboarding remotely to figuring out what old perks can be made socially distant — myriad decisions have been made at the hands of the employers.

An early-stage startup thinks it’s time to give some of that decision-making power back to employees, too. So Unit, a New York-based company, is tackling perhaps the most elusive and controversial topic in mainstream tech today: labor unions.

Numerous studies show that union members earn significantly higher wages and get better benefits than non-union workers. At the same time, many companies are anti-union because it impacts the bottom line, or puts more autonomy into their workers’ hands and limits control.

Unit wants to make it easier for employees to virtually organize, and manage, labor unions to protect them from their employers. Unit itself is not a labor union, but instead helps worker-organizers set up, affiliate and manage a union with a mix of software and human resources.

Janitorial entrepreneurship

Unit founder and CEO James White watched Occupy Wall Street unfold in real time while he was a graduate student. He helped out a cohort of janitorial workers from MIT and Harvard that were organizing with the SEIU, or Service Employees International Union, a union of about 2 million people across the services industry.

“By day I would be working in the bio-instrumentation lab at MIT on medical injection devices, and by nights and weekends we were organizing students to support these janitors in their bid for better pay and working conditions,” he said. “[Volunteer organizing] felt very manual and inefficient, but they won some things. It took a couple of years, but they won.”

White spent most of the next decade picking the day job, and worked on a company in the medical device space. But after getting business and sales chops, he left to start his own business. He kept thinking about labor unions.

“Tech-enabled organizing kept coming back to the forefront [of my ideas], and being both the most exciting to me personally, but also I think the most impactful in the ways I wanted to see the world change in terms of income inequality and individual empowerment,” he said.

A turnkey solution for unions

Unit offers a suite of services to fix the process of unionizing, which starts with education. The startup has a step-by-step process of how to virtually unionize a workplace that it offers for free public use on its website.

After a worker-organizer decides that they want to unionize, Unit helps them begin the process. Employees can come to the website, run through an eligibility survey, and begin to start inviting fellow co-workers to the organizing platform. Interested employees will fill out paperwork and a small cohort will begin to form within an organization.

In the background, Unit begins handling the legal automation process needed before a team approaches a national union, such as the national Labor Relations Board, or local union with their pitch. The startup works with a Boston law firm that files the petitions on behalf of employees.

“So far, the biggest feedback we’ve gotten from our organizing application is that ‘I chose you guys over calling a labor organizer at a national union or over contacting volunteers to come and help us because it seemed like the fastest way to get started’,” White said.

After (and if) a union is approved, Unit takes on the role of a labor advisory service. The startup uses a combination of digital and human services to create a “turnkey solution” for union management.

The startup will help conduct voting and polling, provide consensus tools and oversee the charter draft and review process, otherwise known as the governance of a union, on behalf of workers. It will also help with negotiation, such as bargaining surveys, contract drafting and review, compensation and strategic analysis. Beyond that, Unit focuses on ongoing organizing such as new member education and strike planning, as well as contract maintenance. Another company in the space, UnionWare, helps with membership management, while Unit is aiming for the full suite.

“We plan to try to take the time commitment down by quite a bit by automating a bunch of it,” he said. “So that people can vote over software, they can get updates over software, nominate new officers or run for office within these small unions over software.” A Shopify for union organizers, of sorts.

Similar to how an employee only pays fees once a union is approved, Unit only charges a fee after the formation process is complete. The typical cost of national union dues is 1.5% of wages, the company said, meaning that an employee who makes $40,000 a year would pay about $50 a month. Unit charges 0.8% of those monthly earnings.

The “no strings attached” business model means that Unit could lose 90% of their customers once the union is approved, White said. The startup is in the process of forging partnerships with large national unions so that it gets paid whenever a Unit-approved union that comes through one of its networks gets affiliated — with the pitch that it saves unions time and resources through its software.

Customers include software developers, digital media companies, fast food franchises and mental health companies, with a specific focus on helping smaller companies unionize.

‘It’s not a technical problem we have to solve’

Arianna Jimenez, who was a labor organizer for 20 years at SEIU, expressed caution around oversimplifying the unionizing process, which she thinks could give a false sense of hope to workers. In her experience, the negotiation process is the most contentious part of unionizing, taking anywhere from six months to 10 years.

“Once you have signed the cards and you are technically a union in the eyes of the law, that doesn’t in and of itself bring a change in the material conditions of the workers’ lives,” she said. “What brings the change is that the workers are engaging in a legal process that is protected by law with the employer officially to change the contract — such as increased benefits, healthcare and pension.”

While Unit and labor organizers across the country help with the negotiation process, employer-led oppression and fear tactics can often force employees to worry about their livelihoods, and thus vote against forming a union. For example, earlier this year Amazon conducted an anti-union campaign to pressure employees to vote against organizing efforts. The corporation defeated the union attempts, a setback for the biggest unionization push in Amazon’s 27-year history.

Jimenez doesn’t think that unionizing could ever have a fully turnkey solution because “the transformation fundamentally for workers between having a union and not having a union is not a legal threshold. It is really a more intangible transformation from a group of people who feel disempowered and disenfranchised to not.”

Jimenez says hitting scale for Unit would mean rewriting U.S. labor laws.

“It’s not a technical problem we have to solve, it’s a problem of values,” she said.

When venture is the elephant in the room

To scale, Unit will have to lean on VC, per White. In July 2020, Unit closed $1.4 million in financing, from investors such as Bloomberg Beta, Draper Associates, Schlaf Angel Fund, Haystack, E14 and Gutter Capital.

And this is where the heart of the tension with Unit is, per White: It needs to raise venture capital to hit scale, but getting in bed with that very asset class can feel counterintuitive.

For example, what if Unit helps employees within portfolio companies of existing investors start unions? Is there a conflict of interest, or can Unit be swayed to not prioritize those clients in order to keep its cap table happy?

Last year, California voters passed Proposition 22, essentially supporting Uber, Lyft, DoorDash, Instacart and Postmates that gig workers should not be entitled to the same labor right as employees, staying as independent contractors. The move was a blow to the efforts of worker-organizers around the world, and a reminder that venture-backed companies can be incentivized to act against broader access to benefits and worker protections.

While White says that venture was the best option for speed and scale, he did admit to worrying about some of these concerns, specifically about the influence that investors might try to have in later rounds if the founding team is unable to keep the majority of the company. He hopes that Unit can operate off of little venture capital for as long as possible to delay or altogether avoid those interests.

Siri Srinivas, an investor at Draper, thinks of Unit as a service that is building a better tool for a process that is regulated and complex. In other words, stripping out the politics, it’s a SaaS tool that makes sense.

“Frankly as VCs, we invest in technologies that people want. We as a team make a hard call on not engaging with certain products (e.g. tobacco) which we think are net negative for the world but don’t see this as much different from investing in other companies building software products in regulated industries,” she said. “Unit allows for a form of worker equity and can unlock a lot of value for its users and in that our incentives are completely aligned.”

For now, White is hoping that general interest in rebuilding workplaces keeps Unit busy and revenue-generating.

“We never could have predicted COVID having the impact that it did and really igniting even more conversations around labor and safety,” he said. “I do think, when we face these problems on a national level, sometimes they hit everybody at once and people think about the same things at the same time.”

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