AT A GLANCE

Gusto
Liquid AI
2011
Founded
2023
San Francisco, California
HQ
Cambridge, USA
$746 million
Total Raised
About $287 million
Josh Reeves, Edward Kim, Tomer London
Founder
Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
HR Tech
Type
AI
Private ($9.5B valuation)
Status
Private

FUNDING HISTORY

Gusto

Seed2012
$6M raised
Series A2014
$20M raised
Series B2015
$60M raised
Series C2016
$50M raised$1.0B val.
Series D2019
$200M raised$3.8B val.
Series E2022
$400M raised$9.5B val.

Liquid AI

Seed2023
$38M raised$303M val.
Series A2024
$250M raised$2.4B val.

BUSINESS MODEL

Gusto

Gusto charges a monthly base fee plus a per-employee fee. The Simple plan starts at $40/month plus $6 per employee per month.

Plus and Premium tiers add features like time tracking, PTO management, and dedicated support at higher price points.

The per-employee pricing creates natural revenue growth — as customers hire more people, Gusto makes more money without any additional sales effort. This aligns Gusto's success with their customers' growth, which is a beautiful incentive structure.

Additional revenue comes from embedded financial products. Gusto Wallet (employee banking), Gusto-run health benefits, 401(k) administration, and workers' comp insurance all generate fees.

The payroll platform becomes a distribution channel for financial services — once you process payroll for a company, you have a direct relationship with every employee and can offer them financial products.

Liquid AI

Liquid AI builds foundation models, the big general-purpose brains that power chatbots and other AI tools. The difference is efficiency.

Their models, called Liquid Foundation Models, are designed to do more with far less memory and computing power. Companies pay to use them, either through a cloud API or by running the models on their own machines.

That second option matters. A bank or a hospital often cannot send private data to someone else's server.

Liquid AI lets them keep the model in-house. The pitch to a customer is basically this.

You get strong AI without renting a mountain of expensive chips.

HOW THEY STARTED

Gusto

Josh Reeves, Edward Kim, and Tomer London were Stanford engineering graduates who noticed that every small business owner they talked to hated the same thing: payroll. Running payroll meant calculating federal, state, and local taxes, filing quarterly returns, issuing W-2s, managing direct deposits, and dealing with an alphabet soup of compliance requirements (FICA, FUTA, SUTA).

One mistake and the IRS sends a penalty notice.

The existing solutions were terrible for small businesses. ADP and Paychex dominated the market but were designed for mid-to-large companies.

Their interfaces looked like they were built in 1998 (because they were). Their pricing was opaque.

Their customer service required calling a 1-800 number and sitting on hold. Small businesses with 5-50 employees were dramatically underserved.

The trio founded ZenPayroll in 2011 (rebranded to Gusto in 2015) with the mission of making payroll dead simple. The first version was a clean web interface that let business owners run payroll in a few clicks — enter hours, review the numbers, hit submit.

Gusto calculated all taxes automatically, filed them with the government, and sent direct deposits. What used to take half a day took five minutes.

Liquid AI

Liquid AI is a spinout from MIT's Computer Science and Artificial Intelligence Laboratory, better known as CSAIL. The core science came from Ramin Hasani, who spent his PhD studying the nervous system of a tiny worm called C.

elegans. That worm has just 302 neurons and still manages to move, hunt, and react to its world.

Hasani and his collaborators asked a simple question. What if you built an AI that worked more like those neurons and less like a giant static network?

The answer was the liquid neural network, a model whose internal wiring keeps adjusting even after training is done. The team incorporated the company in 2023.

Daniela Rus, who runs CSAIL and is one of the most respected robotics researchers alive, came on as a co-founder. So did Mathias Lechner and Alexander Amini, both longtime research partners of Hasani.

HOW THEY GREW

Gusto

Gusto grew by being the payroll platform that accountants recommended. Accountants manage payroll for thousands of small businesses, and Gusto built a dedicated Partner Program for accounting firms.

When a CPA recommends Gusto to all their small business clients, that's efficient distribution at scale.

The product-led growth motion is strong. Gusto's clean design and simple setup meant small business owners could sign up, enter their employee information, and run their first payroll without talking to a salesperson.

Free trials converted at high rates because the alternative was going back to manual calculations.

Expanding from payroll into HR, benefits, and financial services followed the natural workflow. Once Gusto ran payroll, adding benefits administration was a natural upsell — the same system that calculates pre-tax deductions can also manage the benefits that create those deductions.

Liquid AI

The growth angle is size, or the lack of it. Most frontier models are so heavy they only run in data centers.

Liquid AI aims for models light enough to run on a phone, a car, or a factory robot. That opens doors the giants cannot easily reach.

The AMD partnership pushes the same idea. AMD makes chips, and it wants efficient models that show off its hardware.

So AMD led the Series A and became both an investor and a distribution partner. Liquid AI also releases open models to researchers, which builds a following before the sales team ever makes a call.

THE HARD PART

Gusto

ADP and Paychex aren't going to cede the small business market quietly. ADP Run is their small business product, and they've been modernizing it aggressively.

ADP has 70+ years of trust, massive sales teams, and relationships with every accountant in America. Gusto has a better product experience, but ADP has distribution that's hard to match.

Rippling is the most dangerous competitor. Parker Conrad (Rippling's CEO) is building an "all-in-one" HR/IT/Finance platform that includes payroll alongside device management, app provisioning, and expense management.

Rippling argues that payroll should be one feature in a broader system, not a standalone product. If companies buy Rippling for IT management and get payroll included, Gusto loses the deal.

Moving upmarket is hard. Gusto's sweet spot is companies with 1-100 employees.

Larger companies have more complex needs — multiple pay schedules, union rules, multi-state compliance, custom integrations — that Gusto's platform historically hasn't handled as well as incumbents.

Liquid AI

The honest problem is Goliath. OpenAI, Google, Anthropic, and Meta have raised tens of billions of dollars between them.

Liquid AI has raised under $300 million. The transformer architecture those giants use is battle-tested and improving fast.

Liquid AI has to prove its different approach not only works but keeps working as models get bigger. Betting against the most successful design in AI history is bold.

It is also the kind of bet that ends in either a great acquisition or a quiet shutdown, with not much room in between.

THE PRODUCTS

Gusto

Gusto Payroll — automated full-service payroll processing with tax calculations, filings, and direct deposits across all 50 states. Gusto Benefits — health insurance, dental, vision, 401(k), HSA, FSA, commuter benefits, and workers' compensation administered through the platform.

Gusto HR — hiring and onboarding tools, employee self-service portal, org charts, and document management. Gusto Time & Attendance — built-in time tracking with PTO management, holiday calendars, and overtime calculations.

Gusto Wallet — a free employee financial wellness app offering early wage access, savings accounts, and financial planning tools.

Liquid AI

The main products are the Liquid Foundation Models, a family that ships in several sizes so a customer can pick the smallest one that does the job. The second generation, LFM2, arrived in 2025, including LFM2-VL vision-language models built for phones, laptops, wearables and embedded chips.

The company has leaned hard into on-device AI rather than the cloud. The focus is always the same.

Match the quality of a much larger model while using a fraction of the memory and power.

WHO BACKED THEM

Gusto

Google Capital (now CapitalG) led the Series C. General Catalyst invested early and has been in multiple rounds.

Dragoneer, T. Rowe Price, and Fidelity participated in later growth rounds.

Y Combinator was the starting point (Winter 2012 batch). The company was valued at $9.5 billion in its latest funding round in 2022.

Liquid AI

It started with a $37.5 million two-stage seed in December 2023 at a $303 million valuation, from OSS Capital, PagsGroup, Automattic (the company behind WordPress), Samsung Next and others. Angels included GitHub co-founder Tom Preston-Werner, Shopify's Tobi Lütke and Red Hat co-founder Bob Young.

Then AMD Ventures led the $250 million Series A in December 2024, which is unusual because AMD is a chipmaker, not a typical venture fund. That backing gave Liquid AI both money and a hardware ally.

When a major chip company writes the lead check on an efficiency-focused model maker, it signals a bet that the future of AI is not just bigger, it is leaner.

MORE COMPARISONS