UiPath

Liquid AI

UiPath

UiPath sells software licenses and cloud subscriptions for its automation platform. Pricing is based on the number of software robots (called "attended" and "unattended" robots) deployed plus platform fees for orchestration and management tools.

The land-and-expand model works well. A company might start with 5 robots automating invoice processing, then expand to 50 robots handling HR onboarding, then 500 robots across the entire organization.

Revenue per customer grows as automation spreads through departments.

Annual recurring revenue exceeded $1.5 billion in fiscal year 2025. The shift from on-premise licenses to cloud subscriptions has been a major focus, with cloud ARR growing faster than overall revenue.

Professional services and training (UiPath Academy) generate additional revenue.

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.

UiPath

Daniel Dines grew up in communist Romania and taught himself to code as a teenager. After working at Microsoft in Seattle for several years, he returned to Bucharest in 2005 and started a small software company called DeskOver with Marius Tîrcă.

Their initial product was an SDK — a software library that let developers build automation scripts for Windows applications.

For nearly a decade, DeskOver (later renamed UiPath) survived as a tiny bootstrapped company selling development tools. Dines ran the operation from a small apartment in Bucharest with a handful of employees.

Revenue was modest — enough to keep the lights on but not enough to grow. The company was unknown outside a niche developer community.

The pivot came around 2013-2015 when Dines noticed that large enterprises were spending billions on outsourcing repetitive digital tasks — copying data from one system to another, processing invoices, updating spreadsheets. He repositioned UiPath from a developer tool into an enterprise RPA platform: software "robots" that could mimic human actions on a computer screen.

Click this button. Copy that field.

Paste it here. Send that email.

The timing was perfect — every large company had thousands of employees doing exactly this kind of work.

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.

UiPath

UiPath grew through a community-first strategy. UiPath Academy offered free training and certification, creating hundreds of thousands of developers who knew the platform before their employers bought it.

When those developers advocated for UiPath internally, the sales team had warm leads.

The free Community Edition let individual developers and small teams use UiPath at no cost. This bottoms-up adoption mirrored the playbook of Slack and Atlassian — get individual users hooked, then sell enterprise licenses to the organization.

Partners and system integrators drove enterprise deals. Deloitte, Accenture, EY, and PwC all built RPA practices around UiPath, recommending it to their enterprise clients.

These consulting firms had existing relationships with every Fortune 500 CIO, and they directed automation budgets toward UiPath.

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.

UiPath

AI threatens to leapfrog RPA entirely. Traditional RPA automates repetitive, rule-based tasks by mimicking human clicks.

But generative AI and large language models can understand context, handle exceptions, and process unstructured data — potentially replacing the need for screen-scraping robots. If AI agents can directly interact with APIs and databases, the "robot that clicks buttons" approach may become obsolete.

Competition from Microsoft is the most dangerous threat. Microsoft Power Automate is bundled into Microsoft 365, which virtually every enterprise already pays for.

Offering "good enough" automation for free inside a suite companies already use is devastating for a standalone RPA vendor charging premium prices.

Growth has decelerated. After explosive growth during COVID (when every company rushed to automate), UiPath's revenue growth slowed significantly.

The stock dropped over 80% from its all-time high. CEO Daniel Dines stepped back as CEO in 2023 (Rob Enslin took over, then left, and Dines returned in 2024), creating leadership instability at a critical moment.

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.

UiPath

UiPath Studio — the development environment where automation workflows are designed using a visual drag-and-drop interface. No coding required for basic automations.

UiPath Robots — the software agents that execute automated workflows, either alongside human workers (attended) or independently (unattended) on virtual machines. UiPath Orchestrator — the centralized management platform for deploying, monitoring, scheduling, and scaling thousands of robots across an organization.

UiPath Autopilot — an AI-powered assistant that uses generative AI to help users build automations through natural language descriptions. UiPath Document Understanding — AI models that extract data from unstructured documents like invoices, contracts, and forms.

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.

UiPath

Accel led the Series A in 2017 — the first major venture investment after a decade of bootstrapping. CapitalG (Alphabet's growth fund), Sequoia Capital, and IVP participated in later rounds.

Dragoneer, Tiger Global, Alkeon Capital, and Coatue Management invested in the 2019-2021 growth rounds. The April 2021 IPO raised $1.3 billion at a $36 billion valuation.

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.