Headway

Liquid AI

Headway

Headway makes money by taking a percentage of the insurance reimbursement for each session facilitated through the platform. When a patient sees a Headway-credentialed therapist and pays their copay, Headway processes the insurance claim and takes a service fee from the reimbursement before paying the therapist.

The model aligns incentives well. Headway only makes money when therapy sessions actually happen, which means they're incentivized to help therapists see more patients and reduce no-shows.

Therapists make more than they would on their own (because Headway's negotiated rates are often better than individual therapists can get), and patients pay only their insurance copay ($0-$50 typically) instead of full out-of-pocket rates.

Scale creates a data and negotiation advantage. With 40,000+ therapists on the platform, Headway can negotiate better reimbursement rates with insurers.

More therapists attract more patients. More patients justify better rates.

The flywheel spins.

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.

Headway

Andrew Adams and Jake Sussman founded Headway in 2019 after watching people in their lives struggle to access affordable mental healthcare. The problem was specific and structural: most therapists operate as solo practitioners who don't accept insurance.

Not because they don't want to — because the process of getting credentialed with insurance companies, submitting claims, and chasing reimbursements is so bureaucratically painful that most therapists give up and go cash-only.

The result is a two-tier mental healthcare system. People with money pay $150-$300 per session out of pocket.

People without money either can't afford therapy or wait months for the few in-network providers available. Meanwhile, therapists who only accept cash are leaving money on the table — insurance pays reliably once the system works, and the patient pool is vastly larger.

Headway's solution was to build the infrastructure layer that makes insurance billing painless for therapists. They handle credentialing (getting the therapist accepted into insurance networks), claims submission, payment processing, and compliance — all the administrative work that therapists hate.

The therapist shows up, does therapy, and Headway handles everything else.

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.

Headway

Headway grew by solving the supply-side problem first. If you can get enough therapists on the platform and credentialed with insurance, patients will come because affordable therapy is in massive demand.

They recruited therapists with a compelling pitch: "keep doing therapy, we'll handle the business side."

Insurance partnerships were the growth unlock. Headway partnered with major insurance companies (Aetna, Cigna, United Healthcare, Anthem) to become an authorized credentialing partner.

This meant Headway could get therapists in-network faster and with less friction than the traditional process.

The mental health destigmatization wave amplified demand. Post-COVID, demand for therapy skyrocketed.

The conversation around mental health became mainstream. Headway was positioned perfectly to absorb that demand by connecting patients with affordable, insurance-covered therapists.

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.

Headway

Therapist retention is a challenge. Solo practitioners are independent by nature, and some leave the platform once they've built a full patient roster through Headway.

The platform needs to continuously demonstrate value beyond initial credentialing to keep therapists from going direct.

Insurance reimbursement rates are notoriously low. Therapists who accept insurance often earn 30-50% less per session than cash-pay rates.

While Headway negotiates better rates than individual therapists typically get, the fundamental economics of insurance-based mental healthcare remain challenging.

Regulatory complexity varies by state. Each state has different licensing requirements, insurance regulations, and telehealth rules.

Expanding to all 50 states means navigating 50 different regulatory frameworks, each with their own credentialing requirements and compliance standards.

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.

Headway

Headway Provider Platform — the core system where therapists manage their practice: scheduling, credentialing, claims submission, payment tracking, and patient communications. Headway Patient Matching — a directory and matching service that connects patients with in-network therapists based on insurance, location, specialty, and availability.

Insurance Credentialing Service — Headway handles the months-long process of getting therapists accepted into insurance networks, reducing what typically takes 6-12 months to weeks. Claims and Billing Engine — automated insurance claims submission and tracking that eliminates the paperwork therapists dread.

Practice Management Tools — scheduling, intake forms, session notes, and telehealth capabilities integrated into one platform.

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.

Headway

Andreessen Horowitz led the Series C at a $2.3 billion valuation. Accel and Thrive Capital invested in earlier rounds.

GV (Google Ventures) and Spark Capital also participated. The company has raised approximately $226 million total.

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.