AI is rewriting how companies scale. Your funding should match that ambition. Non-dilutive, grows with ARR, operator-led.
Real situations we hear in almost every first call.
01
A big customer ramps usage. Inference costs land this month. Their invoice lands next month.
02
Reserved capacity lowers your costs, but you pay for a year of compute before you use it.
03
Forward-deployed engineers spend months inside each enterprise customer. Their salaries land long before full revenue does.
04
You know the path: cheaper inference, better models, bigger contracts. You just need room to get there.
From the first fine-tuned model to usage-based revenue at scale. Every step of an AI business has its own cash moment. Here is each one, and how Float fits.
You pick a foundation model, fine-tune it and build evals that prove quality.
Where the cash goes
ML talent and data labelling cost more than almost any other hire.
With Float
Draw to hire ML engineers without giving up equity at seed prices.
The product goes live. Every request costs compute, often before you price it right.
Where the cash goes
Cloud commits and GPU capacity are paid upfront or monthly in advance.
With Float
Fund compute commits and repay as usage revenue arrives.
Enterprise design partners test the product on real workflows.
Where the cash goes
Forward-deployed engineers work pilots before contracts are signed.
With Float
Use a grace period of up to 6 months while pilots convert.
Pricing settles into seats, usage or both. Gross margin improves as you optimise.
Where the cash goes
Margins are thin early. Revenue grows faster than cash.
With Float
Tailor each draw to the margin curve. Pay only for what you use.
Usage expands across teams. Recurring revenue becomes predictable.
Where the cash goes
Scaling GTM and compute at once needs capital at the right moment.
With Float
Your facility grows with ARR. Draw again, bigger.
How money moves in AI.
Cash break-even
Float covers the gap
Facility grows · draw again
We're here at every stage
The pressure
Model work and ML talent cost money before launch.
With Float
Fund key hires without pricing equity too early.
The pressure
Early customers need support and custom work.
With Float
Draw for delivery capacity as contracts land.
The pressure
Inference and GPU spend rise with every user.
With Float
Tailor each draw to your compute commitments.
The pressure
Margins improve as models and infrastructure mature.
With Float
Repay as revenue comes in, over up to 24 months.
The pressure
Usage expands inside accounts. ARR accelerates.
With Float
Your facility grows with ARR. Draw again, bigger.
We understand it
Fast ramps, compute-heavy costs and expanding accounts. We underwrite on real recurring revenue.
Simple
Connect Stripe, Xero or QuickBooks in clicks. Get an offer based on your real numbers. No deck, no data room.
Flexible
Up to a 6-month grace period, so compute and hiring can pay back first. Terms up to 24 months. Pay only for what you use.
17
European markets
