Yonoo is the orchestration layer above the AI models. One question goes in. The engine best suited to it answers — and when the stakes are high, several answer and Yonoo compares them.
Requirements sit in one tool, test results in another, design data in a third, the decision history in somebody's inbox. The work is not thinking — it is finding the right source, checking it is current, and proving it.
Every team picks a different tool. Nobody knows which model is strongest for which task, whether the answer is grounded, or what left the building. So AI stays in the drafting corner and out of decisions that carry cost.
An engineering decision made on an unverified answer is not a productivity gain. It is a liability with a delivery date.
Many models through one enterprise environment, instead of many tools and many subscriptions.
Models differ in what they are good at. Yonoo picks, so the user does not have to.
On high-stakes questions a panel answers and disagreement is surfaced, not hidden.
Answers can be grounded in the documents the company already has.
Where they agree, confidence is high. Where they disagree, that disagreement is the finding.
Users already run several models on one question and receive a combined answer. This is live for every paying tier and is the capability partners are integrating.
Tying each statement back to the exact passage in a company document. This is what turns a good answer into evidence, and it is the single largest item the raise funds.
Every model vendor has to argue theirs is best. We have no such incentive, so we can be honest about which one wins a given task — and when a better model ships, we adopt it instead of rebuilding around it.
Which model for which task, when a panel is worth the cost, how the answers combine. This is maintained internally against our own benchmarks and is not exposed to customers or partners.
Our engineering founder came from vehicle and aerospace programmes. The workflow we are automating is the one she ran by hand.
Secure environments, private deployment and connectivity come from infrastructure partners. We stay in the intelligence layer. That keeps us light and makes us easy to embed.
Chosen because the pain is sharpest and measurable: decisions are expensive, evidence is mandatory, and the documents are already structured. It is also where our founder is credible on first contact.
How they cope today: separate subscriptions per team, an internal wiki nobody trusts, and asking the one colleague who remembers why the decision was made.
Routing, panels and governance are the same problem in legal, finance and public sector. Engineering is the wedge, not the ceiling — and it is the hardest room to win, which is why we started there.
Buyer: the engineering or digital lead who is being asked to put AI to work without putting the programme at risk.
Too many models, no intelligent way to pick and trust one.
First version shipped and validated with real users.
Reached roughly 1,700 registered accounts with no paid acquisition.
Partner API designed and built for an enterprise AI platform.
Partner engineers testing the live API against their own platform.
The bottleneck is engineering throughput, not interest.
A product in daily use, roughly 1,700 accounts grown without paid acquisition, a partner testing our live API and enterprise conversations with Bugatti Rimac, FEV and KONČAR. Enterprise agreements are still in discussion and consumer subscriptions are early. We are raising to convert demand we can already see, not to go looking for it.
| Annual platform license Access to the intelligence layer per business unit or deployment |
| Usage Routing and orchestration above the included allowance |
| Private or on-premise Priced at a premium |
| Integration One-off, only where genuinely required |
| Yonoo embedded Our routing and orchestration inside their enterprise platform |
| Paid on usage Per routed request or per active user, on the agreed commercial structure |
| Distribution without headcount Their sales team, their support, their end-customer relationship |
| Status Commercial structure agreed with our first platform partner; pilot running |
License the intelligence, not the customisation. Build once, let the customer configure their own models, data and policies, and keep the layer that decides.
| Line | Value |
|---|---|
| Revenue, metered | €4 / 1,000 requests |
| Revenue, per seat | €2.50 / user / mo |
| Routing cost | ~€0.10 / 1,000 |
| Answer generation | Not yet included |
| Gross margin | To be confirmed |
| Line | Value |
|---|---|
| Revenue, per seat | €6 / user / mo |
| Included | 60 runs |
| AI cost, fully utilised | €1.80 – €3.60 |
| Gross profit | €2.40 – €4.20 |
| Gross margin | 40% – 70% |
Metered orchestration at €35 / 1,000 runs sits inside an estimated cost range of €30–€60 per 1,000. It is loss-making at the top of that range and is being repriced with usage controls before it goes to any customer.
Year one carries setup and integration. The connectors, workflows and configuration are then reusable, so each further deployment costs less to serve while the licence revenue recurs. The unit is a deployment, not a seat.
Understand the task, select the model, route, orchestrate, compare.
Customers connect their own models, data and tools, and set their own policies.
Annual enterprise licence plus usage, with private and on-premise options.
Embedded across enterprise AI stacks through partners and platform licensing.
The Yonoo intelligence layer stays constant across all four stages. Only what surrounds it changes.
We do not want to monetise access to another AI interface. We want to monetise the intelligence that makes an enterprise AI stack work better.
Worked across automotive, aerospace and defence at Rimac, Lilium and Airbus Defence & Space. She has seen what an unreliable engineering decision costs, and she knows how these organisations actually evaluate and adopt new technology.
C-level commercial leadership before Yonoo, then identified an AI opportunity, built the product and exited it. He has already turned an AI idea into realised commercial value once.
For secure enterprise infrastructure, private deployment and connectivity we work with an established enterprise AI platform partner rather than hiring that team. It keeps us focused on the layer we actually own.
Tie every claim to the exact passage in a customer document. This unlocks requirements review, change-impact analysis and compliance evidence — none of which we can sell before it exists.
Single sign-on, roles, audit trail and private deployment: the checklist that decides whether an engineering enterprise can buy at all.
Turn the open enterprise conversations and the live partner pilot into signed, referenceable deployments.
Raising €500k pre-seed to reach our first paid enterprise pilots in Q4 2026 and Q1 2027.
casper@yonoo.ai · korina@yonoo.ai · yonoo.ai