Investors
AI is being built faster than organizations can prove it ready for production.
Expertluma runs the production around an existing AI system — producing the data and human intelligence it needs, examining what it demonstrates, preserving the evidence, and supporting a named human's decision about whether it is ready for a specific use.
We have built the machine. We are now proving that independent organizations will bring real AI systems into it and pay for the production decision.
Pre-seed — selectively open to investment and strategic commercial partnerships.
Expertluma has built the production system. We are now taking it through its first commercial engagements: real organizations bringing real AI systems into bounded production programs and paying for the resulting evidence and decision.
Production OS implemented.
Real customer AI system → examination → evidence → decision.
Prove the engagement can be repeated across organizations, AI systems, and use cases.
Enterprises can build, buy, and improve AI systems faster than they can establish what those systems have actually demonstrated, what they are authorized to do, and whether the evidence still supports that authorization.
Expertluma is building the production infrastructure for that gap.
AI system
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One production system around any AI system.
The question used to be whether a model works in a demonstration. The question now is whether this particular AI can be shown to do this particular job, under this boundary, and whether a named person can defend putting it into use.
Expertluma is the production system enterprises use to test an AI on its actual job, produce what the failures require, prove the improvement, and support a defensible decision about deployment.
Without that proof, deployment stalls — or it proceeds on a score nobody can stand behind.
The person who must authorize an AI into a real workflow: a chief AI officer, a program director, product, risk, or the executive who will be asked what the system actually demonstrated.
One AI system. A bounded production program. Evidence of what it demonstrated, and a deployment decision — including Not Ready.
An enterprise can buy a score, a labeling contract, or a policy. Assembling sealed examination, human work, contamination control, evidence, and a decision record is a production system. That system is what Expertluma operates, and it is what gets harder to copy as each program adds protocols, adjudication, and records.
The program includes human work. The customer pays for a production outcome. The software is what makes that work governed, comparable, and reusable on the next AI.
The first program is one AI. The same system then runs the next AI in the same organization. The enterprise platform comes after the first paid production decision. It is not the first purchase.
AI companies already spend heavily on training data, human feedback, evaluation, and expert human work. But improving an AI system and establishing whether it is ready for a specific production use are different problems.
Expertluma connects them in one production system.
Training data, annotations, preferences, expert judgments.
Controlled examination of the resulting AI.
Evidence of what it demonstrated.
A named human authorizes the defined use — or the system is Not Ready.
Expertluma participates in the existing AI training economy. Its economic value extends beyond training.
We're not another model, agent runtime, labeling marketplace, or generic monitoring tool. The customer brings the AI. Expertluma runs the production around it. A named human makes the decision.
Every organization deploying consequential AI eventually needs production data, human intelligence, evaluation, evidence, certification, authorization, and ongoing reassessment. That requirement holds across models, agents, applications, and domains.
When evidence is insufficient, the system says not ready.
Demonstrated means the production system works. It does not mean paying-customer traction or market validation.
Terms are shared in a briefing, not here.
Healthcare AI Evaluation
Reference program
AI Agent Evaluation
Reference program
RAG Evaluation
Reference program
These represent production-program capabilities demonstrated by the platform. They are not claims of paying customers or market validation.
Internal reference implementation — not a customer engagement, not revenue, and not market validation.
83.67%→88.14%
+4.47 pp measured improvement
Internal reference implementation — not a customer engagement, not revenue, and not market validation.
Same sealed examination · distinct version
Interactive demonstration scoreboard: Journey scoreboard for a resettable demonstration — not a customer result, and not the authoritative reference evaluation. Open the live demo.
First paying organization completes a bounded AI Production Program.
The program can be delivered repeatedly without founder-led reinvention.
One production program can expand into additional AI systems, use cases, and production work.
The production system has been built by the technical founder. The next phase is commercial: independent organizations bring a real AI into it and pay, with a senior partner who can take that offer into the US market.
This is a technical company with an operating system already underneath the site. It is not a landing page waiting for a product. What is not yet proven is demand: that an independent organization will pay for the production decision.
Expertluma is looking for a senior commercial partner. The product boundary is set. Distribution is the open seat. The partner’s network, reputation, and the next several years are what turn the machine into a company US enterprises can buy from.
The first paid production programs, repeatable delivery, and US commercial distribution. The round is not for another layer of architecture. Terms are shared in a briefing.
We are looking for investors, and for a senior US commercial partner. The production system is built. The open work is demand, US distribution, and the first paid programs.
Economics, terms, and use of funds are shared in a briefing — not on this page.
Invitation
Pre-seed — selectively open to investment and strategic commercial partnerships. Terms are in the briefing, not on this page.
Deeper materials: Investor Room after qualification.
Requests are delivered to [email protected].