Questions a buyer actually asks.

Expertluma is the operating system for producing reliable AI. You bring an existing AI model or agent. Expertluma runs a bounded production program around it — 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 or not ready.

Organizations can build or buy AI faster than they can establish whether it is ready for a specific job. Expertluma provides the production process for closing that gap: define the intended use, produce what is needed, examine the system against a controlled protocol, preserve the evidence, and support the authorization decision.

No. You keep the AI. It stays in your environment. Expertluma runs the production program around it. You do not replace your model or agent with Expertluma.

No. Expertluma is not an AI model, not an agent, and not an agent runtime. The customer remains responsible for the AI system and its operation. Expertluma runs the production program around it — evidence, evaluation, and the decision record.

The first product is a bounded AI Production Program: Evaluate → Evidence → Decision. Certification packages the evidence and result for that decision.

Yes. Training is one of the production operations Expertluma can run around your AI. Expertluma can produce annotations, preference data, evaluation cases, red-team cases, expert judgments, and other human intelligence needed to improve the system. Training improves the AI. Evaluation establishes what it demonstrated. You decide whether and how to use that output.

AI Training is the data, human feedback, and expert knowledge we produce. Your team trains the model in your environment. Expertluma does not take the weights or run that training.

Produce is the governed work around your AI: training data, human feedback, evaluation sets, red-team cases, and other production evidence. Training improves the AI. Evaluation establishes what it demonstrated. Those are different jobs.

Improvement work is for making the AI better. Assurance work is for determining what it demonstrated. Those two datasets stay separate. The training team does not see the frozen examination. Otherwise the exam is contaminated.

You already have AI. Expertluma examines it for the intended production use. The operating sequence is Define → Freeze → Examine → Evidence → Decide. Produce sits inside the program when the AI needs training data or human intelligence — it is not a requirement to start.

An existing AI system, model, or agent you are putting into a defined use — whether it was built internally, licensed, or supplied by a vendor. Expertluma examines the system you register for that intended use, not a claim that the AI is universally good.

No. Your AI remains in your environment. Expertluma evaluates it through the registered evaluation interface; you do not hand us the model or agent to operate as our own product. What data is exchanged during an evaluation is defined by the program and the customer's security and data-handling requirements.

No. A first program can examine the AI you already have. Produce is available when gaps justify governed work around that AI. Evaluation does not automatically mean “make more data.”

The intended use is defined. The examination is frozen. Expertluma runs controlled cases — including required refusals, escalations, and forbidden actions — and records what the system demonstrated, including where it failed.

A sealed set of cases that does not move after lock. If a later version is examined, it is examined against the same sealed set. A new exam that moves the goalposts is not proof.

Yes. A score is evidence, not authorization. A blocking failure can make the result Not Ready regardless of the aggregate score.

No. Expertluma runs a controlled examination of the system you register. For agents, the evidence is the trajectory declared under that examination — not independent observation of live production tool calls.

You remediate outside Expertluma and register a distinct version. Expertluma re-examines it on the same sealed examination. Same system, same version is not improvement.

A named human in your organization. Expertluma produces the evidence and supports the decision. Expertluma does not authorize the AI.

Not Ready is a legitimate production outcome. It means the record does not support authorizing this AI for this use. It is not a failed demo. The findings go to the AI owner. A successful Expertluma engagement does not require an approval. It requires a defensible result.

Expertluma assembles an authorization evidence package. A named human decides whether the defined use is authorized. Expertluma does not authorize the AI. This is not a government certification.

The defined package output — Blueprint, released training inputs, evidence package, authorization package, or a bounded enterprise program.

No. Authorization is bounded by the defined intended use and the evidence supporting it. If the system, the evidence, or the intended use changes materially, the affected scope can be re-examined. Authorization is not a one-time badge.

No. Reassessment happens inside the program when something material changes. That is lifecycle — not a continuous monitoring product, and not interception of live tool calls.

Yes, where the package requires them. Workforce composition is determined by the production requirement.

Yes. Where the production design permits it, your employees can perform the work under the same production controls.

No. Annotation is a production activity performed inside a defined production package. It is not a public task marketplace and not a seat of annotators.

No. Reference programs are demonstrations of the operating system. They are not traction and not paying-customer validation.

Start an AI Production Program, or talk to Expertluma. A request is reviewed. Submitting a request does not by itself create an account or a workspace.

The first engagement is a bounded AI Production Program scoped around a defined AI system and intended use. Pricing is based on the examination, production work, evidence requirements, and scope of the engagement. Certification packages the evidence and result for the decision. Talk to Expertluma for a scoped proposal.