EExpertluma

How it works

What happens after we engage

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.

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The platform

Here is how the platform works

You bring one AI. Expertluma produces the inputs, records what the AI demonstrated, and brings a decision a named person can stand behind.

Expertluma walkthrough: bring an AI, receive released training inputs, see what the AI demonstrated, and read a defined-use decision.
Illustrative records, the same ones this site uses to show a program. They are not a customer and not a live result.

  1. 01

    You bring the AI

    Expertluma runs the production around it. You decide whether to put it into production.

  2. 02

    We produce what the AI needs

    Labels, correct answers, rankings, and grades. Inspection is complete before release. You train the model.

  3. 03

    We record what it showed

    Sealed cases, what it demonstrated, the failures, and what is still unknown. A score does not clear a blocking failure.

  4. 04

    A named person decides

    Authorized for this use, or not ready. Both are finished decisions. Expertluma does not authorize the AI.

  5. 05

    You request access

    Tell us the organization and the AI. A request is reviewed before a workspace exists.

Expertluma

From AI ambition to trusted reality.

We produce the inputs, evidence and decision records required to put AI into controlled use.

  1. 1. Define

    Understand the requirement and design the work.

  2. 2. Produce

    Coordinate the right people to create high-quality inputs.

  3. 3. Validate

    Test and evaluate what the system actually demonstrates (including failures).

  4. 4. Enable decision

    Assemble the evidence a named human needs to authorize or refuse a defined use.

Expertluma manages the production, quality and evidence.

  • People
  • Process
  • Evidence
  • Confidence
  • Work behind AI you can trust.

The operating sequence

The four stages above are the buyer view. The program still inspects, accepts and releases work before a named human decides.

  1. 01

    Define

    What is the AI supposed to do?

  2. 02

    Produce

    Create the required training and evaluation inputs.

  3. 03

    Inspect

    Check work against defined quality requirements.

  4. 04

    Accept

    Accept only work that meets the production criteria.

  5. 05

    Release

    Release the production output.

  6. 06

    Measure

    Evaluate the AI system.

  7. 07

    Evidence

    Assemble the evidence.

  8. 08

    Decide

    A named human authorizes, refuses, or requires further work for the defined use.

The customer trains or updates its AI in its own environment and returns the distinct system or version for evaluation.

Assurance continues inside the program when something material changes. It is not a sixth package and not interception of live traffic.

A representative five-week program

Give us one AI system. We put it through a bounded production program and return evidence and a deployment decision. Timing depends on scope. Reference programs are not customers.

  1. Week 1

    Evaluate

    Intended use locked. Examination sealed. Baseline measured on the actual AI.

  2. Week 2

    Governed work

    Failure intelligence drives governed datasets and expert review the AI owner uses outside Expertluma.

  3. Week 3

    Customer remediates

    The customer's AI team ships a distinct new version in their environment. Expertluma does not train their model.

  4. Week 4

    Evidence

    Same sealed examination on a distinct version. Trust Package assembled.

  5. Week 5

    Decision

    A named human authorizes, returns, or says not ready. Settlement follows accepted production — pass is not pay.