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Enterprise AI Production Platform

Test. Train. Prove. Certify.

Your AI. Your workflow. Your examination. Your evidence.

We examine your AI on the job it is supposed to perform, identify what it can and cannot do, help improve it, retest the improved version against the same examination, and produce evidence for the deployment decision.

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Designed for enterprise AI decision makers

Chief AI Officers · Chief Digital Officers · Chief Risk Officers · AI Program Directors · Heads of Product & CX · Executive Sponsors

Inside every AI Production Program

What happens to your AI

The operating partner story is the outer frame. This is the machinery inside: examine the AI on the job, improve it, prove the improvement, then keep governing it.

  1. 01

    Discover

    Define the job your AI must perform.

  2. 02

    TEST

    Run the AI against a governed examination.

  3. 03

    Diagnose

    Identify capability gaps, failures, and risk.

  4. 04

    IMPROVE

    Use governed training data, expert feedback, and workforce work to improve the system.

  5. 05

    PROVE

    Run the improved version against the same controlled examination.

  6. 06

    CERTIFY

    Produce evidence for the deployment decision.

  7. 07

    OPERATE

    Continue governing and improving the AI in production.

Production Director sits above this machine as orchestration — coordinating AI, evaluation, workforce, experts, partners, and governance. It is not a dashboard product, and it does not replace Test → Improve → Prove → Certify.

See an AI get examined

Live demonstration

See an AI get examined

Don’t take our word for it. Watch Expertluma test a real tool-using customer-operations agent — then improve and retest on the same sealed examination.

Northstar Financial — Customer Operations Agent

  1. Customer request

    “My card was stolen while travelling. What should I do?”

  2. Agent action

    lookup_transaction

  3. Expected

    lookup_policy → escalate_to_human

  4. Result

    Fail — wrong tool; missing escalation

  5. Improve

    Governed human review + training material → client ships V2

  6. Retest

    Same sealed examination · independent Prove

Verified Evaluation (ERC)

83.67%88.14%+4.47 pp

Verified scores lead. Interactive walkthrough scores are demoted relative to ERC.

Open the live examination

Evaluation without improvement is incomplete. Improvement without proof is incomplete. Expertluma connects both — then hands the evidence back.

Illustrative Program strip

  1. 120Cases sealed
  2. 68.6%Baseline
  3. 5Failure classes
  4. 3Train packages
  5. v2Client ships
  6. 92.6%After
  7. +24ppProven delta
  8. CEREvidence issued

Example shape of a measured Program — not a named customer claim.

AI does not fail only at approval.

It fails when nobody can measure, improve, and prove — as one program.

Most vendors do one piece: score a model, or label data, or write a policy. Boards need the chain.

  • What can this AI actually do?
  • Where does it fail?
  • Did the improved version actually get better?
  • Can we prove it?
  • What does the evidence authorize us to deploy?

Expertluma exists to answer those questions — then hand the program back.

The Expertluma chain

Four stages in one Program. Your AI engineering team ships v2. You own the deployment decision.

We do not silently retrain your model weights. We produce the examination, the governed training work, and the independent proof — then package everything for hand-back.

  1. Test

    Discover what the AI can do

    Turn the client workflow into a sealed examination. Run their actual AI. Establish baseline capability and failure intelligence.

    • Client workflow → sealed exam
    • Expert ground truth & QA
    • Live system under test
    • Baseline measurement
    • Failure taxonomy (gaps, not vanity scores)

  2. Train

    Turn gaps into governed training work

    Train AI turns identified capability gaps into governed training and expert work. Production can be handled by your reviewers, Expertluma’s workforce, or a governed mix — depending on the task.

    • Your workers & reviewers
    • Expertluma workforce & experts
    • Governed mix when you need both
    • Image & text dataset pilots (shipped)
    • Annotation, labeling & ground truth
    • Certified Dataset Packages
    • Challenge / preference work (expanding)

  3. Prove

    Show that it actually got better

    After the client ships v2, retest on the same locked examination. Contamination controls keep the proof honest.

    • Independent retest (same sealed set)
    • Before → after comparison
    • Contamination hard-blocks
    • Improvement confirmed or denied

  4. Certify

    Package evidence for the decision

    Assemble the Trust Package, Evaluation Report, certified datasets, and Decision record — under defined intended use.

    • Trust / certification evidence
    • Evaluation Report
    • Certified training packages
    • Honesty boundary
    • Executive Decision
    • Commercial close & settlement

Inside Train AI

Turn capability gaps into governed training work.

When gaps are found, Expertluma does not stop at a score. Train AI produces the human and data work your AI team needs — with flexible who, and a catalogue that is mature in core modalities and expanding in others.

Who does the Train work

  • Your people

    Your workers, domain specialists, and internal QA — operating on Expertluma under your policy and oversight.

  • Expertluma workforce

    Our AI Workforce Network — matched to modality and quality bar. Join the Workforce for professional programme assignments, not crowd tasks.

    Join the Expertluma Workforce →

  • A governed mix

    Combine your team with Expertluma capacity where you need scale or specialty review — same Program, same lineage, same QA.

Dataset kinds

In production today

  • Image annotation & vision sets
  • Text / document labeling
  • Classification corpora
  • Ground-truth adjudication
  • Certified Dataset Packages

Expanding with Programs

  • Challenge, safety & refusal sets
  • Preference / ranking (RLHF-style)
  • Agent trajectories & tool-use examples
  • RAG grounding & citation examples
  • Multimodal / mixed-modality packs

  • Governed production

    Schema, policy, retention, QA consensus, and Certified Dataset Packages — not ungoverned label volume.

  • Flexible staffing

    Your reviewers, our workforce, or a mix — depending on domain depth, capacity, and the task.

  • Feeds improvement

    Outputs are designed for your AI team to use when shipping v2 — not a silent retrain by Expertluma.

  • Stays contamination-safe

    Training material and locked evaluation cases stay separate — whoever produces the work.

Training material and locked evaluation cases stay separate — whoever produces the work. That contamination boundary is what makes Prove honest.

Then we hand the program back

Your AI. Your data. Your evidence. Your deployment decision.

Expertluma does not keep the program as a black box. You receive the improved materials and the proof — ready for governance.

  • Improved training material
  • Certified Dataset Packages
  • Examination definition (sealed)
  • Baseline measurement
  • Failure analysis
  • Before → after proof
  • Trust Package
  • Certification evidence
  • Decision record

What certification means here

Expertluma tells you exactly what the evidence proves — and what it does not.

What evidence can prove

  • Measured performance on a sealed, client-shaped examination
  • Independent before → after after improvement work
  • Evidence packaged under a defined intended use

What it does not prove

  • That the AI is safe for every use case
  • Live integration with every upstream system (unless that connector is in scope)
  • A blank check for unsupervised deployment

Authorization is always under defined intended use. Your governance owns the go / no-go.

Buy an engagement. Run the product loop.

Procurement buys Assessment, Improvement Pilot, Certification, or Enterprise Platform. Inside each Program, the AI moves through Test → Train / Improve → Prove → Certify.

Assessment opens the examination path. The Pilot runs baseline → improvement → retest. Certification packages the Decision. Enterprise scales the same loop across Programs.

  1. Assessment

    Confirm intended use and whether the AI is ready to be examined.

  2. Improvement Pilot

    Establish what the AI can do, identify its failures, and create the evidence needed to improve and validate it.

  3. Certification

    Independent evidence, gates, and Decision support under defined intended use.

  4. Enterprise Platform

    Run multiple Programs with shared governance, workforce, and evidence operations.

Measurement, improvement, and proof — connected.

Many tools stop at a score, a labeling project, or a policy document. Boards need the chain from examination to evidence.

Expertluma connects evaluation, improvement, human expertise, evidence, and production governance in one operating model.

  • Test with a sealed exam

    Client-shaped cases, expert ground truth, their actual AI — baseline and failure intelligence.

  • Train / Improve from the gaps

    Governed improvement work — your people, ours, or a mix — so your AI team can ship v2.

  • Prove on the same exam

    Independent retest. Contamination blocked. Before → after the board can defend.

  • Certify under intended use

    Reports, datasets, Trust Package, Decision — with an honesty boundary your governance can trust.

Featured proof: Clinical Triage Agent

Healthcare flagship — deepest sealed Test → Prove path today

Northstar has a pneumonia triage agent. Internal testing says it works. Leadership needs capability discovered, improved, and proven before controlled deployment.

Expertluma seals the exam and measures baseline (Test). Train work is produced by Northstar reviewers, Expertluma workforce, or a mix. Northstar ships v2. Expertluma retests on the same exam (Prove) and returns before→after evidence, Certified Dataset Packages, and a Trust Package (Certify). Governance decides in Decisions — under defined intended use.

Architecture can extend here — packs mature by industry

Platform applicability is architectural. Not every industry below is a fully commercialized Expertluma pack today.

  • FinanceKYC / risk agent
  • InsuranceClaims triage AI
  • Retail & CXCustomer-service agent
  • TechnologyProduct / support copilots
  • ManufacturingDefect vision model
  • GovernmentCitizen-service AI
See how engagements run →

One programme. Four worlds.

The Test → Improve → Prove → Certify machine is what buyers buy. Four audiences make it real — each with a clear door into Expertluma.

Expertluma

Coordinates AI, evaluation, evidence, and certification under one Program.

See the platform →

Inside the Program

  • AI

    The system under examination — agent, RAG, vision, or copilot.

  • People

    Workforce, experts, partners, and the client’s own reviewers.

  • Evidence

    Sealed exams, failure maps, before → after, Trust Packages, Decisions.

  1. Enterprise
  2. Production Director
  3. AI · Evaluation · Workforce · Partners
  4. Evidence
  5. Certified Production

Senior domain specialists enter separately via Become an Expert. Become an Expert →

Same chain. Depth varies by industry.

Platform applicability is architectural. Validated evaluation packs are deepest in Healthcare, Agent, and RAG today — other industries use the same loop as Programs mature.

Validated evaluation packs today

Deepest sealed measurement and Program proof on the platform.

Platform capability — expanding packs

Same Test → Improve → Prove → Certify chain; industry examination depth is maturing.

  • Enterprise SSO
  • Microsoft Entra ID
  • SAML 2.0
  • SCIM
  • ISO 27001
  • SOC 2 Type II
  • HIPAA Ready
  • GDPR

Put one AI through the program.

Start with sealed measurement. Produce the training work it needs. Prove the improvement. Certify under intended use — and take the hand-back.

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