Human Expert Partners Network
Expertium connects AI builders with vetted human experts who bring real judgement to post-training. Their feedback, evaluation and oversight make AI accurate, safe and worth trusting.
Every partner expert is vetted and credential-verified before an engagement begins.
The problem
Pre-training gives a model knowledge. Post-training decides how it behaves, and that depends on human judgement. Where a program can check an answer, as with maths or code, a machine can mark it. Where it cannot, as with a medical explanation, a contract clause, a poem in a regional dialect or a supply chain plan, only someone who knows the field can say what good looks like.
A reviewer outside the field cannot tell a confident answer from a correct one.
Expertise is easy to claim and slow to check, so problems surface after the work has started.
Languages, laws and customs outside the largest markets are often thin in what models learn from.
How we solve it
Expertium finds the right experts, verifies them before work begins, and runs the programme with you through staffing, consulting or both.
Match
We draw on a global network of domain specialists and match them to your field, your language and your region.
Verify
Every partner expert is vetted and credential-verified before an engagement begins, not after.
Deliver
Expert staffing places vetted partner experts on your programme. Consulting helps you design the task, the rubric and the quality checks.
Who we are
Models learn from people. After pre-training, human judgement decides how a model answers, what it declines and who it serves. We bring domain specialists into that loop, so the people shaping AI behaviour are the people who understand the field.
Teams putting AI into regulated, high-stakes work.
Teams that need domain-expert feedback and evaluation.
Programmes building AI for their own language, law and culture.
What we do
Once a model is pre-trained, its behaviour is shaped by human feedback, evaluation and oversight. Our partner experts supply that judgement.
Feedback
Experts compare and rank model outputs and explain why, so models learn what good looks like in their field.
Data
Experts write and review gold-standard prompts and responses in their own domain.
Evaluation
Experts design test sets and grade open-ended answers where automated metrics fall short.
Safety
Experts probe models for harmful, biased or unsafe behaviour and document what they find.
Language
Native speakers and regional specialists check language, culture and local norms.
Assurance
Experts review AI systems and the data behind them against your policies and the frameworks that apply to you.
How we work with you
Partner experts matched to your programme. We assemble a team of vetted experts for your domain, language and timeline, and run the programme with you.
And
Advice on designing human-data, evaluation and governance programmes that fit your model, your market and your risks.
Examples
Each programme pairs a domain expert with the right method. These are examples of the work partner experts can do.
Linguist · Poetry
A linguist who is also a poet compares model-written poems in their own language for metre, imagery and register. They flag clichés and awkward translation, and write the rubric that tells the model what good looks like in that tradition.
Method
Preference comparison and expert-written rubrics
Supply chain expert · Agents
A supply chain planner builds realistic scenarios, such as a port closure or a late supplier. They set the checks that decide whether the plan works, then review each step the agent takes to get there.
Method
Agentic task environments and step-by-step review
Physician · Medical answers
A physician scores a model’s answers for accuracy and safety against a rubric they wrote, and marks where an answer sounds confident but is wrong.
Method
Expert-written rubrics
Lawyer · Contracts
A lawyer compares two model drafts of a clause, picks the stronger one and records why, including the local points a generalist would miss.
Method
Preference comparison with a written rationale
Engineer · Verifiable checks
Where a program can check an answer, such as a calculation or a piece of code, an engineer sets the test and then audits it, so the model cannot game it.
Method
Verifiable-reward design
Auditor · Governance
An auditor tests a system and its data against the policies and frameworks the organisation answers to, and documents the evidence.
Method
Governance review and audit
Methods we work with
Experts choose the better of two answers and say why.
Experts list what a good answer must contain. The criteria then score outputs at scale, including in fields with no single right answer.
For tasks a program can check, experts define what correct means and audit the checker.
Realistic multi-step tasks with tools, where experts set the goal and review how the agent got there.
Experts probe for failures and test automated judges against their own ratings.
Native speakers and regional specialists check fluency, dialect and local norms.
Our experts
Access a network of domain specialists who partner with Expertium. Every expert is vetted and verified for credentials before an engagement begins.
Verification is complete before any partner expert starts.
We verify qualifications before anyone begins work on your programme.
Partner experts across regions, languages and disciplines, so judgement reflects the people and places your AI serves.
Our experts bring professional judgement of their own. We work with them as partners, and that judgement is what you receive.
Contact
Write to us with a short description of your model, your domain and the expertise you are looking for. We will come back to you with how our partner experts can help.
max@expertium.ai Office Suntec Tower One