LLM evaluation by domain experts
SoReliable AI evaluates large language model outputs with experts from your field, against a rubric built from your own quality bar.
You get item-by-item scores, the reason behind each one, and agreement measures that show how far the results can be trusted.
The problem
Fluent is not the same as correct
Language models write convincingly, so their mistakes are easy to miss. A smooth answer can leave out the one fact that matters or state something confidently that is wrong.
An evaluation is only as good as its rubric and the people applying it. Vague criteria and general raters give you numbers that move, without telling you why.
What we provide
What you get with SoReliable AI
Rubric design
We turn your quality bar into criteria that are specific, observable and applied the same way by every reviewer.Expert scoring
Specialists from your field score each output against every criterion and explain their judgment.Side-by-side comparisons
Compare model versions or prompts on the same cases, judged by the same calibrated experts.Agreement and calibration
We measure agreement between reviewers and against verified answers, and recalibrate when it slips.Edge-case catalogs
Every failure we find is written up as a reusable test case, so your evaluation set grows with your model.
An example
A contract summary that read perfectly
A model summarizes a services agreement for a busy manager.
Contract summary
- Parties
- Supplier and client
- Term
- 12 months, renews yearly
- Ending it
- Either party, at any time
- What the checks saw: The summary is clear, well structured and rated highly by a general reviewer.
- What the expert caught: A lawyer notices it says either party may end the contract at any time. The contract requires 60 days' written notice.
The rubric asked whether key obligations were stated correctly. Only someone who reads contracts for a living could check that.
Illustrative example.
How it works
We prove capability before production
- 1
Define what good looks like
We work with your team to write the rubric, including the hard and ambiguous cases.
- 2
Calibrate the experts
Experts score shared examples until they apply the rubric the same way.
- 3
Prove it on known answers
Each expert is tested on cases with verified answers before scoring your data.
- 4
Evaluate and report
You get scores, rationales, agreement measures and the failures worth fixing first.
Deliverables
What you receive
- A rubric you own
- Scores for every output and criterion
- A written rationale for each judgment
- Agreement and calibration measures
- A ranked list of failure patterns
- New test cases from every failure found
Your rubrics, data, scores and rationales stay yours.
Questions
Questions teams ask
What is LLM evaluation?
Checking a language model's outputs against a clear standard to find out how often it is right, where it fails and whether a change made it better. Expert evaluation means the people judging know the subject.
Can you build the rubric with us?
Yes. Most engagements start there. We turn your quality bar into criteria experts can apply the same way, and you keep the rubric.
How do you know the scores are reliable?
We measure how often reviewers agree with each other and with verified answers. When agreement drops, we recalibrate before scoring continues.
Do you replace automated evaluation?
No. Automated checks are fast and useful. Expert evaluation checks what they cannot, and helps you tell whether your automated judges can be trusted.
Start with one task
A pilot gives you experts proven on your hardest cases, and scores you can check, before you commit to more.
Related
- AI evaluation expertsSoReliable AI gives AI teams evaluation experts from the field the model works in. Doctors review clinical answers. Engineers review code. Lawyers review contracts.
- Expert data for RLHF and fine-tuningYour model learns from the judgments in its training data. SoReliable AI provides RLHF and fine-tuning data created by experts who know your field.
- Human evaluation for AI agentsAn AI agent can finish a task, pass the tests and still be wrong. SoReliable AI provides expert human evaluation for AI agents: specialists who review the whole run, not just the final answer.
Ready to try SoReliable?
Tell us what you are building. Any team, any project, any size. We find the specialists, train them on your standard, and evaluate the work against what your project actually needs.