LLM Evaluation Services for Your Business
LLM evaluation services give you a repeatable test suite for an AI feature, so you can change a prompt or model and see exactly what got better or worse. Omeiro builds benchmark sets with expected answers, then measures accuracy, latency, refusal rates and compliance against them.
How LLM evaluation works, step by step
A made-up example of one run, from start to finish. Each step is logged so you can see what happened.
- Something happens
A form, an email, a payment or a new row.
- The workflow runs
Steps you agreed, in the right order.
- Errors are caught
Failed steps retry or alert a person.
- You see what ran
A simple log of every run.
Sample Made-up names, data and steps to show how a run is logged. Your steps, tools and rules follow your business.
What you get with LLM evaluation
Rigorous benchmarking suites running automated regression tests on model changes. Tracking accuracy, latency, refusal rates, and compliance against historical ground truths.
Basic Package
Eval suite with 100 test cases for 1 AI feature, report. 5-day delivery, 1 round + 30-day fixes.
Standard Package
300 cases, accuracy/latency/refusal metrics, CI run on changes. 8-day delivery, 1 round + 30-day fixes.
Premium Package
1,000 cases, multiple models, dashboard, regression alerts, 30 days support. 13-day delivery, 1 round + 60-day fixes.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Third-party tools, API usage and hosting are billed to your own accounts, so the setup stays with your business.
How our LLM evaluation works
Define good
We agree what a correct, safe and useful answer looks like for your feature.
Collect the cases
Test cases come from your real questions and known failure modes.
Automate scoring
Metrics are computed on each run and compared with earlier results.
Wire it in
Where included, runs are triggered by code changes and results appear in a report or dashboard.
LLM evaluation: building test cases that tell you something
The value of an eval suite lives in its test cases. Cases copied only from easy demos tell you nothing, so LLM evaluation should mix typical questions, edge cases and past failures, each with an expected answer or a scoring rule. Decide early how answers are judged: exact match, a checklist, or another model grading against written criteria. Each approach has trade-offs, and we explain them when the first run is set up.
Also plan for change. Models, prompts and retrieval data all move, so the suite should be versioned and rerun on every change, building a history you can compare. Good LLM evaluation separates quality metrics from operational ones such as response time and refusal rate, since an update can improve one and damage the other. Keep a held-back set of cases that nobody tunes against, to check that improvements are real rather than overfitting.
In short
- Delivery in 5 to 13 days, by package.
- Fixed price, shown before you order.
- Teams whose chatbot quality seems to shift every time a model is updated.
- Copyright yours after full payment.
LLM Evaluation: common questions
How much does LLM evaluation cost?
Prices are fixed and shown by package on our LLM Evaluation pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does AI model evals consulting take?
Delivery depends on the package: Basic 5-day delivery; Standard 8-day delivery; Premium 13-day delivery.
What is included in the Basic Package?
The Basic Package includes: Eval suite with 100 test cases for 1 AI feature, report. Higher packages add more scope, revisions and support.
Can I get a custom automated LLM testing package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
How many test cases do I need?
A hundred well-chosen cases will already show clear patterns, and larger sets give finer confidence.
Can you test more than one model?
Premium compares multiple models on the same cases.
Do I need to supply the test data?
Examples of real user questions help most. We can also draft cases for you to approve.
What happens when a test fails?
Alerts on Premium, and CI results on Standard, show which cases regressed so you can fix or roll back.
What is the difference between LLM evaluation and public benchmarks?
Public benchmarks measure general ability, while an eval suite measures your own feature on your own questions. The second is what tells you whether a prompt or model change is safe to ship.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your LLM evaluation?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.