Find out whether the AI system works before your customers do.
Independent evaluation suites, batch scoring, A/B tests and red-teaming for agents and generative systems, whoever built them.
The problem
Most AI systems ship with a demo as their only test. Evaluation means writing down what a correct answer is, collecting cases that cover the real distribution, scoring at scale and repeating every time the model or prompt changes.
We build that, from golden datasets to automated judges and trace-driven scoring, and we attack the system with the failure modes that matter for your domain.
What we deliver
- Evaluation case design and golden dataset
- Automated scoring: rule-based, model-as-judge and human review mix
- Batch and A/B evaluation across models and prompts
- Red-team report with reproducible findings
- Regression suite your team runs on every change
- Independent assessment of a third-party system before purchase
How we work
Define
What correct means, with your domain experts. Cases that cover the real distribution, including the awkward ones.
Score
Automated judges calibrated against human review, run at scale across models and prompts.
Attack
Red-team against a threat model: injection, tool abuse, leakage, degradation under load.
Keep
A regression suite and a cadence so evaluation happens every time something changes.
What backs it
Common questions
Can you evaluate a vendor's product?
Yes, with their cooperation on access. An independent evaluation before purchase is one of the most common requests we get.
How long does it take?
Two to four weeks for a first evaluation suite and red-team on one system.
Do you use AgentCore Evaluations?
When the system runs on AWS, yes; otherwise we use the equivalent tooling on your platform or our own harness.
Related services
Talk to an engineer about this
Thirty minutes, no slides. Bring the workload and we will tell you what we would do and what it would cost.