Model Evaluation and Red-Teaming by Expert Practitioners

Custom Evaluations and
Red-Teaming for AI
Models.

Public benchmarks tell you almost nothing about how your model will behave on your customer's actual tasks. We design custom evaluations - gold sets, adversarial tests, real-world scenario suites - that measure the behavior you actually care about.

What We Build

01 / 05

Custom Gold Sets

Task suites scoped to your domain, with reference solutions and acceptance criteria.

02 / 05

Adversarial Test Suites

Failure-mode hunting across reasoning, code generation, tool use, and instruction-following.

03 / 05

Multi-Step Task Evaluations

For agents, with success criteria measured at the trajectory level.

04 / 05

Human Evaluation Runs

Senior engineers grading model output against rubrics you define.

05 / 05

Continuous Evaluation Pipelines

Set up the harness once, run on every model checkpoint.

Red-Teaming Services

Code Safety Code-safety red-teaming

Code-safety red-teaming

(malicious code generation, prompt injection in code).

Reasoning

Reasoning red-teaming

(logical traps, multi-step deception, false confidence).

Domain-Specific Domain-specific red-teaming

Domain-specific red-teaming

(finance, security, infrastructure).

Release Ready Release-Ready Reporting

Release-Ready Reporting

Reporting in formats that fit your model release process.

Who runs the work

Senior engineers and domain specialists, not annotation crowds. Every evaluation rubric and red-team finding is reviewed by a senior calibrator before it goes back to the client.

6+Years avg. production experience

100%Senior calibrator sign-off on output

0AI-first or crowdsourced drafts

Request a sample evaluation design.

Tell us what behavior you're measuring and we'll send a 1-page eval design with sample tasks within 5 business days.

Custom Evaluations and Red-Teaming for AI Models.