Eval

LLM Evaluation Platform

Rigorous, reproducible evaluation at scale. Test trajectories, responses, and model behavior without managing infrastructure.

Serverless evaluation infrastructure for rigorous, reproducible LLM testing

The problem

Evaluation shouldn't require infrastructure

Running rigorous LLM evaluations at scale means managing compute, ensuring reproducibility, and integrating with CI/CD. Most teams either skip evaluation or do it poorly.

Infrastructure burden

Running evaluations at scale requires significant compute and engineering resources. You end up building infrastructure instead of improving models.

Reproducibility problems

Ad-hoc evaluation scripts produce inconsistent, unreproducible results. When something changes, you can't tell if it's the model or the evaluation.

Model comparison is hard

Comparing models across benchmarks requires careful methodology. Apples-to-apples comparison is harder than it looks.

CI/CD gaps

Continuous evaluation should be part of your deployment pipeline, but integrating evaluation into CI/CD is painful.

"Submit evaluation jobs and get results. No infrastructure to manage."

Capabilities

Serverless evaluation at scale

Submit evaluation jobs via API. Get rigorous, reproducible results. Focus on improving models, not managing infrastructure.

Serverless runs

Submit evaluation jobs and get results. Eval handles compute, parallelization, and result aggregation. No infrastructure to manage.

Trajectory evaluation

Evaluate multi-turn conversations and agent trajectories. Assess reasoning chains, tool usage, and decision quality.

Response evaluation

Assess individual responses against custom criteria. Define your own scoring functions or use pre-built evaluators.

Model comparison

Side-by-side dashboards to compare model performance. Understand tradeoffs between quality, latency, and cost.

CI/CD integration

GitHub Actions, GitLab CI, and webhook integrations. Run evaluations on every commit, PR, or deployment.

Custom evaluators

Define your own evaluation criteria and scoring functions. Bring domain-specific knowledge to your evaluations.

How it works

From test cases to results

Eval handles the infrastructure so you can focus on defining what matters.

01

Define

Create evaluation specs with your test cases, criteria, and scoring functions.

02

Submit

Upload evaluation jobs via API or CI/CD integration. Queue jobs for immediate or scheduled execution.

03

Run

Eval executes evaluations on serverless infrastructure. Parallel execution for fast results.

04

Analyze

Review results in dashboards and export reports. Track trends over time.

Open source

Built on rotalabs-eval

Eval is the enterprise version of our open-source LLM evaluation framework. Define evaluations locally, run at scale on Eval.

View on GitHub →
Pricing

Plans for every scale

Pay-as-you-go

$0.10/eval

Basic evaluation with no commitment. For occasional testing and experimentation.

Pro

$500/month

10K evaluations, scheduled runs, dashboards. For continuous evaluation workflows.

Enterprise

Custom

Unlimited evaluations, dedicated compute, CI/CD integrations, custom SLA.

Get started

See Eval in action

Schedule a personalized demo with our team.