Generic benchmarks don’t reflect your business reality. What matters is knowing exactly which tasks your agents can perform reliably , so you can delegate with confidence and measure ROI for evaluating, testing, and optimizing your AI agents with advanced capabilities.
Our SaaS platform goes beyond abstract scores. We evaluate your agents on detailed, organization-specific tasks the ones that actually drive value in your workflows. With clear insight into what works (and what doesn’t), you can act with certainty.
Control risk by spotting weak spots before they impact clients
Cut costs by delegating tasks you can trust 100%
Scale confidently by aligning AI to your business metrics
Identify failure modes and safety gaps with task-level evidence so issues get fixed before they touch clients.
Delegate tasks you can trust 100%. Validate accuracy, reliability, and handoff criteria per workflow to reduce manual load.
Evidence over assumptions. Replace guesswork with measurable acceptance thresholds.
Align AI performance to your business metrics not generic benchmarks so outcomes track to revenue, margin, and SLA goals.
Measure the exact tasks that matter to your org and turn results into decisions with transparent, reproducible evidence.
Profitable agents aren’t built on irrelevant benchmarks they’re built on evidence-based evaluation tied to your company’s bottom line.
Watch how teams use Norma to build better AI experiences
Build complex conversation flows that mirror real user interactions with your AI agents.
Get comprehensive insights with LLM-powered scoring and actionable feedback for improvement.
Seamlessly integrate with your development workflow for continuous quality assurance.
Everything you need to ensure your AI agents deliver consistent, reliable performance in production environments
We extract the most relevant data from user interactions and system outputs, enabling precise evaluation of key data points in multi-agent workflows.
We assess classification tasks both as final outputs and as intermediary steps such as intent recognition or Guardrail activations to ensure agent behavior aligns with expectations.
We use LLMs to generate insights, justifications, and scores, enabling detection of hallucinations and assessment of output quality in generated text.
We extract the most relevant data from user interactions and system outputs, enabling precise evaluation of key data points in multi-agent workflows.
LevelApp is an open framework for evaluating AI assistants configuration to insights with community-driven features, transparent development, and an MIT license.
pip install levelapp
Joined by a growing community of contributors.
Explore the code, open issues, and roadmap on GitHub. Your feedback and PRs are welcome.
From configuration to insights, see how Norma streamlines your AI evaluation process
Set up your API endpoints and authentication in minutes
Get detailed insights and actionable feedback from LLM judges
Join hundreds of teams already using Norma to build better AI experiences. We’re actively seeking partners, SaaS clients, and open-source contributors.
Strategic partnerships for mutual growth
Enterprise solutions for AI evaluation
Open-source community collaboration