// BENCHMARKS
Creating a Platform that Enables Companies to Build.
Benchmarks are structured evaluations made up of scenarios (individual test cases) that measure how well an AI agent performs on given tasks.
Features
Discover the tools that make building and testing easier.
Standardized Evaluation
Consistently measure AI agent performance across multiple tasks and scenarios.
Customizable Scenarios
Consistently measure AI agent performance across multiple tasks and scenarios.
Actionable Scoring
Design benchmarks tailored to your unique workflows, domains, or edge cases.
Comparative Insights
Track results over time and compare agents against industry or internal baselines.
Automated Runs
Easily execute scenarios with built-in environment setup and result collection.
Scalable Testing
Evaluate small experiments or large suites of scenarios with the same framework.
Benchmark Types
Run industry-standard benchmarks or create custom ones to measure what matters most
Public Benchmark
Evaluate your agents against ready-made, industry-standard datasets to quickly measure baseline performance.
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Custom Benchmark
Validate your agents with standard datasets or design tailored evaluations for your needs.
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// CASE STUDY
The Evolution to Verification
Fermatix.ai, renowned for creating expert-level training data tailored to industry-critical tasks, with annotators who are practicing industry experts, partnered with Runloop.ai to strategically evolve their offering.
Challenge
Fermatix.ai needed a way to move beyond providing one-time training data to establishing
ongoing testing standards and verification for their enterprise clients, ensuring AI agent
performance against specific proprietary logic.
Solution: Runloop Custom Benchmarks
By leveraging Runloop.ai’s Custom Benchmarks infrastructure, Fermatix.ai is now able to offer custom, in-house verification for its clients. This allows them to build specialized, private benchmarks that accurately measure and refine AI agents on unique codebases and business logic.
This partnership... represents a strategic evolution—moving beyond one-time data labeling to creating reusable benchmarks that deliver ongoing value to our clients. By leveraging our domain expertise and Runloop’s infrastructure, we’re not just providing data anymore; we’re building the testing standards that will define how enterprises evaluate their AI agents across industry-critical tasks
—Sergey Anchutin, CEO and Founder, Fermatix.ai
Outcome
Fermatix.ai strategically expanded its capabilities, using its domain expertise to create high-fidelity, multilingual benchmarks on a secure, scalable platform. They are now positioned to offer a new level of assurance and become the verification layer for their clients' AI agent deployments.
