// BENCHMARKS
Introducing Custom Benchmarks By Runloop
Evaluate AI coding agents with precision using Runloop's Public Benchmarks. Our platform offers standardized performance metrics that help developers and researchers assess capabilities across different tasks and domains.
Use Cases
Turn your domain expertise into automated, high-margin AI verification standards across critical industry tasks.
// 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.
