Datasets of real work.
Reliable agents need more than generic intelligence. They need the decisions, exceptions, handoffs, and judgment behind how work actually gets done. That data is rarely captured in clean form. Specific turns real company data into the foundation for dependable, domain-grounded agents.
Backed by
Real-SWE
Benchmarking frontier AI models on private, real-world, enterprise codebases.
Each task comes from a private production codebase that we licensed from a real-world company. These are problems their engineers work on, with all the context and complexity that comes with an existing product.
Leaderboard
Resolution rate (%) · Higher is better
Resolution rate is equivalent to pass@1, averaged over eight independent runs per task.