Products
What We Build
Two tightly integrated product lines addressing the most critical bottleneck in frontier model development.
AI Inhouse Benchmark
Measure what academic benchmarks cannot.
We build and maintain a proprietary evaluation infrastructure designed to measure whether a model actually works in the real world. Our benchmarks are constructed around three governing principles: High Production Value, Environmental Realism via Digital Twin, and Frontier-Level Challenge. Every evaluation environment is designed to reflect the standards of professional …
Key Features
- ▸ High production value evaluation environments
- ▸ Digital twin realism for operational contexts
- ▸ Frontier-level challenge calibration
- ▸ Long-horizon evaluation chains
- ▸ Hard metric validation
Post-Training Environment Solutions
From evaluation insight to training infrastructure.
We translate evaluation insight directly into training infrastructure — enabling frontier labs and model developers to close capability gaps with precision rather than brute-force scaling. Our inhouse benchmark suite serves as a diagnostic instrument. By rigorously mapping where and how current SOTA models fail, we generate a precise capability map …
Key Features
- ▸ Failure-to-insight translation
- ▸ Expert-led environment synthesis
- ▸ Synthetic data optimization
- ▸ Scalable, auditable data pipelines
- ▸ Client-aligned delivery