78%
average inference cost reduction
The AI model layer for teams that ship
Route every task to the right model. Stress-test every benchmark before you publish. One platform, two capabilities.
For Engineering Teams
Stop overpaying for AI
Most coding tasks don't need a frontier model. Furiwake classifies each task and routes it to the optimal model — cutting costs without cutting quality.
Interactive Demo
Cost Calculator
Estimate your savings from intelligent model routing.
Task Mix
Current
$12.4K
/ month
With Furiwake
$4.8K
/ month
Before: all frontier
After: intelligent routing
Estimated monthly savings
$7.6K
61% reduction in inference spend
For AI Labs
Your benchmarks are more fragile than you think
Hidden annotation pipeline settings can flip model rankings entirely. Rensei stress-tests your benchmarks so you can publish with confidence.
Interactive Demo
Ranking Inversion
Drag the slider to change evaluation strictness and watch the model rankings shift.
Built on peer-reviewed methodology at a top-tier NLP venue
Explore the methodologyWhy both? Because they make each other better.
Routing decisions are only as good as the benchmarks that validate them. Benchmarks are only useful if they reflect real workloads.
Classifies tasks and selects the optimal model. Every decision generates performance data that feeds back into evaluation.
Stress-tests benchmarks against hundreds of configurations. Validated results calibrate routing decisions continuously.
Classifies tasks and selects the optimal model, generating performance data.
Stress-tests benchmarks and sends validated quality signals back.
This feedback loop is why Furiwake improves continuously — and why using both together delivers more than either alone.