Sanket
Sanskrit: “Signal / Code”
Every failure has a name. Now you can buy the fix.
Maps your LLM's failure taxonomy — named classes, frequencies, costs — then packages corrective datasets as purchasable modules.
How it works
Baseline Failure Capture
1,000 real-world prompts run against your model. Every failure captured: hallucinations, refusals, format errors, domain gaps, reasoning breaks.
Pattern Clustering & Taxonomy
LLM clusters failures into named classes. Not "hallucination" — specific: "Class 7: Torque-Load Misattribution." Each class gets a severity score.
Failure Signal Report
20-page diagnostic: your model has 12 failure classes. Here is frequency, severity, and estimated annual cost per class.
Curated Corrective Dataset
For each failure class, domain experts annotate 200 corrective examples. Packaged as named, purchasable modules: "Class 7 Fix Pack."
Post-Fix Validation
Same 1,000 prompts re-run after fine-tuning. "Before/After" report shows elimination rates per class.
Simple, transparent pricing
Signal Report
Full diagnostic: 12–20 named failure classes with frequency, severity, and cost analysis.
Per-Class Fix Pack
200 expert-annotated corrective examples for one failure class. Stackable — buy as many classes as you need.
Signal Subscription
Bi-annual re-mapping plus drift report. Tracks how your failure surface evolves.
Request a Pilot
No long-term commitment. Results in weeks, not months.