
Evaluations & Deterministic AI
AI You Can Test Before You Trust
A demo that works is not a system that works. We build evaluation sets from your real cases, score models and prompts against them on every change, and move high-stakes steps out of free-form generation into deterministic logic: schemas, validators, rules and approval gates. The model does what it is good at, and the parts that must not vary are not left to it.
Eval-based
Release gate
Rule-bound
Critical steps
Every change
Regression checks
Per response
Traceability
Use Cases by Industry
Fixed decision rules for eligibility with the model handling only language and extraction
Claim-checking steps that must produce the same result for the same file
Tender and application scoring with a documented rationale for every score
Test sets for clinical summarization that are reviewed by domain experts
How It Works
Define 'Correct'
Agree with your experts on what a good answer is, and what a failure costs.
Build the Test Set
Collect real and edge-case examples with expected outcomes.
Add Guardrails
Use schemas, validators and rule engines for steps that need identical results.
Gate & Monitor
Block releases that fail evaluation and track drift in production.
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BringUsOneWorkflowThatNeedsFixing
Send us a process, a dataset or a customer journey. In a 30-minute call we will tell you whether AI is the right tool, what it would take, and what we would build first.