The Semantic Dynamics Engine for Enterprise AI

Stop silent failure in long-context models. We provide the infrastructure to quantify Reasoning Decay and guarantee Semantic Stability for Gemini 1.5 and GPT-4o.

Request Pilot Access

Deterministic Control for Probabilistic Models

(CRS)

A metric that tracks the semantic velocity of your model's reasoning over time. Detect exactly when the context window becomes unstable before hallucinations occur.

Calibration

consistency and precision.

Predictive Halt

Identify acceleration in reasoning drift and automatically truncate or summarize context before the model output degrades.

Zero-Trust Infrastructure

Privacy Firewall

Integrated PII redaction engine ensures no sensitive data leaves your perimeter. GDPR and HIPAA ready architecture.

High-Velocity Telemetry

Asynchronous, non-blocking tracing pipeline built for high-scale enterprise workloads on Google Cloud Run.

Trusted by Researchers

"Tensalis gives us the first quantifiable metric for reasoning stability in long-context workflows. It allows us to benchmark Gemini 1.5 against internal standards with precision." — AI Researcher, [Partner Lab Name]