Standard systems wait for a full response, then try to filter the damage after the fact. LogitScore continuously calibrates the inference stream itself, catching uncertainty spikes before an unsafe response is executed.
In enterprise SaaS, a hallucination is an embarrassing answer. In robotics or real-time control, a confident guess is a crash. Post-hoc API guardrails wait for a hallucinated response to finish, route it to a second checker, and only then decide whether to block it. That extra 500ms+ of network and policy latency is dead-on-arrival for physical systems.
LogitScore runs inside the inference path. By monitoring thermodynamic token entropy at the silicon level, it can answer, route, or actively defer in microseconds. If uncertainty crosses policy—for example, if entropy > 0.80: HALT_AND_DEFER—the runtime stops execution before the unsafe token is detokenized or a robotic action is taken.
Before deploying to industrial robotics, we proved the LogitScore runtime in the most latency-sensitive environment on earth: competitive gaming telemetry.
Buddy is not the company story—it is the proving ground. In live competitive play, Buddy processes millions of high-speed gaming events, analyzes noisy telemetry in real time, and uses LogitScore to decide whether to coach immediately or actively defer back to the human when the signal is ambiguous.
Buddy detects a stable flaw and delivers surgical coaching immediately.
> Crosshair placement is consistently low at B main.
> Route: direct coaching.
> Entry-frag success dropped sharply.
> Buddy does not guess.
> “Did you change your agent today?”
The same runtime primitives proven in high-speed gaming now power our SDK story for defense, industrial robotics, and embedded hardware integrators.
Runs locally on NVIDIA Jetson, ARM, and specialized NPUs so sensitive workloads stay on-device, deterministic, and resilient in zero-trust environments.
Fuses live camera sensor data with local semantic reasoning without leaving the device, making confidence-aware physical AI possible under tight power and latency budgets.
Developers can encode strict threshold logic directly into the runtime—for example, if entropy > 0.80: HALT_AND_DEFER—to guarantee predictable routing under uncertainty.