Esmé SX provides an edge‑executed control platform that verifies physiological and multimodal signals at the frame level, cryptographically binding provenance before any inference occurs. Its Savant AI continuously performs neuroadaptive state estimation, while Adaptive Affinity AI™ translates these states into deterministic, policy‑bound actuation enforced by an Intent Layer, delivering ultra‑low latency, auditable behavior for regulated, safety‑critical human‑machine interfaces.
Funding
Funding not disclosed
Founders
Product
Problem
Current human‑machine systems often rely on cloud‑based inference and unverified sensor data, leading to latency, susceptibility to spoofing, model drift, and unpredictable execution in regulated or safety‑critical environments.
Solution
Esmé SX delivers an edge‑executed control platform that verifies physiological and multimodal signals at the frame level before any inference occurs. Its LUMEX™ layer cryptographically binds signal provenance, while Savant AI continuously performs neuroadaptive state estimation. Adaptive Affinity AI™ translates these states into deterministic, policy‑bound actuation, and the Intent Layer enforces execution constraints in real time. By collapsing probabilistic variance into a coherent, auditable state signal, the system provides ultra‑low latency, reproducible behavior without dependence on cloud connectivity, making it suitable for regulated and safety‑critical applications.
Target Audience
Primary customers are developers and operators of regulated, safety‑critical human‑machine interfaces such as medical devices, industrial automation, autonomous vehicles, and secure authentication systems.
Features
- Frame‑level signal verification and cryptographic provenance binding to eliminate false positives and prevent spoofing
- Continuous neuroadaptive state inference using Savant AI for quantitative human state estimation
- Adaptive Affinity AI™ that converts inferred states into deterministic, policy‑controlled actuation at the edge
- Intent Layer that enforces execution constraints and ensures compliance with domain‑specific regulations
- Modular Savant Agents that drive domain‑specific actions within bounded, policy‑controlled environments
- Edge‑native architecture delivering ultra‑low latency interaction independent of network conditions
- Auditable coherence metrics that resist model drift and provide reproducible, traceable outcomes