Symbolic Edge Intelligence in Packed Bits

BitTrace evolves deterministic, kilobyte-scale symbolic classifiers for edge devices (often just a few KB per binary model) that run as packed-bit logic on MCUs, low-power CPUs, FPGAs, and ASICs—no floating point required.

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What BitTrace Is

BitTrace is a symbolic, packed-bit classification engine that produces deterministic models sized for edge deployment. Classifiers are evolved on GPU and delivered as tiny, explainable logic that fits inside microcontrollers and bespoke hardware.

  • Symbolic, deterministic models
  • Packed-bit computation
  • Single-digit kilobyte models for real-world binary classification
  • Edge deployment on MCUs / low-power CPUs / FPGAs / ASICs
  • Medical devices
  • No floating point

Use Cases & Requirements

Deterministic packed-bit models remove floating-point drift and keep power budgets tight, enabling reliable inference where resources and trust boundaries are constrained. Deterministic logic keeps telemetry trustworthy under radiation, reduces drift in industrial loops, and runs where floating point is unavailable.

  • Aerospace / defense edge sensing
  • Industrial monitoring
  • IoT and microcontrollers
  • Medical devices and safety-critical healthcare systems
  • Environments where deterministic behavior and low power are critical
Deterministic behavior No floating-point pipeline Low memory and power budget

Technology Highlights

High-level capabilities, summarized for partners and evaluators.

DIM embeddings

Discrete, interpretable embeddings tailored to bitwise operations, avoiding floating-point paths.

Specialist models

Compact specialists tuned for specific operating regimes to keep latency and footprint minimal.

Thresholded rejection

Deterministic reject-option logic for uncertain inputs, improving field reliability.

Referee arbitration

Bitwise arbitration between specialists to preserve determinism under ambiguous cases.

Evolutionary F1 optimization

GPU-parallel evolutionary search tuned for F1 objectives to hit balanced accuracy targets.

GPU-parallel bitwise evolution

Population updates run as packed-bit kernels, accelerating search while mirroring deployment logic.

Protection & Readiness

USPTO Provisional Patent Application 63/928,629 filed December 1, 2025 — patent pending.

Technical, licensing, or partnership inquiries

For partnership, licensing, or technical discussion, contact:

info@bittrace.ai