Data Handling

LOMX 1.0 employs a lightweight, privacy first data system designed to ensure speed, security, and zero retention beyond active sessions.

Data Flow Pipeline

User Microphone → Voice Stream Capture → Pre-Processing → NLP Engine → Response Rendering → Temporary Cache → Output Stream

Temporary Cache System

  • Each user session generates an ephemeral data container (unique session ID).

  • Stored data includes only:

    • Voice waveform fragments

    • Tokenized text of last 3 sentences (max 30 seconds)

    • AI response waveform buffer

  • Cache auto-purges within 60 seconds of session end.

Database & Privacy

  • No permanent storage of user voice or text data.

  • Transient session logs exist only for optimization (non-identifiable).

  • Metadata (like latency, connection quality) is anonymized.

  • Infrastructure uses AES-256 encryption for temporary buffers.

  • LOMX 1.0 operates under zero-retention compliance nothing persists beyond the live connection.

Data Path Integrity

  • Redundant verification layer ensures transmission accuracy:

    (Guarantees the integrity of input/output data streams within ±0.1% error tolerance.)

  • δ=Σ(∣Si​n−So​ut∣)/n<0.001δ=Σ(∣Si​n−So​ut∣)/n<0.001

Load Management

Real-time routing engine allocates session requests dynamically:

  • Balancer monitors CPU & GPU load across all inference clusters.

  • Average per-request GPU time: 12–18ms

  • Automatic reroute if node latency exceeds 300ms threshold.

Logging & Debugging

Only system-level logs (no user content) are retained:

  • Timestamps

  • Session ID

  • Processing duration

  • Latency metrics These are automatically cleared every 24 hours for performance analytics.

PreviousTechnical OverviewNextSummary

Last updated