Preserve Identity
Compress Everything
HELIX stores only what defines uniqueness. AI regenerates the rest. Up to 2-5x semantic compression with identity preservation.
What is HELIX?
A multimodal semantic compression and regeneration system. A new file format (.hlx) that stores identity-critical information and structural constraints rather than raw data.
Not an AI Model
HELIX is a representation system, compiler, and constraint engine. It controls AI, doesn't replace it.
The .hlx Format
A compiled specification for regeneration, not a media container. Stores instructions, not content.
AI as Executor
External AI models serve as deterministic regenerators under strict constraint supervision.
Entropy Separation
Compression by discarding predictable entropy, not by squeezing bits harder.
❌ Traditional Compression
- • Stores all data with pattern-based reduction
- • Decoder reconstructs mechanically
- • Limited by signal redundancy
- • Asymptotic compression limits
✓ HELIX Compression
- • Stores only identity + structure
- • Decoder regenerates intelligently
- • Limited by semantic predictability
- • Leverages model priors, not just patterns
How HELIX Works
Two pipelines transform media into compact blueprints and back.
Encoding
Media → .hlxEstablish canonical representation
Find identity-bearing regions
Isolate irreducible features
Encode geometric relationships
Define absolute invariants
Serialize encrypted blueprint
Materialization
.hlx → MediaVerify integrity and hashes
Prepare Gemini with constraints
AI generates within bounds
Ensure identity preservation
Key insight: Anchors are stitched exactly — AI only regenerates the predictable background.
System Modules
Each module plays a critical role in the HELIX pipeline. Click to explore.
HLX Codec
hlx_codec.py
AES-256-GCM encryption + HMAC-SHA256 signing. Binary format only HELIX can read.
The codec ensures that .hlx files are completely proprietary. Any attempt to modify the file triggers a HLXTamperingError on load.
Anchor Extractor
gemini_anchors.py
Gemini-powered identity extraction with 0.85 confidence threshold.
Uses multi-model cascade (Gemini 2.0 → 1.5 Flash) for robustness. Extracts hierarchical anchors.
Mesh Builder
mesh_builder.py
Constructs structural relationships: distances, angles, ratios.
Encodes geometric constraints without storing content. Prevents AI from warping proportions.
Blueprint Validator
blueprint_validator.py
Enforces schema integrity before materialization.
Checks schema version compatibility, verifies anchor hashes, detects freedom field conflicts.
Materializer
materializer.py
Multi-layer regeneration: stitching, enhancement layers, optional AI refinement.
First stitches anchor crops onto canvas, then applies deterministic enhancement layers (sharpening, contrast, denoising). Optional Gemini AI refinement when API available.
Verification Loop
verification.py
Post-generation validation ensuring identity preservation.
Re-detects anchors in output image, compares positions to originals. Allows <2% position drift.
How HELIX Works
Semantic compression that preserves meaning, not pixels
Try HELIX
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