The Mythos Platform

5 technology pillars protecting Pre-Inference and Inference Recycling. 234 independent claims filed USPTO 2025. The infrastructure for AI that remembers.

From Disposable to Reusable

Traditional inference strategies still require a new semantic reasoning pass, even when the same reasoning has already been performed. Mythos changes that.

Traditional AI

Caches inputs or outputs, but not reasoning. Every query requires a new semantic reasoning pass. Exponential costs.

Pre-Inference + Inference Recycling

Stores reasoning itself as reusable artifacts. Retrieves instead of recomputes. 75% cost reduction.

5 Technology Pillars

234 independent claims. 3,612 dependent claims. 152+ embodiments. Filed USPTO 2025.

01

OBELISK

Inference Recycling & Semantic Vector Space

The core architecture for storing, indexing, and retrieving reasoning artifacts. Universal Shard Vector Space (USVS) enables compositional assembly of machine-readable reasoning graphs.

02

BONSAI

Creator Attribution & Digital Rights

Provenance and attribution for reasoning artifacts. Secure licensing and compensation for knowledge creators. DRM for the age of AI.

03

TITANIUM

Post-Quantum Cryptographic Attestation

Future-proof security for reasoning artifacts. Cryptographic attestation that survives quantum computing threats.

04

JUMPSTART

Agent State Continuity & Preservation

Persistent memory for AI agents. State preservation across sessions, contexts, and deployments. Agents that remember.

05

GAMEPUMP

Ecological Sustainability & Social Training

Incentive structures for sustainable AI. Energy tracking, carbon accounting, and social training mechanisms for responsible compute.

What Makes Mythos Different

Core technical innovations that enable the inferential computing paradigm.

Geometric Composition

Knowledge shards compose geometrically, enabling instant answers through spatial relationships rather than sequential computation.

Intrinsic Security

Security isn't a layer - it's woven into the fabric of every knowledge shard. Access controls travel with the data.

Instant Execution

Pre-computed knowledge means answers are retrieved, not generated. Milliseconds instead of seconds.

Demand Reduction

Don't scale supply to meet demand. Reduce demand itself by eliminating redundant inference.

Edge-Native

Knowledge shards are lightweight and portable. Deploy intelligence at the edge without massive compute.

Knowledge Interoperability

Shards from different domains compose seamlessly. Universal format enables cross-domain intelligence.

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