Jacob Westerbeck × Jeff Spetalnick — 2008
"The insight waited for the right problem."
PCF maps raw sequences into dynamic multi-dimensional coordinate spaces. Real-time token streams are processed mathematically inside CPU-native pipelines, eliminating the overhead of deep neural models.
Our hardware-integrated pipeline providing instant, secure structural inference. Purpose-built on top of the PCF engine to power low-latency enterprise environments.
Open consensus architecture for agent networks.
Verifiable semantic handshakes built to align distributed consensus without centralized trust vectors. Handled natively inside Web Agent Federation clusters.
Eliminates central model lock-in by securing structured consensus targets dynamically. Two active IETF drafts on the Datatracker.
Executes private coordinate alignment across isolated databases without sharing user sequences.
Local matching without tracking telemetry.
Xact replaces third-party server profiles. User interest vectors stay isolated in on-device secure enclaves. Campaign catalogs distribute position-matched targets privately via CPU-native checks.
Breaking scaling curves without training overhead.
Refinery intercepts traditional LLM entropy slopes. Our custom algorithm achieves a perplexity regime that standard setups require up to 10× more training compute to solve.
Measuring model drift in latent worlds.
Extending positional scoring to JEPA latent sequence dynamics. We filter predictions inside latent steps, drastically reducing cumulative sequence MSE.