DOSSIER / 02 — APPROACH

Beyond the Chatbot. The Era of Quantum Algorithmic AI.

The market has confused novelty wrappers with infrastructure. We engineer the opposite: private, fine-tuned inference layers that sit inside the enterprise — accountable, owned, and instrumented.

THE STATUS QUO

Most companies rent public AI. That is a liability.

01Proprietary data is exfiltrated to third-party model providers with each call.
02Latency is dictated by an external vendor's queue depth.
03Costs scale linearly with usage — there is no operational moat.
04Compliance posture (HIPAA, attorney-client, fiduciary) is permanently fragile.

THE WYATT PETERSON METHOD

Localized swarms. Internal hardware. Absolute data sovereignty.

01Fine-tuned models deployed on hardware you own and physically control.
02Sub-second inference, instrumented against contractual SLAs.
03Fixed capital cost. Marginal inference cost approaches zero at scale.
04Zero egress. Discovery-defensible. Audit-chain native.

FEATURED WHITE PAPER

WP-002 · 24 PAGES · PDF

AUTHOR · WYATT PETERSON

The Hidden Stratum: What the Market Doesn't Understand About Real AI Implementation.

A structural breakdown of why API-bound AI deployments fail at the enterprise tier — and the four-layer architecture that replaces them. Written for operators, general counsel, and CIOs evaluating production AI beyond the demo phase.

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