The SHARP Thesis

The Age of Sharpening: when every inference becomes learning. It's the moment AI gains agency—moving from vendor control to enterprise ownership.

Can today's AI truly learn from new information? No. Why? It needs three capabilities current systems lack: making decisions under uncertainty, discovering its own limitations, and generating error-correcting codes to modify its own structure. SHARP Machine is the first engine that enables all three.

The trillion-dollar question: as models commoditize, where do enterprises build lasting competitive advantage?

Competitive advantage shifts entirely to those whose AI learns and improves continuously from their proprietary data—creating compounding differentiation competitors cannot copy.

Every enterprise hits the same three barriers: they can't improve AI without exposing sensitive data, vendor lock-in traps them in costly systems, and retraining is slow and unsustainable.

We invented SHARP to solve this. It's the first system that equips any model with the ability to discover structural flaws, synthesize corrections, and improve continuously on your unique data.

Enterprises stop renting intelligence and start owning it. Your systems compound in value under your control—no data leaves, no lock-in, no retraining cost. The result: compounding, defensible advantage.

SHARP deploys in under two weeks. Works with any model (LLMs, vision, physics-based, proprietary). Lives where your data lives (on-prem, edge, cloud). Fits into any MLOps stack.

Our IP rests on a decade of foundational research combining statistics, cognitive science, and information theory. Protected under U.S. Copyright. Grounded in principles extremely hard to replicate.

Three revenue engines unlock $300B+ TAM: Cloud SaaS for hyperscalers. On-Prem for regulated sectors (finance, defense, healthcare). Edge SDK for autonomous systems.

Elite team: Deep Mukhopadhyay (PhD under Emanuel Parzen, IIT Gold Medalist, 30+ publications), Jerome Friedman (CART/GBM inventor, Stanford legend), David Moore (Harvard, DARPA), Kevin Johnson (ex-Microsoft/Google, 25+ years GTM).

Science de-risked. Alpha validated. 3 institutional backers secured in one quarter: Stanford StartX, NSF, U.S. Navy NavalX. Momentum accelerating.

15 enterprise interviews across defense, semiconductors, healthcare, cybersecurity, and agentic AI—all confirm the same unmet need. Pilot discussions advancing with AWS, Synopsys, JPMorgan, and DoD/Navy.

Raising $2M SAFE to productize commercial SaaS, convert 5 high-value pilots into recurring revenue, and scale engineering capacity for enterprise deployment at scale.

SHARP isn't another model or agent. It isn't middleware. It's a platform shift. Horizontal. Foundational. Inevitable.