Built to solve
a real problem.
A Delaware C-Corp building trust-mediated AI infrastructure. Conduit is the first product — a context broker that eliminates the carrying cost of AI memory at arbitrary corpus scale, with cryptographic proof of every source.
Context intelligence layer. Routes the right sources to the right query with an auditable trail. Runs local or cloud. Public and enterprise tiers.
Free, open-source. Desktop widget and Python middleware. Ship the public-tier reduction honestly. MIT.
Public numbers, sealed mechanism.
What ships publicly is calibrated to 40–50% reduction. That's the honest number on real workloads, with a public algorithm you can read and run. It is deliberately below the ceiling.
Enterprise, Gov, and Partner tiers deliver what's sealed. The gap is not a marketing construct; it is an architectural boundary. Provisionals filed. Primitives held outside the operating entity.
FROM CONTEXT, FROM TRAINING, FABRICATED. Each output is labeled and sealed at the source. The model cannot hide where its answer came from.
Public benchmarks on real corpora, not cherry-picked enwik8-style runs. Percentage claims match the algorithm we publish.
C-Corp ships products. Separate IP entity holds primitives under license. Foundational research stays sealed. No leak paths into commercial deal structures.
Values-aligned partnership is a first-class goal, not an afterthought. Infrastructure we build today should be worth running a decade from now.