Most AI work fails on the data, not the model. Conduit discovers what is in your estate, profiles and classifies it, and decides what is allowed to move. Run it in your cloud, your own infrastructure, or fully disconnected.
conduit · estate scan
Discovered14 sources
postgres://crm-prod412 tables
s3://mission-archive1.2M objects
sharepoint/legal8,400 documents
oracle://legacy-hr96 tables
Classifiedtap to allow into the corpus
Policy decision9,882 records
→Vector store, RAG corpusallowed · no restrictions hit
→Analytics warehouseallowed · no restrictions hit
→External model APIallowed · no restrictions hit
→Enclave, disconnectedallowed · no restrictions hit
Illustrative figures. The decision logic is the point: policy is evaluated before data moves, not reported on after it has.
Discovery
Point it at the estate and it comes back with what is actually in there: databases, file stores, document repositories, APIs, the legacy application nobody owns any more.
Profiling and classification
Every field profiled for structure, quality, duplication and provenance, then labelled: PII, PHI, PCI, CUI, controlled technical data, or a class you define yourself.
Policy before movement
Governance that decides, not governance that reports. This data can move, this cannot, this field is masked first, this corpus excludes restricted records.
Data sovereignty
Runs where the data is allowed to live: commercial cloud, GovCloud, your own infrastructure, a secure enclave, or fully disconnected. The boundary is enforced, not promised.
It connects to what you already run rather than replacing it, and it is built to come back out again. Anything it does not do yet, we build.
Tell us what is stuck.
If it is worth building, we will tell you how we would build it and what it costs. If it is not, we will tell you that too.
We take the problems nobody else wants.
The work other vendors quote as phase two and never come back to is the work we take first. Conduit came out of doing it repeatedly, for customers whose data was too messy, too sensitive or too fragmented for anything off the shelf. We are small on purpose: the people here are who you meet, and who you keep.
The Automation Guy
Ben "The Automator" Christensen
Chief Executive Officer, Hexvar Enterprise
Builds the automation and the AI that runs on top of it. If it has to run unattended and still be defensible afterwards, this is the half of the company that makes that true.
The Infrastructure Guy
Logan Hicks
Chief Technology Officer, Hexvar Enterprise
Builds the ground it all stands on. Platforms, deployment, secure and disconnected environments, and the delivery commitments we make to customers and hold to.