Atheon builds scoped AI models (SAMs) that are trained on an enterprise's proprietary data and run entirely behind its firewall, eliminating data leakage and vendor lock-in. The models are physically pruned to a single domain, with dormant weights and attention heads removed to prevent hallucinations outside the trained scope. Deployable as a standalone file on local servers, VPCs, or edge devices, each build ships with an SBOM and activation-map audit log for deterministic, auditable operation.
Funding
Funding not disclosed
Founders
Product
Problem
General-purpose AI models require sending proprietary data to external inference endpoints or cloud APIs, creating risks of data leakage, vendor lock-in, and uncontrollable model behavior. Enterprises in regulated industries need AI that operates on their own infrastructure, but existing off-the-shelf models are bloated, unfocused, and incapable of guaranteeing that they will not generate outputs outside their intended domain.
Solution
Atheon provides Scoped AI Models (SAMs) that are compiled directly from an enterprise's production data, such as agent traces, support logs, and telemetry, into a standalone model file. The process maps which neural pathways actually fire for the customer's specific workload, then structurally prunes dormant weights, attention heads, and experts, leaving only the pathways necessary for the target scope. The remaining pathways are tuned on verified scoped data, resulting in a model that is physically incapable of hallucinating outside its domain. The final artifact is an independent model that runs with fixed weights, no external endpoints, and no telemetry, deployable on local servers, VPCs, or edge laptops.
Target Audience
Primary customers are enterprises in field operations, industrial manufacturing, defense, national security, and healthcare that require AI running in air-gapped, restricted, or highly regulated environments without external data transmission.
Features
- Structural pruning removes dormant weights, attention heads, and experts to create a model that is physically constrained to its trained domain
- Activation profiling identifies which neural pathways are relevant to the customer's workload before pruning
- Zero telemetry design with no phone-home calls, license pings, or external inference endpoints
- Fixed weights and deterministic outputs with no silent updates or version drift
- Standalone SAM file deployable on local servers, company VPCs, or edge laptops for field operations
- Every build ships with a Software Bill of Materials (SBOM) and activation-map audit log