PUBLIC-SECTOR PILOT
AI for public work should start on your side.
TARX gives public-sector teams a private AI layer that can start locally, route to governed Supercomputer when approved, and move into agency-controlled infrastructure when required.
Public-sector AI cannot be another unmanaged surface.
Agencies and mission teams need speed, but they also need control. Sensitive context, operational data, workflows, models, tools, and decisions need policy, evidence, and deployment boundaries.
Positioning
Not AI chat. AI control infrastructure.
TARX is a private runtime, governed memory layer, routing policy engine, Vault boundary, tool/action layer, evidence trail, and deployment path from laptop to private infrastructure.
Operational environments
Built for operational environments.
TARX is designed for environments where AI needs to connect to operational context, tools, workflows, and governed decision-making. A Palantir integration should be framed around controlled context, workflow execution, evidence, and operational data boundaries - not chatbot replacement.
Capability map
Local runtime for field/user-side AI
Governed memory and context
Vault boundary for credentials and secrets
Routing policy for local vs Supercomputer vs private runtime
Tool/action layer for approved workflows
Evidence trail for sensitive actions
Developer endpoint for integration
Enterprise/Gov deployment controls
Deployment models
From local pilot to agency-controlled runtime.
01
Local-first TARX
For individuals, teams, labs, and pilots.
02
Governed Supercomputer
For approved workloads that need more power.
03
Agency-controlled runtime
For private/BYO infrastructure and stricter deployment boundaries.
Pilot offer
Run a controlled public-sector pilot.
Compliance note
TARX should not claim specific government compliance status unless validated. Hosted Supercomputer for federal agency use may require formal cloud authorization pathways. TARX can support local-first and private deployment discussions without overstating certification.
