TARX for enterprise
Private AI control for real work.
Give your team AI that can work across computers, files, tools, memory, and approved models without losing control of data, secrets, or execution. Start local. Govern memory. Route compute by policy. Keep evidence.
For teams evaluating private AI, local-first deployment, model governance, and controlled Supercomputer access.
The problem
AI is entering the work environment faster than companies can govern it.
Employees need AI close to files, tools, code, and decisions. Security teams need control over memory, credentials, model routing, data movement, and audit evidence. TARX is the runtime layer between personal AI and enterprise control.
What TARX controls
Control memory. Protect secrets. Govern tools. Route compute. Keep evidence.
Memory
Decide what AI is allowed to remember, where it applies, and who can change it.
Vault
Keep credentials, keys, passwords, tokens, and sensitive secrets out of ordinary memory.
Tools
Define which systems AI can touch, which actions need approval, and what gets recorded.
Routing
Keep work local by default, then route to hosted or private compute only when policy allows it.
Evidence
Preserve the route, tool, policy, and execution context needed to explain what happened.
Deployment paths
Start on employee Computers. Route more power only when approved.
TARX does not require a rip-and-replace cloud migration. It gives buyers a path from local-first pilot to hosted Supercomputer, private runtime, or existing provider agreements.
Local-first pilot
Deploy TARX on employee computers for private AI workflows close to files, tools, code, and decisions.
Hosted Supercomputer
Use TARX-managed compute for heavier work with visible routing, permission, and hosted key controls.
Private runtime
Run TARX inside a customer trust boundary for teams with stricter data, routing, and support requirements.
BYO providers
Keep approved model and provider agreements while TARX manages runtime policy, routing, and evidence.
Use cases
Where enterprise buyers start.
The first conversation should be about control outcomes, not a generic seat plan.
Private AI pilot
Give teams local-first AI without sending every workflow to a hosted assistant.
Developer runtime
Let engineers build against one contract across local, hosted, and private execution.
AI governance layer
Control memory, tools, credentials, routing, and evidence in one reviewable system.
Field or operations workflows
Use AI where work already happens, with approved integrations and auditable actions.
Regulated deployment
Support security review, procurement, scoped rollout, and private infrastructure paths.
Security and governance
The review starts with boundaries.
TARX should be evaluated through memory policy, Vault boundary, tool permissions, compute routes, evidence requirements, and existing provider agreements. Compliance claims should be represented only when formally complete.
Readiness matrix
Separate what is available from what is pilot-ready.
Enterprise buyers need a clear line between working product, guided pilot support, and roadmap items.
Available now
- +Computer-first TARX app route
- +Vault boundary for credentials and secrets
- +Hosted Supercomputer key provisioning
- +Route and usage evidence contracts
- +Enterprise inquiry and deployment review intake
Pilot-ready
- +Workflow and data-boundary review
- +Policy and route design
- +Private runtime architecture walkthrough
- +Usage and evidence export review
- +Procurement and security questionnaire support
Roadmap / in progress
- +Fleet policy console
- +SSO and SCIM provisioning
- +Enterprise audit dashboard
- +Private Supercomputer capacity packaging
- +Customer-owned deployment automation
Packaging
Enterprise should be sold as a walkthrough, not a self-serve seat chart.
Pilot, Business, and Enterprise packaging should be scoped by workflows, deployment boundary, compute route, support load, and procurement requirements.
5-25 users
Pilot
For teams evaluating private AI workflows. Includes local runtime, onboarding, basic admin review, and deployment walkthrough.
Department rollout
Business
For teams expanding TARX across departments. Includes governed memory, team context, policy controls, hosted Supercomputer access, and support.
Private control
Enterprise
For private runtime, BYO provider agreements, SSO/SCIM planning, audit evidence, procurement, and dedicated deployment support.
Pricing should move through sales until admin, billing, support, and private deployment packaging are fully ready.
FAQ
Answer the buyer objections first.
Is TARX Enterprise a seat-pricing page?
No. Enterprise TARX is a deployment and control conversation first. Packaging depends on pilot scope, compute route, support needs, and private infrastructure requirements.
Can we keep existing model agreements?
Yes. TARX can sit beside approved providers as the runtime, routing, policy, and evidence layer instead of forcing a replacement on day one.
Does every workflow use hosted Supercomputer?
No. TARX starts on employee Computers. Hosted or private Supercomputer routes are for work that needs more power and has approval to leave the local route.
What should security review first?
Start with memory policy, Vault boundaries, tool permissions, route policy, evidence needs, and the workflows where employees already use AI.
Contact
Book the deployment walkthrough.
Bring the workflows, data boundaries, provider agreements, security review questions, and deployment constraints. TARX will map the first controlled rollout.