Enterprise
AI that never
leaves your network.
Every employee gets a local SuperComputer. No data exfiltration. No vendor lock-in. No per-seat inference bill. Idle hardware earns revenue back via mesh rev-share.
The math doesn't lie.
OpenAI at $1B revenue = $1B in GPU spend. TARX at $1B revenue = $200M GPU spend. The other $800M is margin.
Other AI vendors
- ✕Pay per token, per employee, per month
- ✕Your data routes through their servers
- ✕Costs scale with every query
- ✕Internet required, always
- ✕They train on your conversations
TARX Enterprise
- ✓Flat per-seat SaaS. No inference overage. Ever.
- ✓Data never leaves your hardware
- ✓1M queries or 1 query — same cost
- ✓Works offline, air-gapped, on-premise
- ✓Idle hardware earns rev-share via mesh
Two deployment models.
Distributed Fleet
10–500 seats
Every employee runs TARX locally on their machine. Inference happens on their hardware. Optional mesh contribution — idle GPU earns the company revenue via Stripe rev-share.
On-Premise SuperComputer
500+ seats / regulated
TARX runs on your servers. Employees connect to your internal fleet. Your hardware, your model, your data center. Zero cloud dependency. API-compatible with your existing tooling.
TARX QUANTUM FOR ENTERPRISE
Quantum-class optimization.
On your hardware.
TARX Quantum runs the same REST API as your AI inference — same endpoint, same auth, different solver. Quantum-class optimization for NP-hard problems, without quantum hardware costs.
FINANCIAL SERVICES
Portfolio optimization
QUBO solver for binary asset allocation. QSVM for non-linear fraud classification. Classical compute can't solve these at scale.
POST /api/solve {"solver":"qubo"}LOGISTICS & SUPPLY CHAIN
Route optimization
QAOA handles combinatorial routing problems that grow exponentially. 1,000 stops solved in under 2 seconds.
POST /api/solve {"solver":"qaoa"}SECURITY & COMPLIANCE
Post-quantum ready
QRNG for true quantum entropy in key generation. Grover's search for adversarial pattern detection. Air-gapped deployment available.
POST /api/solve {"solver":"grover"}# Same API. Quantum or AI.
client = OpenAI(base_url="https://tarx.acme-corp.com/v1", api_key="tarx_...")
# AI inference
client.chat.completions.create(model="tarx-qwen2.5-7b"...)
# Quantum optimization
client.chat.completions.create(model="tarx-qaoa"...)
Built for industries that can't afford leaks.
Finance. Healthcare. Legal. Defense. If your data is regulated, TARX is the only architecturally acceptable option.
Financial Services
- Trade data never leaves the firm
- Compliance workflows enforced locally
- Meets SEC, FINRA data requirements
- AI research with zero data exposure
Healthcare
- PHI stays on your infrastructure
- HIPAA-aligned by architecture
- Clinical documentation locally
- No BAA needed — no cloud touch
Legal & Government
- Privileged comms never hit cloud
- Air-gapped deployment available
- FedRAMP-aligned architecture
- Full audit log, stored locally
One line migration.
OpenAI-compatible API. Point your existing code at your TARX fleet. Zero application changes.
# Before
client = OpenAI(
base_url="https://api.openai.com/v1",
api_key="sk-..."
)
# After — your fleet
client = OpenAI(
base_url="https://tarx.acme-corp.com/v1",
api_key="tarx_..."
)