XAI1 designs and builds ChatGPT-class AI for your organization — the assistant itself, the platform around it, and the GPU infrastructure underneath. Run it on our cloud, or on hardware we install and support in your building.
Most AI projects die between the demo and production. We take responsibility for the whole distance: the model, the product around it, and the compute it runs on.
An AI assistant that knows your business and answers like your best employee.
A complete, branded platform your teams and customers actually use.
Serious AI needs serious compute. Choose where it lives.
Everything we build runs identically on XAI1 Cloud and on hardware we deploy at your site — so you can start in our cloud and move in-house later, or run both at once.
| XAI1 Cloud | On-Premises by XAI1 | |
|---|---|---|
| Where it runs | Our managed GPU fleet — serverless or dedicated capacity | Your datacenter or office — a cluster we design and install |
| Data residency | Encrypted in transit and at rest; region pinning available | Data never leaves your network; air-gapped options |
| Cost model | Pay per token or GPU-hour — $0 idle, no capex | One-time build + predictable support contract — no per-token fees |
| Time to launch | Days | Weeks — including procurement, racking, networking, and burn-in |
| Scaling | Automatic, zero to thousands of GPUs | Sized to your workload; expandable by design |
| Maintenance | Fully managed, included | We monitor and maintain it — updates, health, capacity planning |
| Support | 24/7, SLA-backed | 24/7, SLA-backed, with named engineers and on-site options |
Already own GPUs? We also integrate and optimize existing hardware into the same stack.
*Illustrative pre-launch figure from internal benchmarks; methodology published at GA.
The inference platform that powers our client builds is open to every developer: deploy any open-source Hugging Face model as a production API in minutes.
You do. Model weights, fine-tuning data, prompts, and code are delivered as your property. If we part ways, everything keeps running — and your team is trained to operate it.
Yes — a conversational assistant with the same fluency, but grounded in your knowledge, speaking in your brand's voice, and bound by your rules. It cites your documents, respects user permissions, and refuses what you tell it to refuse.
Your data is never used to train anything outside your own system. For strict environments we deploy fully on-premises — including air-gapped setups where nothing touches the internet at all.
Everything: workload sizing, hardware procurement, racking, networking, the full software stack, burn-in testing, and staff training. Afterwards we monitor and maintain the cluster under a support contract — remotely or with on-site visits.
Yes. We audit your existing hardware, integrate it into the stack, and typically unlock significant extra throughput through kernel-level optimization before recommending any new purchases.
A prototype on your real data typically lands within the first two to four weeks. Full production builds run four to twelve weeks depending on scope; cloud deployments launch in days.
24/7 coverage with named engineers who know your system — not a ticket queue. Monitoring, incident response under SLA, security updates, model refreshes, and capacity planning are part of the contract.
A 30-minute call with an engineer — not a sales deck. You'll leave with an honest read on scope, timeline, and cost.