HyperCLI Self-Hosted
The whole platform.
Inside your walls.
The entire HyperCLI suite — open-weight models, agent orchestration, inference gateway, GPU scheduling — running on your infrastructure. Your hardware, your network, your rules.
Starting at $20,000/mo · Unlimited agents · No per-token pricing, ever
The meter is gone. For good.
One platform fee, your own compute. A thousand agents running around the clock costs the same as ten. Your AI budget becomes a line item, not a variable you explain to finance every quarter.
Nothing leaves your network.
Prompts, outputs, memory, embeddings — all of it stays on your hardware, with air-gapped deployment available. And because the models are open-weight, there's no lock-in to escape: if you ever leave, the weights stay. Closed labs structurally can't offer either.
Build AI like you build software.
Not a vendor's chatbot in your sidebar — a factory floor. Every team gets agents, every workflow becomes automatable, and the models themselves learn your business: fine-tune on your own data, on your own GPUs.
What's in the box.
Everything cloud customers get — deployed by our engineers, run by yours.
Open-weight models, in-house — Kimi K2.6, K3, and Qwen embeddings + TTS running on your GPUs, with our serving stack and update pipeline
Fine-tuning pipeline — tune models on your own data, on your own hardware; your fine-tunes never leave and are yours to keep
Agent orchestration — the full pod system: always-on agents with browser, voice, media, memory, and channels
Inference gateway — OpenAI- and Anthropic-compatible endpoints for every internal team and existing app
GPU scheduling — the same job system from our cloud, pointed at your cluster: containers, queues, observability
Fleet administration — scoped keys, budgets, workspaces with roles, audit logs, SSO/SAML
White-glove deployment — our engineers stand it up with yours; a named engineer stays on your account
The software factory.
The question stops being "which AI vendor?" and becomes "what should we build this week?" — with models that get better at your business the longer you run them.
Engineering
Agents that triage incidents, review PRs, and watch deployments — on repos that never leave your network.
Operations
Back-office automation with full audit trails — claims, invoices, compliance checks, on internal systems.
Product
Ship AI features on your own inference — no per-user token math wrecking your unit economics. Tune the model to your domain and it's a moat, not a vendor bill.
The math your CFO will do anyway.
Enterprises running serious agent workloads on metered APIs routinely clear $100K+/month — and the bill grows with success. Building this platform internally is a 10-engineer, 18-month project. Self-hosted HyperCLI is neither.
Runs where you run.
Your cloud VPC
AWS, GCP, Azure — inside your account, your IAM, your VPC.
Your datacenter
On-prem on your GPU cluster, integrated with your stack.
Air-gapped
Fully disconnected deployment for regulated and sovereign environments.
Own the factory, not just the output.
A working pilot on your hardware in 30 days. Talk to an engineer, not a sales deck.