Go from no AI to AI that builds its own agents.
Describe what you need, and Auxot builds AI agents through conversation — no expertise required.
(In tech terms: self-hosted, runs on your hardware, not someone else's cloud.)
The roles you've been meaning to fill.
Every business has work that keeps slipping — the research no one has time for, the follow-ups that fall through cracks, the tasks you keep meaning to hire someone for. Those are the first things your agents handle.
An agent that reads your last two quarters and flags where margins are slipping. One that monitors your deploy pipeline and pings the DevOps lead when releases are stacking up. Another that cross-checks your pricing tiers against what competitors just published. They can do this because they have your actual business files.
You give each agent context files — plain-English documents like your brand voice, your processes, what an agent should never say. Each agent only sees the files you tag to it.
Your credentials. Your permissions. Their guardrails.
Every agent uses your access level. If you can see the sales dashboard, your agent can too. If you can't, neither can it. Scope what each agent knows at three levels:
You decide who knows what.
(In tech terms: per-user execution context with credential scoping at org, department, and user level.)
They don't just do tasks — they run your processes.
Define the steps, choose who handles each one — an agent, a model, or a person — and set the rules for when work moves forward. Your agents move work through each stage as they finish. When something needs a human decision, they flag it and wait. Otherwise, they keep going.
Check the dashboard when you want a pulse, or don't. The work doesn't stop either way.
You manage the process. They do the work.
(In tech terms: multi-stage workflows with agent-driven state transitions and human-in-the-loop escalation.)
You design the guardrails.
You choose who on your team gets AI, which AI models they can use, and whether work runs on your hardware, in the cloud, or both. You set limits per person, per role, per type of work — so one person's batch job doesn't drown everyone else's agents.
When ten people are running agents at the same time and your hardware is full, nothing breaks. Work lines up. Urgent tasks jump the queue. Big jobs wait their turn. And if capacity is truly maxed, you decide: spill the overflow to the cloud, or hold everything in line until there's room. That's your call, not the system's.
No agent can act outside of what you built it to do. No request skips the rules. You see every job, every agent, every provider — all in one place.
You set the rules. Your agents follow them.
(For your IT team: one binary, Postgres + Redis, OpenAI-compatible APIs, works completely offline. Existing tools — Cursor, Claude Code, anything that speaks the standard — just work.)
Your data never has to leave your building.
Auxot can run entirely on your hardware. Your conversations, your context files, your agents' work — nothing has to leave your servers. If you use your own GPUs, the whole system runs without touching the cloud at all. No data is sent anywhere you didn't choose.
This isn't "private mode" on someone else's infrastructure. There is no someone else. The software runs on machines you own, in a building you control, behind a firewall you manage.
For businesses that handle sensitive data — client records, financials, health information, legal documents — this is the difference between "we use AI" and "we use AI safely." Your compliance team will thank you.
Your hardware. Your data. Your call.
(In tech terms: fully self-hosted, air-gap capable with local GPUs, zero telemetry.)
Send this page to your IT team. They'll have it running before lunch.
Pick a plan and go.
Build agents, connect your own models, run it all on your hardware.
Everything in Free, plus unlimited users under one organization — one umbrella, no per-seat limits.
Multiple departments, department-level agents, and granular controls. Different rules for different groups, all under one roof.
Advanced audit logging, SSO, custom SLAs, and dedicated support. Built for the compliance and scale needs of large organizations.