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.)
Build a workforce of specialists.
Each specialist owns one role and goes deep. They're the hires you've been meaning to make. You give each one a job description, the tools to do it, and the files for its role: your financials for a Strategist, your runbooks for an Operations agent, your brand book for Marketing.
The Strategist reads those financials and drafts the strategy memo for next quarter. The Operations agent watches your deploy pipeline and tells DevOps when releases stack up. The Marketing agent cross-checks your pricing against what competitors just published.
Each agent inherits your access — if you can see the sales dashboard, so can yours, and if you can't, neither can it. You scope what each one knows at three levels:
Your credentials. Your permissions. Their guardrails.
(In tech terms: per-agent system prompts, tool policies, context file injection, and credential scoping at org, department, and user level.)
Capture the institutional knowledge inside your people's heads.
Most companies run on tribal knowledge, the kind where only one or two people carry. Put all that institutional knowledge into a context file and your agents work from the same playbook your best people do. When that person retires, the knowledge stays within the company, where it should be.
Your people leave. Their knowledge doesn't.
(In tech terms: a context file gets configured into authorized agents. Your agents are only as good as the knowledge you put in them, and this is how that knowledge becomes a permanent company asset.)
They don't just do tasks — they run your workflows.
Define a workflow: the steps, who handles each one — an agent, a model, or a person — and the rules for when work moves between them. 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 workflow doesn't stop either way.
You manage the workflow. 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.)
How do we use AI without leaking client data, IP, or PHI?
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.