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One place to manage all your AI

Give every team the models, tools and agents it needs, and always know what they cost, who uses them and what they did.

Deploy anywhere, stay independent

On cloud, in your VPC, on-prem or fully air-gapped, with the same agents and controls in each. Change models or servers later and keep everything you’ve built.

  • Your models

    Swap the model on a live agent with no rebuild. It keeps its owner, policies, Guardians and run history.

  • Your servers

    Move an agent from cloud to your own servers with nothing to rebuild. Its full definition exports.

  • Your operations

    Set a fallback for each model. On your own servers, nothing depends on an outside service.

  • Your costs

    Models and tools you host on your servers use no credits. On cloud, one credit is one US dollar.

We never sell your data or train on it. Air-gapped, nothing calls outside your network. SOC 2 Type I and II for the OS on cloud.

Account for each agent

Whoever controls your agents controls your stack. The aixplain OS answers four questions for every agent.

  1. 01Where are all our agents, and who owns each one?
  2. 02What can each one touch, and what can it spend?
  3. 03Can we switch any of them off, right now?
  4. 04Is there a record of everything it did?
Read why every agent answers to someone

Customer follow-up agent

Agent · by Maya Chen

Running
Owner
Maya Chen, Sales
Access
Sales, Customer care
Model
Claude Opus
Tools
Budget
640 of 2,000 credits this month
Off switchStops every run at onceOn

Latest runToday 09:14

Outcome
Answered
Duration
44 s
Tokens
16,040
Credits
1.20
  1. Request from Maya ChenFollow up with Tuesday’s demo attendees
  2. Planned 4 steps1,240 tokens · 0.09 credits
  3. Found 6 contacts in HubSpot0.03 credits
  4. Drafted 6 emails14,800 tokens · 0.96 credits
  5. A Guardian removed a discountPolicy: no discounts in customer emails
  6. Maya Chen approved sending09:14:38
  7. Sent 6 emails in Gmail0.12 credits

One gateway to every model, tool and key

One API key reaches 1,000+ models, tools and integrations. Bring your own MCP servers, APIs, models and provider keys, and they follow the same access and budgets. Athena sends each step to the model it needs.

  • Athena
  • Claude
  • GPT
  • Gemini
  • Qwen
  • DeepSeek
  • Mistral
  • ALLaM
  • Jais
  • Kimi
  • GLM
  • Llama
  • Gmail
  • Outlook
  • Slack
  • Microsoft Teams
  • Salesforce
  • HubSpot
  • Notion
  • GitHub
  • Postgres
  • Zendesk
  • Google Drive
  • Stripe

+ your own MCP servers, APIs and models

Set a rule once, and it reaches everyone

Every team works in its own workspace, with its groups, members and keys. Policies cascade from the workspace down, and each level adds its own limits.

In production

Governments and regulated enterprises run agents on aixplain inside their teams and in front of their customers.

Large-scale deployment · KSA · On-prem

Validation at national scale

Each case had to clear vendor, pricing, budget and policy rules, checked against many sources, structured and unstructured, so each review took hours. Now agents recommend accept, review or reject in minutes, with the policy behind each one, in Arabic, and Guardians escalate the exceptions. The organization’s own developers built the agents, and it all runs on-prem on its own servers.

Per case review, down from hours
10 min
Cases checked a year, routine ones cleared under policy
1.7M
Calls to an external cloud, fully air-gapped
0

See the OS on your own data

A 30‑minute session with a solutions architect: your spend, your policies and every run, in your own OS. Our embedded engineers deploy it by day 5 and take your first agent live by day 14.