One place to manage all your AI

Create workspaces, and set the rules, budgets and access for every agent, model and tool.

Talk to our team

Deploy anywhere, even air-gapped

On cloud, in your VPC, on-prem or fully air-gapped, with the same agents and controls in each.

Your models

ALLaM
Jais
Local models

Your data and integrations

+600

OSOn your servers, air-gapped, or on cloud

Control plane

Organization workspace

Members and roles
Policies
Budget
Approvals

Usage this monthWithin budget

FinanceAgentsSkillsKnowledge
Customer careAgentsSkillsKnowledge
ITAgentsSkillsKnowledge

GuardiansCheck every input, step and output
DashboardEvery run, step by step, with cost
Audit logWho did what, under which policy

Your people

OperatorsOneHand work to an agent
DevelopersOneBuild agents and apps

Your customers

AppMobile app
ChatWhatsApp
WebWebsite chat

Served by your agents, as secure APIs

01A developer in IT builds an invoice skill in aixplain One02The skill is shared with the Finance workspace03A Finance operator runs it in aixplain One04Policy check: in-country models only05The agent calls ALLaM06This month’s usage goes up, within budget07The run is recorded in the audit log

Live in 14 days
Our embedded engineers deploy the OS by day 5 and take your first agent live by day 14.
Your data stays yours
We never sell your data or train on it. Air-gapped, nothing calls outside your network.
Audited
SOC 2 Type I and II for the OS on cloud. On your servers, your own controls apply.

Account for each agent

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

01Where are all our agents, and who owns each one?
02What can each one touch, and what can it spend?
03Can we switch any of them off, right now?
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

Request from Maya ChenFollow up with Tuesday’s demo attendees
Planned 4 steps1,240 tokens · 0.09 credits
Found 6 contacts in HubSpot0.03 credits
Drafted 6 emails14,800 tokens · 0.96 credits
A Guardian removed a discountPolicy: no discounts in customer emails
Maya Chen approved sending09:14:38
Sent 6 emails in Gmail0.12 credits

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.

Workspace
Ardavell
Models
In-country only
Budget
450,000 credits a month
Groups
6, from Engineering to Leadership
Its own agents, assets, keys, credits and members. Nothing in it is visible from another workspace.
Group
Finance
Models
In-country onlyFrom workspace
Budget
50,000 credits a month
Can use
Invoice check agent, Qwen
The agents, models and tools a team may use, and a budget its members share.
Member
Lina Park
Models
In-country onlyFrom workspace
Group
Finance
Own limit
8,000 credits a month
A limit of their own that applies first.
API key
invoice-app
Models
In-country onlyFrom workspace
Credits
2,000 a month
Requests
600 an hour
Request, token and credit limits on every key. Admin keys set the limits on the others.

Keep your independence

Use the models and servers that make sense today, and change them tomorrow without losing the agents and controls 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.

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

Media · UAE180Sources watched every day

Leadership briefed before the day starts

Agents watch multimodal Arabic and English coverage, alert on what matters and send the daily report, with audio.

~12 h Of analyst work a day, done by agents

Telecom · Syria12M+Subscribers on the national network it serves

An Arabic-first assistant at national scale

A general-purpose assistant for a national operator's subscribers.

Read the announcement

Software · US and KSA<24 hTo put a new model live

AI features reach customers 50% faster

Data stays in the region, and new models go live with no downtime.

50% Faster AI feature rollout0 Downtime during model updatesRead the case study

Language services · Europe70%Less manual research time

Official EU terms, found for every text

Agents find the term the EU adopted for each concept, so translators research less and get specialized texts right more often.

25% Higher accuracy on specialized texts

Explore the platform

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.

Talk to our team Send your security questionnaire