Pick any AI model. Keep the same conversation.
One thread across 9 providers — switch from GPT to Claude to a local Ollama model mid-conversation and nothing resets. Then turn what works into an agent your whole team can use.
One conversation
Nothing resets when you switch
We just shipped the integration you've been asking for. It connects in under a minute and starts working with your existing setup immediately — no migration, no re-training your team. Try it today and tell us what breaks.
9
Model providers
One login, real router
1
Click to roll back
Every publish is a version
5
Deployment surfaces
Workspace, Slack, Teams, web, API
10
Interface languages
Including Kiswahili & Arabic
Every provider, one login
Akili is a real router, not a vendor's chatbot with a rebrand. It connects to all of these today:
- OpenAI
- Anthropic
- Azure AI Foundry
- xAI
- Mistral
- Perplexity
- OpenRouter
- Ollama(local)
Smart routing can pick the cheapest model that clears your quality floor automatically — with savings labeled as estimates against always using the premium model, not claimed as measured.
Agents are the part your team actually shares
Chat is personal. Agents are organizational — a working prompt, grounded in the right knowledge, deployed where people already are.
Define it once
Instructions, model preference, attached knowledge bases, tools, and personality — one agent definition your whole org can share.
Version it like software
Every publish is a version. A bad prompt change rolls back in one click — no digging through history, no 'who edited this' archaeology.
Deploy it anywhere
The same agent runs in the workspace, as a Slack bot, as a Teams bot, or embedded on your website — with an inbox to review its conversations.
Also in the box
- Voice chat — talk to it, hear it answer, with per-plan daily minutes.
- Projects — group related chats with shared instructions and a default knowledge base.
- Memory — persistent facts about you that carry across sessions, with admin governance for orgs.
- Chat organization — folders, tags, branching and forking, sharing via token links, export.
- Web search — plan-limited live queries when the answer isn't in your knowledge.
FAQ
Chat and agent questions
Short answers, nothing hiding in a footnote.
Yes — that's the part worth trying first. Ask a question, read the answer, then swap to a different provider and ask a follow-up. The thread carries over and nothing resets. That one interaction is most of what makes multi-model chat different from having three browser tabs open.
It can pick the cheapest model that clears your quality floor automatically. Savings are labeled as estimates against always using the premium model — not claimed as measured.
Five things: instructions (the system prompt), a model preference, attached knowledge bases with citations enforced, tools such as web search and MCP-backed connectors, and a personality so five people deploying it get one consistent voice.
Editing never mutates what users are already talking to. Every publish creates a version, the new version goes live when you publish it, and rolling back to any prior version is one click. Treat prompt changes the way you treat deploys, because that's what they are.
In the workspace as the default chat surface, as a Slack or Microsoft Teams bot (Team plans include five deployments of each), embedded on your own site as a webchat widget, or through the API with a generated key on Pro and up.
Deployed agents get an inbox — a review surface for the conversations your agent is having, so you can see where it shines and where its instructions need work.
Five on Free, 25 on Pro, 50 on Starter, and unlimited on Max, Team, Business, and Enterprise.
Build your first agent in an afternoon
Define it once, publish it as a version, and put it where your team already talks.