- Build AI workflows for agents, coding, analysis, and more with open models
- Private by default
- Use hardware you already own
- Built-in memory management for your device
- Model recommendations tailored to your device
- OpenAI-compatible API
- Desktop GUI
Pricing
Free teams and Cloud plans.
Everything in Solo, plus:
- Public URL to access your local AI from anywhere
- Add unlimited devices you own
- Invite 1 team member
- Run larger, smarter models with multi-device inference
- Run more models at a time
- Zero data retention
- No usage limits, no token costs
- Burst to cloud as needed
Community Cloud
Burst into the Community Cloud when you need to
From
$2/ mo
- Up to 3x bonus credits
- Half the cost of cloud APIs per token
- Save on token pricing with Aquaduck's Community Cloud
- Optionally offset token prices by contributing your idle compute
Need help? Contact support at team@aquaduck.ai
For enterprise.
Coming soon
Schedule a demoEnterprise
Custom
Turn your organization's devices into a private intelligence network.
- Private deployment within the enterprise environment
- Single sign-on (SSO)
- Centralized billing and audit trails
- Multi-device management
- Role-based access controls
- Priority support
Questions?Answered.
Local AI is private by default. When running models across devices, Aquaduck encrypts data in transit and keeps sensitive account and billing information off connected devices. For organizations with stricter requirements, private Aquaduck deployments can run entirely on company-owned hardware.
Teams is free to create. The team administrator invites members. Community Cloud usage is billed to the account that manages the requesting API key.
Aquaduck turns idle compute into a single intelligence network. Contributors earn from sharing idle compute, while builders burst into it as needed. Contributing is optional. Specialized hardware is not required, and most personal computers are eligible to contribute. It's a new approach to AI inference that aligns everyone who helps power the network.
Aquaduck monitors network health, balances devices, and manages recovery automatically. Devices that go offline are removed from routing within seconds, and workers reconnect after network interruptions. If a device drops during an in-flight request, the request fails fast so it can be retried immediately.
