Your provider accounts
Connect the model providers you already use and pay directly.
BYOK
A BYOK AI platform: your keys, your rates, your model choice
Most AI platforms resell you inference at a markup and decide which model you get. Nonilion is a BYOK AI platform — you connect the provider accounts you already have, and agent work routes through your keys. You keep your negotiated rates, your data processing terms, and the ability to pick a different model for each kind of task.
What does BYOK mean for an AI platform?
BYOK — bring your own key — means the platform runs model requests through your own provider API keys instead of reselling inference. Your usage is billed directly by the provider at your rates, under your data terms, and you choose which models the platform may use.
Why the markup model works against you
When a platform resells inference, its margin depends on your token usage, and its model menu depends on its own contracts. That misaligns incentives on exactly the two dimensions you care about — cost and model quality. BYOK removes the middle layer.
- Provider bills you directly at your own rates.
- No per-token platform margin on top of inference.
- Model availability is not gated by the platform's contracts.
- Switching providers does not mean switching workspaces.
Your data terms stay yours
Running through your own provider account means the data processing agreement that applies is the one you already signed. For teams with procurement or compliance requirements, that is usually simpler to clear than adding a reseller into the chain.
Match the model to the task
Cheap models are fine for routine classification and formatting; hard reasoning deserves a frontier model. With your own keys you can assign models per task and control spend where it does not affect quality, rather than paying one blended rate for everything.
Start free, add keys when it matters
There is a free tier so you can evaluate rooms and agents before wiring anything up. Connect your keys when you are ready to run heavier agent workloads, and keep using the same workspace.
What you get
Per-task model choice
Assign different models to different kinds of agent work.
No inference markup
The platform does not resell tokens on top of your usage.
Your data terms
Requests run under the agreement you already have with the provider.
Central key management
Keys are stored once and shared across the agents that need them.
No lock-in
Change providers without changing where your team works.
Frequently asked questions
How are my API keys stored?
Keys are held in a dedicated provider configuration store rather than being scattered across features, so a key is added once and the agents that need it draw from that single record.
Does BYOK mean I pay twice — platform and provider?
You pay the provider for inference at your own rates and the platform for the workspace. What you avoid is a per-token margin layered on top of inference, which is usually where reseller pricing gets expensive at volume.
Which providers can I connect?
The platform is built around connecting your own provider accounts and selecting models per task. Check the integrations page for the current list, since it grows over time.
What if I do not have provider keys yet?
Start on the free tier to evaluate the workspace, then add keys when you are ready to run heavier agent workloads.
Can different team members use different keys?
Provider configuration is managed centrally so agents draw from the keys your team has connected, which keeps spend visible in one place rather than spread across individual accounts.
Related capabilities
An agentic AI platform where agents actually finish the work
An agentic AI platform is software that lets AI agents pursue goals autonomously instead of answering one prompt at a time. It gives agents tools, memory, and permission boundaries so they can plan a task, execute multiple steps, recover from errors, and hand back a finished result.
An AI coding agent that works the task and opens the pull request
An AI coding agent is a system that completes software tasks autonomously rather than suggesting single lines. It explores a repository, plans a change, edits multiple files, runs tests, and submits the result for human review — operating over a whole task instead of one keystroke.
AI agents for teams that share your context, not just your prompts
AI agents for teams are shared autonomous assistants that operate on a team's collective context rather than one person's chat history. They hold defined responsibilities, access shared knowledge and tools, and deliver output into a common workspace so the whole team benefits from the same work.
Multi-agent collaboration with shared context and one audit trail
Multi-agent collaboration is an architecture where several specialized AI agents work on one objective, each handling part of the problem and sharing context with the others. It improves reliability by narrowing each agent's scope and allowing agents to check or build on each other's output.
Connect your provider keys
Free to start. Add your own keys whenever you want to scale up.
