Infrastructure for AI agents
Purpose-built for reasoning, memory, and tool use. Designed for the AI era.
Core capabilities, powered by AI
Every module is powered by LLMs that reason, decide, and act on your behalf.
Modular Architecture
AI agents that scale through composable, independent blocks.
No surprises. No hidden limits.
Choose the right plan for you and your team
Everything you need to know
Common questions about setup and AI agents
How does the AI agent setup process work?
Agents begin with a goal. You define the trigger, add reasoning steps, and the underlying LLM handles decisions along the way. Everything is built to feel natural. You focus on the outcome, and the model figures out execution.
Can I integrate my existing tools or APIs?
Yes. Any service that supports REST or webhooks can be connected. Most teams start by linking tools they already use, then extend with custom endpoints as their system evolves.
How does the model decide which actions to trigger?
You set the goals and guardrails. The LLM evaluates context, reasons through your options, and acts within the boundaries you define. You stay in control of the logic. The model handles the reasoning inside it.
Which models do you support?
The platform is model-flexible and works with frontier LLMs and leading open-source models. You can route different agents to different models based on cost, latency, or capability.