Knowledge base with RAG
The agent answers from your documents
Upload PDF, DOCX, TXT and Markdown, and the platform indexes and chunks them for semantic search. The agent retrieves the relevant passage and answers from it instead of inventing one. Knowledge bases are shared across agents or isolated per case.
For whoever has the knowledge written down and scattered.
Connectivity through MCP
The agent acts, it does not only talk
Connections to CRM, databases, email, storage and your own APIs through MCP, REST and webhooks, with six authentication methods. It is the same protocol we use on the streaming projects, so what gets wired here is not lost later.
For whoever needs the agent to do something, not to reply.
Several models, one place
The model is picked per use case
Models from OpenAI, Anthropic, Google and Groq, swappable without rewriting the agent. The higher plans include real-time cost tracking, and the self-hosted edition takes your own models through vLLM and Ollama.
For whoever does not want to be tied to one model vendor.
Deployment and security
On their cloud or yours
As a managed service, or self-hosted on AWS, Azure, Google Cloud and Oracle Cloud. Role-based access control at company and agent level, CSRF protection, per-IP rate limiting and encryption in transit and at rest. GDPR compliant and SOC 2 ready.
For whoever has data that cannot leave their own infrastructure.