We build the AI hub that runs your company.
Our team designs it around how your company actually decides, deploys it inside your perimeter, and runs it for your people. Open-source at the core. Owned by your enterprise.
› close the books for the cycle
→ /financerouting…
reads · ERP · Accounting (read-only)
drafting cycle close
ships → Slack · Email
What the hub is, layer by layer.
Existing surfaces, no new login.
Telegram, Slack, WhatsApp, web dashboard, in-app buttons, email, Claude Code, IDE. The hub plugs in behind whichever surface a role already uses. No standalone product to roll out.
Role-scoped, three interaction modes.
Tools that run on demand, Q&A that holds the institutional voice, Background workers that ship overnight digests. Each agent carries a memory file, a named owner on your team, and an explicit escalation boundary.
Versioned structured knowledge.
Markdown artifacts that capture decision logic, policy thresholds, ownership maps, escalation routing, vendor terms. Versioned in git, refreshed by utility agents, read by every role-scoped agent at inference time.
Read-only by default. MCP-wired.
ERP, POS, drives, chats, accounting. Wired as MCP servers, read-only on deployment. Write access opt-in, audited, reversible. Your stack stays primary; the hub composes on top.
An open stack. Built on proven layers.
White-label chat surface that operators see. Customer brand, customer domain, customer SSO. The interactive surface for Q&A and Tool agents.
Translates between the operator surface and the agent runtime. Exposes /v1/chat/completions and /v1/models endpoints so any OpenAI-compatible client can plug in.
Either the OpenAI Agents SDK or the Claude Agent SDK, chosen per the customer's model contract. Same orchestration shape either way. Handles sub-agents, tools, handoffs, and MCP server connections to the customer's existing systems.
Routes prompts to whichever model the customer has contracts with: Anthropic, OpenAI, OpenRouter, Bedrock, Vertex. Provider-agnostic by design; no lock-in to a single LLM vendor.
BUILT ON OPEN STANDARDS
What it looks like in production.
Real questions from operators, real answers from agents, pulled from real engagements. Specifics changed for confidentiality; the shape is preserved.
What it looks like in production.
Real questions from operators, real answers from agents, pulled from real engagements. Specifics changed for confidentiality; the shape is preserved.