Agent-native SaaS.
Make your SaaS usable to its full capability from inside every LLM.
A growing slice of every workflow now starts with an LLM, not a person opening a tab. SaaS built around a UI is a poor fit for that world - affordances are visual, state is implicit, the API is an afterthought. We transform the product you've already built into one Claude, ChatGPT, Gemini and the agents on top of them can drive on a customer's behalf - so the people who pay you can use your product to its full capability, easily and seamlessly, from inside the tool they already work in all day. Step one is the MCP: a production server built against the official spec, with OAuth, per-customer scoping, redaction and audit your enterprise buyers will sign off. Step two, when the business case is there, is the headless rebuild: a clean core, deterministic state, tool and resource specs (MCP and OpenAPI) generated from one source of truth, and a UI that becomes one consumer among many. Same team, same engagement, same release cadence.
What you walk away with.
- Your customers using your product to its full capability from inside Claude, ChatGPT, Gemini and the next agent they adopt
- A defensive moat in the agent-driven channel before a competitor's MCP becomes the default
- Per-customer scoping, redaction and audit your enterprise buyers will sign off
- A headless core agents can drive end-to-end, with deterministic, idempotent operations
- Tool, resource and event specs versioned alongside your release process
What we ship.
- MCP server built against the official spec, deployed at your domain
- OAuth or partner-key auth wired into your existing identity and permission model
- Redaction and policy layer at the MCP boundary (PII, secrets, dangerous calls)
- Conformance suite that runs against Claude, ChatGPT and Gemini on every release
- Agent-first architecture review and ranked migration plan from the current UI-centric stack
- Headless core: domain primitives, state machine, event log (when the rebuild is in scope)
- Tool specs (MCP + OpenAPI) generated from a single source of truth
- Reference agent - a working LLM client that drives the product end-to-end
How the engagement runs.
- 01
Surface map & audit
We sit with your product team and decide which operations an agent should run on a customer's behalf - read paths, write paths, things that need a human in the loop. In parallel we map the gap between today's surface and what an agent actually needs: where state is implicit, where operations aren't idempotent, where the UI is doing work the API can't. Output is a tool inventory you can ship and a ranked rebuild plan, not a manifesto.
- 02
Ship the MCP
Production MCP built against the official spec, deployed at your domain. Auth, per-customer scoping, redaction and audit ship in the first release. Conformance tested against Claude, ChatGPT and Gemini before a single customer touches it. Soft launch with a design-partner cohort, then opened up.
- 03
Rebuild headless (when it's time)
Headless core built behind a stable contract. Tool and resource specs generated from the domain model. The reference agent proves the surface works before any UI work is touched. The current product migrates onto the new core in slices - no big-bang rewrite, each slice ships independently. The UI becomes a client of the same API the agents use.
Let’sbuildyoursystemnext.
Thirty minutes with someone who’d be doing the work. No slide deck, no intake form. We’ll tell you what’s feasible, where you’ll hit friction, and what we’d pick up first.