Product
Chatbots
are not AI.
Most AI is invisible. It carries the heaviest loads inside your product, and customers only notice that everything got simpler and easier.
Customers don’t buy AI.
They buy outcomes.
We turn long workflows into one simple result.
Be where the agents are going.
People now use products from inside ChatGPT, Claude, Copilot and their own agents, not only your app. MCP is how agents get in. We make your product usable there, and safe.
Pick what agents can reach
The few actions and data that matter, not your whole API.
Build the MCP server
Sign-in, per-user permissions and rate limits, on your infrastructure.
Keep it safe
Reading and changing are kept apart, a person confirms actions, and every call is logged.
See what is used
Which agent calls turn into real outcomes, and which to build next.
- 97M+
- MCP SDK downloads a month
- ~10,000
- servers in the official registry
- 41%
- of software companies run MCP in production
Published figures from 2026: MCP SDK downloads, the official MCP Registry, and Stacklok’s software survey. Supported by OpenAI, Google, Microsoft and Anthropic.
Kept, not just tried
Most AI features spike on launch day and flatline. The ones that last sit inside the work and take seconds to check.
A margin that survives it
Priced per seat, costed per call. Four levers keep the bill small.
Illustrative: one seat, one month, the AI feature’s running cost in ink.
Automation first
Scripts do everything that doesn’t need a model.
Lean prompts
Each call carries only the context it needs.
Caching
Repeat questions are answered once, then served.
Right-sized models
Small models by default, large ones for hard cases.
Safe in front of customers
Each customer’s data stays separate, the AI says it’s AI where the law asks, and nothing ships untested.
Tenant isolation
Each customer’s data stays in its own lane, down to prompts and logs.
EU AI Act ready
People are told when they’re dealing with AI, as Article 50 requires.
Tested every release
Real cases run before each release, and a drop in quality blocks it.
Hard limits
What it may say and do is fixed in code and checked on every response.
Built to pass your security review
- SOC 2
- ISO 27001
- GDPR
- EU AI Act
How we start
- The map
Where it belongs
The moments in your product where AI takes weight off, and where it shouldn’t show up at all.
- The proof
One feature
Shipped to a slice of customers, measured on use, cost per call and accuracy.
- The rhythm
Every release
Tested on real questions, costed per call, and handed to your engineers as code they own.
Start with one feature.
Where AI should carry weight in your product, what it would cost per customer, and the first one worth shipping.
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