AI customer support.Built around your business,, under your full control.
With our in-house reasoning and function calling, the ceiling runs higher than off-the-shelf bots - without a single flowchart. The models are ours: they won't be deprecated or swapped from under you, and data never goes to cloud LLMs.
No migration off your current tools - connects to Intercom and others.
Where today's AI support automation hits a wall
High deflection is easy to promise. Making it real, explainable, and durable is where most tools break down.
Brittleness
Scenario bots are hundreds of flowcharts you build and forever rework. Real jumps between questions still aren't covered, and anything complex falls back to a human.
Black box
AI on its own is opaque - you can't explain why it answered the way it did. So you can't put it where the cost of an error is high.
Data leakage
Data handed to a cloud model is a potential leak: providers can train their models on your data and your customer conversations.
Dependency
A cloud provider can update or switch off a model overnight - and the change in behavior forces you to re-tune your AI agents from scratch.
Automation that runs higher - under your control
No flowcharts
The AI picks the answer or action by situation instead of walking a scenario tree. Nothing to build, debug, or rework when the product changes - just add your knowledge base and we package it.
Reasoning you tune
Every reasoning step - prompts, temperature, function calls - is dialed in for you. That's why the ceiling is higher than bots without flexible tuning.
Function calling
The AI acts in your systems - check a balance, an order status, open a ticket - through functions you write. Safely, with no direct access to your databases or CRM.
Transparency, quality, and why you can trust it
Privacy
Data never leaves for third parties - the models are ours, not the cloud giants', and nothing goes to train theirs.
Transparency via Sandbox
Inspect exactly why the AI answered: which knowledge chunks it used, whether a function was called, why it handed off. No black box.
Permanence
The model won't be updated or switched off from under you. Your automation doesn't depend on someone else's release plan.
JudgeLLM
Objective quality scoring on your criteria - for both AI and human agents, across chat and calls.
refunds_policy.md, sla.mdget_order_status("A-4821") → shippedProven with the scale
Paying customers in production.
Live in a week, no migration
"No migration" is a claim - here's what it looks like, step by step.
Connect
We connect to your existing chat and you upload your knowledge base. You don't change processes or move software.
Pilot
One conversation segment. If it doesn't work out, you lost nothing.
Expand
New segments, action functions in your systems, and call scoring with JudgeLLM - across text and voice.
Transparent: a base subscription + tokens
No hidden implementation fees. You pay for platform access plus usage.
Base monthly subscription
A flat monthly fee for platform access.
Usage-based tokens
You pay only for the tokens you consume.
Models in your perimeter
Discussed individually, sized to your infrastructure.
Run a pilot on your chat
We pick one conversation segment together and fix success criteria up front. No rip-and-replace.
- One conversation segment on your current chat - chosen together.
- If it doesn't work out, you changed nothing and lost nothing.
- For regulated industries - models run inside your perimeter from day one.
Notes on AI support, reasoning, and control
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Read moreWhy We Don't Bet Your Support Operation on Someone Else's API: Self-Hosted AI for Customer Support
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