[ service 02 — converse ]
A bot that actually knows your business.
A chatbot is only as good as what it knows and what it refuses to make up. We build assistants grounded in your real documents, products, and policies using retrieval — so answers cite your content instead of hallucinating. Web chat, voice, WhatsApp, or inside your product: same brain, wherever your customers are.
[ what we build ]
Retrieval-grounded answers
Your docs, FAQs, and product data embedded and searched per question, so the bot answers from facts — with sources — not vibes.
Support deflection & handoff
The repetitive 70% of tickets answered instantly; the hard 30% escalated to a human with full conversation context attached.
Lead capture & qualification
Visitors qualified in conversation and booked straight onto your calendar — the widget on this site is the live demo.
Voice interfaces
Speech-to-speech assistants for web and phone, with latency budgets treated as a feature, not an afterthought.
Evals before launch
A test suite of real questions with graded answers, run on every prompt change — so quality is measured, not guessed.
[ typical stack ]
[ timeline ]
Typical engagement: 2–4 weeks to a production widget with evals and analytics.
[ straight answers ]
Will it make things up?
Every bot we ship is grounded in retrieved content and instructed to say "I don't know — here's a human" rather than guess. We test that behavior explicitly with adversarial evals before launch.
Which model do you use?
Whichever fits the job and budget — Claude, Grok, or open-weight models. The architecture keeps the model swappable, so you're never married to one vendor's pricing.
Can it live inside our existing product?
Yes — it ships as an embeddable widget, an API, or a component inside your codebase. You get the source either way.
Have a ai chatbots problem in mind? Let's scope it.