A bot that actually knows your business.
We build assistants that retrieve information from your documents, products, and policies. Answers can include sources, and questions outside the available information can be passed to your team. The same knowledge can support web chat, voice, WhatsApp, or an assistant inside your product.
Retrieval-grounded answers
Search your documents, FAQs, and product data for each question, then use the retrieved information to prepare an answer with sources.
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
Voice assistants for web and phone, designed and tested for responsive conversations and clear audio.
Evals before launch
Evaluate representative customer questions and expected answers whenever prompts or retrieval behavior change.
Typical stack
Timeline
Typical engagement: 2–4 weeks to a production widget with evals and analytics.
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.