Conversational chatbots that answer accurately, qualify leads and resolve support requests around the clock.
Built on your documentation and support history, with guardrails that keep answers accurate and a clean escalation path to your team.
A focused technical and operational audit
A working prototype against real inputs
Human approval points and reliable fallbacks
Documentation your team can own
A measured rollout, not a big-bang launch
Answering pre-sales product questions instantly instead of losing the visitor to a contact form
Deflecting the handful of support questions that account for most of your inbox volume
Qualifying inbound chat visitors before a rep ever joins the conversation
Yes — that's the standard approach. We build it on your support history, product docs and policies, rather than generic internet knowledge, so answers reflect how your business actually works.
It says so and hands off to a human with the full conversation context attached, rather than guessing or giving a generic non-answer.
Every customer-facing system launches with defined guardrails and an escalation path, and runs in a supervised mode until we have real production data on its accuracy — not just evaluation-set numbers.
Almost always the former. We design the system, prompts and guardrails around an existing frontier model, since that's faster and more reliable for most business use cases. Custom fine-tuning only happens when the evidence says a general model can't hit the accuracy bar.
Tell us where work gets stuck. We’ll come back with a sharper view of what to automate, what to keep human, and what to leave alone.