We've been building bots since the clunky decision-tree days, so we know exactly why people hate most of them. Ours are different. They read your docs, check real order data, and know when to hand off to a human. Website, WhatsApp, Slack — wherever your customers already hang out.
From answering the same question for the thousandth time to qualifying leads while you sleep.
Resolve most tier-1 tickets instantly: order status, returns, troubleshooting, account questions — with clean handoff to your agents for the rest.
Engage visitors, answer product questions, qualify leads, and book meetings straight into your calendar and CRM — 24/7.
Give your team one place to ask about policies, processes, and documentation — in Slack, Teams, or a private portal.
Product discovery, size and fit advice, cart recovery, and order tracking — a shop assistant that knows your entire catalog.
Phone and in-app voice bots that understand natural speech — for booking, support lines, and hands-free workflows.
Serve customers in dozens of languages with one bot and one knowledge base — no separate content per language.
One bot, one knowledge base — deployed across every channel that matters to you.
Answers come from your docs, catalog, and help center via RAG — with sources, not guesses.
The bot checks real order status, creates tickets, updates your CRM — it acts, not just chats.
When a conversation needs a person, it transfers with full context — no starting over.
On-topic boundaries, tone control, and evaluation against real customer questions before launch.
See what customers ask, where the bot struggles, and what content to improve next.
What every client asks, and what we tell them.
Rule-based bots follow rigid decision trees and break the moment a customer phrases something unexpectedly. LLM chatbots understand natural language, answer from your actual documentation, handle follow-up questions, and hand off to a human when needed — so conversations feel helpful instead of frustrating.
Yes. We connect the bot to your knowledge — help center articles, product catalogs, PDFs, internal wikis — using retrieval-augmented generation (RAG), so answers come from your real content, stay current, and can cite their sources.
Anywhere your customers are: your website, WhatsApp, Telegram, Facebook Messenger, Instagram, Slack, Microsoft Teams, email, or embedded in your mobile app. One bot can serve several channels with shared knowledge and history.
We ground answers in your content with RAG, add guardrails that keep the bot on-topic, test it against real customer questions before launch, and monitor conversations in production. For sensitive topics the bot escalates to a human instead of guessing.
A working prototype on your own content is typically ready in about a week. A production launch — with integrations, guardrails, testing, and analytics — usually takes 3–6 weeks depending on channels and systems involved.
Tell us what your customers keep asking. We'll build a prototype on your own content — usually within a week.
