Service · AI Chatbots

Chatbots that answer from your knowledge — not their imagination.

We build retrieval-augmented (RAG) chatbots grounded in your own docs, policies, and product data. Every answer is pulled from your content and cited — and when the answer isn't there, the bot says so and hands off to a human instead of guessing.

Cited
every answer sourced
No guessing
refuses to hallucinate
Web · WhatsApp
deploy anywhere
Support assistant Grounded
What's your refund policy for online orders?
Online orders can be refunded within 30 days of delivery. Items must be unused and in original packaging. Refunds are issued to the original payment method within 5–7 business days.
↳ Refund Policy · §3 ↳ Shipping FAQ
Do you price-match competitors?
I don't see a price-match policy in your documents, so I won't guess. I've flagged this for the team — want me to connect you with a human now?
no source found → human hand-off
Ask about orders, policies, hours…
Why businesses choose it

A support layer that pays for itself.

Book free consultation
24/7

Instant answers, always on

Customers get accurate replies in seconds — nights, weekends, and holidays included — without adding headcount.

−60%

Fewer repetitive tickets

The bot deflects the routine questions that eat your team's day, so people focus on the conversations that actually need them.

100%

Answers you can trust

Every reply is grounded in your own content and cited, so your brand never gets misrepresented by a made-up answer.

1–3 wks

Fast to launch

We turn your existing docs into a working assistant in weeks, not months — tested against real questions before it goes live.

Any channel

Meets customers where they are

One assistant across your website, WhatsApp, and inbox, all drawing on the same knowledge base.

Full logs

Visible and improvable

See what's asked, what's answered, and where it hands off — then keep refining with clear monthly reporting.

How our chatbots work

Retrieval-augmented, so answers stay grounded in your content.

Instead of hoping a generic model knows your business, we index your knowledge and make the bot retrieve the right passages before it answers — then cite them.

01

Ingest your knowledge

Docs, SOPs, policies, product catalog, past tickets, website — whatever holds the answers your team gives today.

02

Index it

We split your content into chunks, embed them, and store them in a vector database so meaning — not just keywords — can be searched.

03

Retrieve

At question time, the bot finds the passages most relevant to what was actually asked, not a canned keyword match.

04

Answer + cite

The model answers using only those retrieved passages and cites the source, so every reply is traceable back to your content.

05

Act or escalate

It calls tools, completes tasks, and — when the answer isn't there or the action is sensitive — hands off to a human.

Capabilities

More than a FAQ box. It takes action.

Answers from your content

Trained on your real docs and policies, so replies match what your team would actually say — no generic filler.

Cites every source

Each answer links back to the document it came from, so customers and staff can verify it in one click.

Won't make things up

If the answer isn't in your knowledge base, it says so plainly instead of guessing — the single most important safety behavior.

Calls your tools

Look up an order, check availability, create a ticket, trigger a workflow — the bot does the task, not just the talking.

Human hand-off

Unclear questions, upset customers, and sensitive actions route to a person automatically, with the full conversation attached.

Multilingual & always on

Answers in your customers' language, 24/7, across every channel — nights, weekends, and holidays included.

Agentic + human-in-the-loop

It routes, calls tools, and knows when to ask a human.

Every message is classified and routed to the right action. Simple questions get answered from your knowledge base. Order lookups call your systems. And anything sensitive — a large refund, an edge case, an unhappy customer — pauses for human approval or escalates automatically.

Classifies each message into a clear intent before doing anything
Routes down the right branch — knowledge, order lookup, refund, escalation
Pauses for human approval on high-value actions like large refunds
Resumes exactly where it left off once a human decides
incoming message
"Where's my order #4021?"
classify → order_issue
Knowledge question answer from knowledge base (RAG) auto
Order lookup call your systems via a tool auto
Refund / payment high value → human approval gated
Escalation hand off to a person human
Where it lives

One assistant, everywhere your customers reach you.

Your website

An embeddable widget that matches your brand and sits on any page — product, pricing, support.

WhatsApp

Meet customers where they already message you, with the same grounded answers and hand-off.

Email & inbox

Triage and draft replies to incoming support email, routing the tricky ones to your team.

Your tools

Connected to your CRM, help desk, and order systems so it can actually get things done.

Under the hood for the technical buyer

How we actually build these systems.

Two cooperating layers: a retrieval service that grounds answers in your data, and an agent that classifies, routes, and calls tools — with a human in the loop for anything sensitive. Model-agnostic, so we use the right LLM for the job.

Retrieval layer
grounds answers in your data
ingest
Chunk & embed
Your content is split into passages and embedded with a sentence-transformer model into vectors that capture meaning.
store
Vector database
Embeddings live in PostgreSQL + pgvector (Supabase), so retrieval scales with your knowledge base.
query
Similarity search
Each question is embedded and the closest passages are retrieved — top-k, ranked by relevance.
answer
Grounded generation
An LLM answers using only those passages and cites sources; if nothing matches, it declines instead of guessing. Served as a validated FastAPI endpoint.
Agent layer
classifies, routes & acts
classify
Intent detection
A structured-output LLM tags each message with a single intent before anything runs.
route
Conditional graph
A LangGraph state machine routes on that intent down the right branch with conditional edges.
tools
Tool calls
Branches call tools — the retrieval service, order lookups, ticket creation, workflow triggers.
human
Human-in-the-loop
Sensitive actions interrupt the graph, checkpoint state, and resume exactly where they paused once a person approves.
Models
OpenAIAnthropicGroq / Llamasentence-transformers
Retrieval
pgvectorPostgreSQLSupabase
Orchestration
LangGraphLangChaintool callingcheckpointer
Serving
FastAPIPydanticwebhooksREST
Use cases

The same engine, tuned to your industry.

E-commerce & retail
"Where's my order, and can I still return it?"

Order status, returns, sizing, and stock — answered from your policies and connected to your store.

Healthcare & clinics
"Do you take my insurance, and what should I bring?"

Intake questions, hours, and prep instructions handled from approved docs, with anything clinical routed to staff.

Real estate
"Is this listing still available for a viewing?"

Instant lead response and qualification, pulling details straight from your current listings and CRM.

Professional services
"What's included in your onboarding package?"

Scoping, pricing tiers, and process questions answered consistently, so every lead gets the right story.

Hospitality
"What time is check-in and is parking included?"

Booking, amenities, and policy questions across web and WhatsApp, freeing the front desk for guests.

SaaS & tech
"How do I connect my account to Slack?"

Product and troubleshooting answers grounded in your help docs, with tickets created for the hard cases.

FAQs

Chatbot questions, answered

The core questions businesses ask before deploying a chatbot grounded in their own knowledge.

Generic models answer from what they were trained on and will confidently guess about your business. Ours retrieves answers from your own documents first, cites the source, and refuses to answer when the information isn't there — so it can't invent policies or prices you never set.

Your existing knowledge in almost any form: help docs, SOPs, policy PDFs, a product catalog, a spreadsheet of FAQs, even past support tickets. We handle turning that into a searchable knowledge base — you don't need anything technical.

Send us the updated document, or edit it in the source we connect to. Re-indexing is quick, and the bot immediately answers from the new content. No retraining, no code changes on your end.

By design it says so instead of guessing, and hands the conversation off to a human — with the full context attached. You can configure exactly when it escalates and to whom.

A website widget, WhatsApp, email triage, and inside your existing tools. It can also call your systems — order lookups, ticket creation, workflow triggers — not just answer questions.

Most chatbots go live in 1–3 weeks depending on how much knowledge we're ingesting and how many integrations you need. We test against real scenarios before anything goes in front of customers.

Schedule

See what a grounded chatbot could do for your business

Book a free audit. We'll look at your docs and support volume and show you exactly what to automate first.

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