Customer support bot
Deflect repetitive tickets with answers drawn from your help docs and policies, and hand off cleanly to a human when needed.
Chatbots that answer
from your knowledge.
A chatbot is only useful when it’s right. We build assistants that answer from your own documents and data, grounded, cited and safe, on your website, in Slack or over WhatsApp, with a clean hand-off to a human when they need one.
Groundedanswers from your
sources, not guesses
sources, not guesses
Citedevery answer links
back to a source
back to a source
Everywhereweb, Slack,
WhatsApp & more
WhatsApp & more
Retrieval over your data
Answers with citations
Access-controlled
Web, Slack & WhatsApp
What people build
One assistant,
One assistant,
many front doors.
The same grounded engine answers customers, staff and prospects, wherever they already ask their questions.
Internal knowledge assistant
Let staff ask your handbooks, wikis and processes in plain language, with permissions so people only see what they should.
Docs & website assistant
A helper on your site or docs that guides visitors to the right answer, and quietly tells you what they couldn’t find.
Sales & product Q&A
Answer detailed product, pricing and fit questions instantly, grounded in your real specs, not a hallucinated brochure.
What’s included
The engine behind
The engine behind
a trustworthy bot.
Anyone can wire a model to a chat box. The value is in the retrieval, the grounding and the safety that make it reliably right. When retrieval quality is the whole job, see RAG development.
01
Grounded in your sources
Retrieval (RAG)
We ingest your documents and data and retrieve the relevant passages at query time, so the model answers from your reality.
IngestionChunkingEmbeddingsRe-ranking
02
Conversation that flows
Dialogue & memory
Natural multi-turn conversation that remembers context within a session and stays on topic, so users aren’t repeating themselves.
Multi-turnSession memoryIntent handlingFollow-ups
03
Show your work
Citations
Every answer links to the source it came from, so users can verify it and you can trust it, the antidote to confident nonsense.
Source linksSnippetsConfidence“I don’t know”
04
The right answer for the right person
Access control
Permissions so the bot only surfaces what a given user is allowed to see, essential the moment internal or customer data is involved.
RolesRow-level accessSSOAudit log
05
Meet users where they are
Multi-channel
The same assistant on your website widget, in Slack or Teams, over WhatsApp or inside your app, one brain, many surfaces.
Web widgetSlack / TeamsWhatsAppIn-app
06
Learn what to fix
Analytics & guardrails
Conversation analytics, quality evals and content guardrails so you see what’s working, what’s missing and where to improve.
Topic analyticsGap detectionGuardrailsEvals
How we work
From your docs
From your docs
to a bot people trust.
Grounding is an engineering problem, not a prompt. Here’s how we turn a pile of content into answers you can rely on.
Content ingestion
We gather your documents, help articles, databases and sites, clean them up and set up a pipeline that keeps them current as they change.
Chunking & embeddings
We split content the right way for retrieval and embed it into a vector store, the unglamorous step that decides whether answers are any good.
Retrieval tuning
We tune search and re-ranking against real questions so the model gets the right passages, the single biggest lever on answer quality.
Guardrails
We set the bot to answer only from your sources, cite them, and say “I don’t know” rather than invent, with access rules enforced.
Evaluation
We build a question set with known answers and score the bot on accuracy and citation quality before launch, and after every change.
Launch & improve
We ship it on your channels, watch what people ask and where it stumbles, and close the gaps with better content and tuning.
Direct answers
Questions before
Questions before
you deploy.
The difference between a helpful bot and a liability is in the details, here are the ones people ask about most.
Ask us somethingWe ground every answer in retrieval from your sources, require citations, and set the bot to say “I don’t know” when the answer isn’t in your content, then we measure accuracy with an evaluation set so it stays honest.
Help docs, PDFs, websites, wikis, databases, tickets, most sources we can read, we can ground on. We set up a pipeline so answers stay current as your content changes.
A website widget, Slack or Teams, WhatsApp, or inside your own app, the same grounded engine behind each, so the experience and the knowledge stay consistent.
Yes. We use providers that don’t train on your data, enforce access rules so users only see what they should, and can deploy privately when the content demands it.
It depends on content volume, channels and accuracy bar. After a short discovery we give a range tied to milestones, plus the ongoing model and hosting costs to run it.
Contact
Let’s make the next
Let’s make the next
move count.
Tell us what you are building. We will come back within one business day with questions, not a pitch deck.