Your docs, talking back.

It already knows your business on day one

Knowledge sources

Point it at websites, uploaded documents, a Solr index or your own API. Re-crawls on a schedule, so answers don't drift from the source.

Every answer can be checked, so people trust it

Cited answers

Responses are grounded in retrieved passages and cite the document and section they came from — not a confident paraphrase of nothing.

Live on your site in an afternoon

Web chat widget

One script tag. Styled to your brand in Widget Studio, with a welcome card that puts your primary call to action in front of every visitor.

Meet customers where they already message you

WhatsApp, Instagram and Messenger

The same brain answers on every channel. Route by phone number or page, and keep one set of sources behind all of them.

Staff stop interrupting each other for answers

Slack and Teams

The internal assistant reads the internal material, so HR policy and runbook questions resolve in the channel they were asked in.

Callers get answered without a queue

Voice

Speech in, speech out, over the same pipeline as chat — so the phone line and the website never disagree.

Nobody hits a dead end

Live agent handoff

When the bot is out of depth it hands the conversation to a human with the full transcript attached, so the customer never repeats themselves.

Interest becomes a named contact in your CRM

Lead capture forms

A short form inside the chat captures name, email, phone and intent, writes it straight to your CRM, and carries the conversation summary with it.

Fewer drop-offs between interest and a call

Book a meeting in chat

The calendar opens inside the conversation. No redirect to a booking page, no second tab, no lost visitor.

Reach a segment without exporting a list

WhatsApp campaigns

Send an approved template to an audience, then let the assistant handle every reply — so a campaign starts a conversation instead of ending in an inbox.

People can browse and buy inside the chat

Product catalog

Sync products from your own API, push them to a Meta catalog, and let the assistant show, recommend and take the order.

It can act, not just answer

Connections and skills

Give it a REST, SQL, SAP or MCP connection and it checks an order, raises a ticket or files a request — with the arguments validated before the call.

One platform, a different assistant per audience

Pipelines and prompt profiles

Compose sources, model, prompt and guardrails into a named configuration, and run several side by side without them bleeding into each other.

It stays on topic, in your words

Guardrail policies

Define what it must never claim and how it declines. Applied on the live path, not just in testing.

Confidential content stays confidential

Permission-aware retrieval

Source permissions travel into the index, so a reader cannot retrieve a restricted page — even by asking for it precisely.

Customer-specific answers, safely

Sign-in and roles

Gate a skill behind sign-in and connect your own identity provider — Google, Azure AD, Okta or generic OIDC — with groups mapped to roles.

ChatGPT that only knows your business

Your private GPT

The same ask-anything experience your team already expects, answering from your material instead of the open internet — and your content is never used to train anyone's model.

It finishes the job, not just the sentence

Multi-step agents

Chain several calls into one request — look the customer up, check stock, raise the ticket, confirm back — with each step validated before it runs.

No more "which system is right?"

Every source, one answer

Website, documents, a Solr index, a database and your own APIs answer as one assistant, so staff and customers stop getting two different versions of the truth.

You can see what people actually ask

Analytics and transcripts

Every conversation is searchable and every configuration change is logged, so you learn what to write next and can prove what happened.

Change it with confidence

Playground and testing

Try a prompt, a source or a skill against real questions before it reaches a customer, and compare against the version running today.