Learned Q&AsComing Soon

Your Knowledge Hub writes its own FAQs.

Exabloom watches the questions customers actually ask, spots the ones your Knowledge Hub can’t answer yet, and drafts a ready-to-approve FAQ from how your team already replied. You review the good ones and add them in a click.

In active development. Early-access partners getting onboarded now.
Knowledge Hub
Manage FAQs and documents available to your AI agents.
FAQs 24Documents 8Suggestions3
Questions your customers keep asking that your Knowledge Hub can’t answer yet. Review the good ones and add them as FAQs.
Is there parking at your centres? Draft ready
11 customers 2 workspaceslast 14 days
Drafted from team replies
Yes — both outlets have parking nearby. Tampines has a covered carpark in the building; Bukit Timah has open-air lots out front.
Dismiss Accept
What are your opening hours on public holidays? Answer needed

Your Knowledge Hub only knows what someone remembered to add.

Customers reveal your content gaps every day — they ask the same uncovered question over and over. But that signal is buried in conversation history and never makes it back into your FAQs.

Without Learned Q&As
Read every chat to spot the pattern
Someone has to notice the same question keeps coming up — across every workspace, from memory. It never happens reliably.
The gap is invisible
When the AI can’t answer, that “I don’t know” goes nowhere. The same uncovered question gets re-asked forever.
Written from scratch, days later
If anyone remembers, they open the Hub, pick a folder, and write the answer from memory — long after the customer asked.
Gaps stay open
With Learned Q&As
The gap surfaces itself
Every recurring question your Hub can’t answer lands in a review queue — automatically, no setup, no one having to notice.
The answer is already drafted
Written from how your team actually replied in those chats. You verify it’s right, not write it from a blank page.
One click closes it
Accept opens the FAQ editor pre-filled. Save, and the same questions start matching your new FAQ — so the gap never reopens.
Gaps close themselves
How it works

You don’t set anything up. It just listens and learns.

01

It spots the gap

Every customer question is checked against your FAQs and documents. When nothing answers it well, that's a logged content gap — no configuration required.

02

It groups the repeats

“PH hours?”, “open on the holiday?” and “u all open monday” collapse into one suggestion — and only surface once enough different customers have asked.

03

It drafts the answer

For each recurring gap, Exabloom drafts a clean FAQ — mining the answer from how your reps actually replied. You review it and add it in a click.

It runs quietly in the background — a nightly sweep across all your workspaces. You just see the suggestions worth reviewing.

A draft you can trust, and always the final say.

The suggestions do the noticing and the first draft. You stay in control of every word that reaches a real customer.

Drafted from real replies — never made up

The answer comes from how your team already responded to that question in chat. If no one ever answered it, the draft is left blank and flagged — so you fill a real gap, not a guess.

Drafted from team replies Answer needed

Nothing goes live without you

Every suggestion is a draft. Accept opens the normal FAQ editor, pre-filled with the question, the answer, and a suggested folder. Nothing enters your Knowledge Hub until you save it.

Proof it’s a real gap

Each suggestion shows how many customers asked, across how many workspaces, plus real (read-only) message snippets — each one a click away from the actual conversation.

Dismiss is “not now,” not “never”

Dismiss a suggestion and its topic stops cluttering the queue — but it keeps counting quietly, and resurfaces if it becomes a bigger problem. A Dismissed view lets you bring any back.

Only real, recurring gaps — no noise, no duplicates

A question becomes a suggestion only after several different customers ask it — one-offs never create noise. And because a suggestion exists only when your Hub has no good match, accepting one fills a real hole rather than restating an FAQ you already have.

11
customers asked
1
FAQ to approve
Built for

Teams whose customers keep asking the same things.

Teams drowning in repeat questions

The same handful of questions is most of your inbox. Learned Q&As turns the top repeats into FAQs your AI can answer on its own — so your team stops retyping.

Multi-outlet brands

Suggestions are brand-wide but read every workspace's chats, each attributed to where it came from — so the same gap at Tampines and Bukit Timah becomes one FAQ, not two.

Knowledge Hubs that have gone stale

Set it up once, then never notice it drifting out of date. The gaps surface themselves as your customers' questions change — so your FAQs keep pace without a content project.

Admins without time to mine chats

You'll never read every conversation to find the patterns. This does the reading for you — and hands you a drafted answer to approve, not another to-do.

Questions you’re probably asking.

What teams want to know before letting the AI draft their FAQs.

It's in active development right now. We're onboarding early-access partners — small group, lots of attention. If you want to be one of them, message us on WhatsApp and we'll add you to the rollout list.

Still have a question?

Ask us on WhatsApp →
Early Access · Coming Soon

A Knowledge Hub that
keeps up with your customers.

Early-access partners are getting onboarded now. Small group, hands-on rollout. If your FAQs never quite keep pace with what customers actually ask — this closes the gap for you.

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