Refund came through in two days. Honestly impressed with the app.
Brand intelligence + misinformation detection
AEGIS — See what's being said. Know what's true.
AEGIS listens to the public conversation about your brand and reads every post, comment, and article for what it means to you — then flags the claims that aren't accurate before they spread.
Live feed
Example
They’re charging ৳50 on every transfer from next month. Spread the word.
Figure differs from the official notice
Service was down again this morning for about an hour.
Long queues at the new branch on opening day, but staff were helpful.
- Every mention analysed
- Every claim checked
- Live, around the clock
The problem
Why brand monitoring breaks
Mentions and keyword counts tell you people are talking. They don't tell you whether what's being said is true, or which false claim is about to become the story.
The insight
The verdict lives in the claim, not the count
A post can rack up shares while repeating a figure that's wrong, a quote that's been cut short, or a policy that's been misdescribed. AEGIS reads the claim itself, not just the reaction to it.
Figure differs from original sourceOfficial notice: 1.8%
Public page2 h · Public
Big change from Sunday: the company is raising its service fee to 18% for every customer. Share this before they quietly update the app.
2.4k shares318 comments5.1k reactions
How AEGIS works
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01
Listen
Collect public commentary from the pages, groups, and news outlets where your conversation actually happens.
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02
Understand
Score sentiment and emotional tone for every post and article, in context.
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03
Detect
Cluster related posts into a single tracked narrative and flag the ones showing signs of distortion.
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04
Act
Get a credibility read on each flagged claim, with the specific signals behind it, so your team can verify and respond with confidence.
Misinformation detection
AEGIS doesn't decide what's true — it tells you what's worth checking, and why.
Flagged claim
Worth checking
Public post · Facebook group · 14 min ago
“Video from this morning shows the head office on fire.”
Quote out of context
Figure changed as it spread
Old story recirculating
24/100
CredibilityLow · worth checking
- The same footage was first posted in March 2024.
- Caption says “this morning”; no current report matches.
- Shared as new in three groups in the last hour.
Your team makes the final call.
Dashboard & reporting
- 1Live sentiment and mention trends, filterable by source and date.
- 2Flagged-claims queue, ranked by how fast each is spreading.
- 3Scheduled reports for teams and leadership, in plain language.
Built for every team
Brand & marketing
see how campaigns are actually landing.
Customer experience
catch complaints before they become patterns.
Comms & PR
respond to a false claim while it's still small.
Leadership
a short, evidence-based read on where things stand.
A note on scope
AEGIS monitors public content only — public posts, pages, and articles that anyone could already see. It doesn't build profiles of individual people, and a flagged claim is never treated as a confirmed falsehood — only as something worth a human look.
Frequently asked questions
Public pages, public groups, public posts and comments, news outlets and blogs that you choose to track. Nothing private or behind a login.
It looks at signals: whether a figure has changed from earlier versions, whether a quote matches its original, whether an old story is being shared as new, and how the claim is spreading. The score tells you how worth checking a claim is. Your team makes the final call.
Yes. [Confirm supported languages, e.g. English and Bangla.]
Yes. Choose the brands, keywords and competitors you track, and set when you get alerted, for example by how fast a claim is spreading or how low its credibility score falls.
AEGIS runs around the clock, so flagged claims appear in your queue as they're detected. [Confirm alert channels, e.g. email and dashboard.]