Spam filters block numbers. ScamBlocker protects people from manipulation.
Phone scams are evolving faster than people can recognize them. Our Android app listens to incoming calls in real time and warns users when the conversation sounds like a scam — even when the caller ID looks legitimate.
AI-powered scam conversation detection — we analyze what is being said on the line, not just the caller ID. Real-time warnings reduce risk; no serious product promises perfect detection.
01 · Problem first
The moment someone realizes it’s a scam is usually too late.
Scam calls are increasing globally. Elderly people lose millions. AI voice scams sound realistic. Typical spam blockers only flag known numbers — but social engineering still works when the number looks fine.
People trust the voice on the line — until the money is already moving.
Who feels this pain
- Elderly people targeted by “bank” and “police” impersonation
- Families trying to protect relatives from urgent-money tricks
- Anyone facing realistic AI-cloned voices and pressure tactics
Why existing tools fall short
- Number-based blockers miss new or spoofed caller IDs
- Legitimate-looking numbers still carry fraudulent intent
- The attack moved from “unknown number” to “credible conversation”
Solution
Real-time warnings based on what they say — not only who’s calling.
ScamBlocker (scamblocker.lv / scamblock.lv) is an Android app that listens to incoming calls and warns the user when the conversation matches suspicious scam-like patterns.
How it works
- Android app with real-time speech analysis
- AI-assisted detection of scam-like conversational patterns
- Live warning overlay while the call is in progress
- Useful even when the number is unknown or looks legitimate
Credible claims
- Detects suspicious patterns — not magic certainty
- Provides real-time warnings to reduce risk
- Complements number-based blockers; focused on manipulation in the call
02 · Live demo
Simulated call — fast, dramatic, obvious.
This interactive preview simulates a fake “bank security” call: the transcript streams in, then ScamBlocker raises a warning — same story you show with the real Android app on stage.
On-stage scenario
- Fake bank: “your account is compromised”
- Pressure: “send the verification code now”
- Money movement: “transfer funds urgently”
Then show: app listening → detection triggered → warning visible immediately.
03 · Show the user
Who pays, why you, how big, how we reach them.
Billions are lost annually to phone fraud. Every smartphone user is a potential beneficiary — freemium reach, premium revenue.
Who needs this
- Elderly users
- Families
- Anyone fielding scam pressure tactics
Business model
- Freemium app — core warnings for everyone
- Premium protection tier — advanced detection, family alerts, priority updates
Why choose ScamBlocker
- Proactive — warns during the conversation
- Real-time — not after the damage is done
- Adaptive — tuned for new scam scripts, not only blocklists
Why now
AI-generated scam calls are exploding.
Cloned voices and conversational scams lower the bar for attackers.
Elderly targeting is increasing; urgency bypasses careful thinking.
This is the moment for on-device or low-latency AI that reads intent in speech.
04 · What’s next
Who’s building this + what’s next.
Ralfs Batarags — solo founder. I’m building ScamBlocker end-to-end from Latvia: AI/ML, Android, backend & security, and product — with the EU market in mind.
What I ship
- Scam-pattern detection — on-device and hybrid roadmap
- Android — call audio, permissions, in-call warning UX
- Backend & security — privacy-first updates and abuse resistance