AI Fact-Checker Overlay · Android · iOS coming
One swipe. One truth.
The AI fact-checker that lives over any mobile app. No copy-paste. No app switching.
VeRa (from Latin veritas — truth) is a personal AI fact-checker that lives as an overlay on top of any app on your phone. Spot a suspicious story on Facebook, X, Instagram, or any news site — pull the lens over it, and within seconds get a verdict with citations to real sources.
01 — The Problem
Misinformation spreads faster than truth because verification requires effort — and no one makes that effort mid-scroll.
Every day, billions of posts, headlines, and videos compete for attention — and the noise is winning. AI-generated fakes are indistinguishable from real reporting. Manipulated content spreads faster than corrections. Outrage travels at the speed of a share button, while the truth is still loading.
The result: most people can no longer tell what's real. Not because they're naive — but because the volume of noise has made reality structurally hard to see.
Americans regularly get news on Facebook
get news via YouTube video
of X users get news there
get news on TikTok (up from 1% in 2020)
For the first time in 2026, social media surpassed TV as the leading news source globally — Reuters Digital News Report 2026.
The core problem: verifying a claim means leaving the app, Googling, cross-referencing sources — a process almost no one completes mid-scroll. Misinformation gets shared before anyone checks it.
02 — Why Now
For the first time in 2026, social media became the leading news source globally (Reuters 2026). Verification needs to happen where people read — not after.
Anyone can generate convincing fake articles, images, and videos in seconds. The volume of unverifiable content is growing faster than anyone can check it.
Reuters Institute and Edelman Trust Barometer (2025) record audience trust at its lowest in two decades. People are looking for an alternative — but don't know what to trust.
Regulators are demanding transparency from AI products. For VeRa, this is already architecture — not compliance work to do later.
03 — Solution
VeRa is a system overlay. Pull the lens over any content on screen, and get a structured verdict with cited sources — without leaving the app you're reading in.
A small handle sits at the edge of your screen. Swipe it open whenever something on screen looks off — in Facebook, X, Instagram, WhatsApp, a news app, anything.
Drag the lens over the content you want to verify. VeRa captures the frame on-device, extracts the text via on-device OCR, and never sends the image anywhere.
Seconds later, a card appears with one of four verdicts — APPROVED, FAKE, MANIPULATION, or UNVERIFIED — plus the key analysis and links to the sources VeRa actually used.
No copy-paste. No app switching. The screenshot never leaves your device.
04 — Four Verdicts
Every verdict comes with a key analysis, cited sources, and a confidence value — never an opinion, never a fabricated answer.
Why orange for FAKE and not red? Red carries strong political and partisan associations in many markets. VeRa is neutral by design — orange signals alert without taking a side.
The Stockholm3 blood test is a validated diagnostic tool confirmed by NICE-referenced studies.
Key Analysis
External evidence confirms Stockholm3 combines genetic markers, proteins, and clinical data.
Sources & Evidence
⛓ Stockholm3 | The Doctors Laboratory
⛓ Stockholm3 — EIT Health
The claim that extraterrestrials are unveiling technology is a fabrication with zero factual basis.
Key Analysis
No evidence supports the existence of alien entities or their involvement in terrestrial AI development.
Sources & Evidence
⛓ No independent sources found
The article uses a sensationalised headline to misrepresent policy disagreements as the root cause of criminal acts.
Key Analysis
The framing creates a false causal link between policy and violence not supported by evidence.
Sources & Evidence
⛓ Man Charged After Five People Injured In Suspected Hate Crime
⛓ 5 men stabbed in alleged anti-Muslim attack — UPI.com
The claim cannot be confirmed — insufficient independent sources were found.
Key Analysis
The input provides only a generic headline without specific facts to verify.
Sources & Evidence
⛓ No independent sources found
These are real outputs from the VeRa engine, presented as illustrative examples. They are not a measured accuracy claim.
05 — In Context
The overlay floats above whatever the user is reading — Facebook, X, Instagram, WhatsApp, any news site. One swipe. Verdict in seconds. No app switching. No copy-paste.
06 — Differentiation
Five properties that browser extensions, fact-check websites, and general-purpose chatbots cannot replicate inside a mobile app.
Works over any mobile application without leaving context. Browser extensions don't function inside native apps. Websites require a context switch. No equivalent exists in the mobile space.
Capture and OCR happen on-device. Only text leaves the phone — never the image. A few hundred bytes per check, no biometric data, nothing personal.
No sources → UNVERIFIED. Never a fabricated answer. RAG with citations eliminates the kind of hallucinations that plague general-purpose chatbots.
Every verdict is built on public sources via RAG. Each citation is open — anyone can verify it independently. No need to take our word for it.
The engine responds in the language of the content automatically. No setting to toggle, no UX friction.
07 — Architecture
VeRa is built on a strict separation between what stays on your device and what reaches our servers. The screenshot never leaves your phone. Text — and only text — is transmitted.
The system is architecturally incapable of "confidently lying" — this is a technical constraint, not a behavioural policy. Where regulators ask for AI transparency (EU AI Act and others), we already meet the bar by design.
08 — Where we are
Signed Android APK · end-to-end flow confirmed
Backend tests passing · health 10/10
Annual infrastructure cost (domain only — Ollama on existing hardware, Cloudflare Tunnel free tier)
Architecture audit: OWASP / STRIDE — no leaks or injections
Planned. Multi-language OCR on roadmap.
Demo is live at redmindsys.uk — fully working end-to-end pipeline on a single PC. The next step is cloud inference, iOS, and broader OCR coverage.
09 — AI Ethics
The entire data pipeline is built on a small set of non-negotiables.
Screenshot never leaves the device. Only text is transmitted.
RAG retrieves real, public sources. Nothing is fabricated.
No sources = UNVERIFIED. Sources are always shown to the user, never hidden.
We do not train on user queries and do not scrape third-party content. Pretrained models + RAG only.
"Assistive, not authoritative." VeRa helps you reach the right conclusion — it does not declare it for you.
10 — For Investors
VeRa is at the rare stage where the product works, the cost base is near zero, and the next step is scale: cloud inference, iOS, multi-language OCR, and the first marketing campaign.
For partners who want to take a position in an early, technically clean AI infrastructure play.
EIC, Techstars, MassChallenge, Startup Wise Guys, Google for Startups Ukraine — programmes we're evaluating in priority order.
Kickstarter or Indiegogo — both technically compatible with our AI disclosure stance (Consent & Credit 2024+).
If you cover AI, mobile, infrastructure, or trust-and-safety — we'd be glad to talk.
11 — FAQ
ChatGPT requires copy-paste, context switching, and doesn't cite real sources for verdicts. VeRa is purpose-built: one gesture, on-device OCR, RAG with real sources, structured verdict.
Verdicts are based on public sources via RAG, never generated. When evidence is insufficient, the verdict is UNVERIFIED — never a fabricated answer. We use "assistive, not authoritative" framing. The primary protection is architectural, not contractual.
Pretrained models + RAG. No training on scraped data. Sources are always cited. The system is architecturally incapable of fabricating a verdict.
On-device OCR (privacy) + in-context overlay (UX no competitor has on mobile) + RAG with evidence-based verdicts (trust) + language-mirroring.
Signed Android APK, live at redmindsys.uk. End-to-end flow confirmed. 117 backend tests passing, health 10/10.
Inference runs on a single local PC (Ollama + Qwen3.6, 24GB). Demo mode, not production scale. Cloud inference and iOS are the next steps.
12 — Get in touch
Investors, accelerators, journalists, partners — drop a line. We read every message.
We don't share your details. No newsletter, no tracking pixels. Just an actual human reading your message.