Fraud Protection for Seniors

Turning fraud protection into a Right

AI-powered real-time protection against phone and digital fraud, designed specifically for people aged 65 and older.

MIT CTO Program · 2025 Cohort
+442%
Growth in phone fraud (YTD 2025)
Source: Pew Research, FTC, IC3 & Spain Ministry of Interior
73%
Of older adults fear online scams
The Problem

The perfect storm for phone and digital fraud

Three converging forces create an unprecedented vulnerability for adults 65+.

+442%

YTD 2025

Growth in phone fraud targeting seniors (2025)

73%

Reported fear

Of older adults fear becoming a victim of online scams

20–34%

Social isolation

Of elderly people suffer from loneliness and social isolation

Our Solution

Your trusted copilot against fraud

A technology solution that works silently in the background, protecting what matters most.

Active Listening

Real-time monitoring of voice calls, SMS, WhatsApp, and email.

Real-Time Analysis

Instant risk detection powered by AI and natural language processing.

Tailored Alerts

Frictionless, conversational alerts adapted to the user's context.

Support Network

Automatic notifications to trusted family members in critical situations.

Under 800ms

How it works

From suspicious call to protection — in under 800 milliseconds.

T = 0ms
Call detected
Incoming call or message detected
T + 200ms
Transcription
Audio transcription via Whisper Large v3
T + 400ms
ML Analysis
ML scoring + RAG context analysis
T + 600ms
AI Decision
Severity decision via GPT / Gemma
T + 800ms
Protected ✓
Empathetic alert + threat blocked
Technology Stack

Built on mature foundations

No experimental dependencies. Production-ready technology at every layer.

Listen
Whisper Large v3 — real-time speech-to-text
Real-time audio capture and transcription with high accuracy across accents and speech patterns
TRL 8
Understand
Market-specific LLMs for intent classification
Fine-tuned language models trained on fraud patterns specific to Spanish and LATAM markets
TRL 8
Detect
ML-based agentic pattern analysis & risk scoring
Ensemble models combining rule-based heuristics with neural risk classifiers
TRL 7
Intervene
Fraud containment, user notification & model learning
Real-time intervention with feedback loops that continuously improve detection accuracy
TRL 9
Impact

Who we protect and how

Who we impact

Exclusive focus on adults aged 65+. Accessibility-first design that reduces technological stress and digital barriers.

  • Designed for low digital literacy
  • Voice-first interaction model
  • Zero-friction onboarding

What we deliver

  • Proactive, real-time fraud prevention
  • Digital companionship that reduces social isolation
  • Family peace of mind and emergency alerts

Market Opportunity

A rapidly growing global market driven by aging demographics and exponential fraud growth. 1.4B people aged 60+ by 2030, with $28B+ lost to senior fraud annually.

Roadmap

Our roadmap

Phase 1 — 2025

Pilot — Spain

30% reduction in phone fraud among target users. 500 beta users.

Phase 2 — 2026

Regional Scaling

Expansion to LATAM and EU. +1M protected users.

Phase 3 — 2027

Comprehensive Platform

Risk anticipation engine. 40% emergency reduction.

Phase 4 — 2028

Strategic Alliances

Banks, telcos, insurance partners. Global cultural adaptation.

Team

The team

Six specialists united by a single mission: making digital protection a universal right.

Daniel Oliveras

AI

LinkedIn

Marcelo Rizzi

Strategy & Growth

LinkedIn

José Amós de Vivar

Product

LinkedIn

Daniel Miranda

Operations

LinkedIn

Carla Juárez

Data & Customer Insights

LinkedIn

Arturo Marroquín

Cybersecurity

LinkedIn
Get in Touch

The technology is ready. The problem is urgent.

We are looking for strategic partners to make digital protection a universal standard.

vivaguard.net