AI Product2026

Familieværn

An AI proof-of-concept built at RoyalHacks 2026 — an intelligent call-screening system designed to protect elderly Danes from phone scams using real-time AI analysis, answering, transcribing, classifying, and responding in Danish.

Overview

TwinCurrent built Familieværn, an AI proof-of-concept, at RoyalHacks 2026 — Denmark's national student hackathon. It is an intelligent call-screening system designed to protect elderly Danes from phone scams: a complete voice pipeline, built end to end, where incoming calls are answered by an AI that listens, understands, and decides whether a call is a likely scam before it ever reaches the person being protected.

The context is stark: 274,000 Danes were hit by phone fraud in 2024, losing 333M DKK. A 2024 government package closed the SMS channel but left voice scams wide open — the gap Familieværn targets.

The Challenge

274,000 Danes were victims of phone fraud in 2024, losing 333M DKK
The 2024 government package closed SMS scams but left the voice channel open
Elderly people are the most exposed and the hardest to reach with text-based defences
Detecting a scam requires understanding spoken Danish in real time, not keyword matching
Any screening must be fast enough to handle a live phone call without awkward delays

System Architecture

Inbound call (Sinch)

Telephony answers the call

Rust / Axum backend

Orchestrates the pipeline on Railway

STT → classifier → TTS

ElevenLabs Scribe, Gemini Flash, ElevenLabs Flash

Operator dashboard

Live events over SSE

A call arrives through Sinch telephony and is handed to a Rust/Axum backend on Railway that orchestrates the whole loop. Audio is transcribed by ElevenLabs Scribe, the transcript is classified by a Gemini Flash model in JSON mode, and the spoken response is synthesised by ElevenLabs Flash in a Danish voice.

The backend streams every step — transcript, classification, decision — to a Next.js operator dashboard over Server-Sent Events, so a human can watch calls unfold live. The SSE pattern mirrors TwinCurrent's existing real-time chat plumbing, which let the whole pipeline come together inside a hackathon timebox.

The Solution

Inbound call answering

Calls are answered automatically through Sinch telephony, so the protected person's phone never has to ring for an unknown caller.

Real-time transcription

ElevenLabs Scribe turns the caller's spoken Danish into text the system can reason over as the conversation happens.

Scam classifier

A Gemini Flash model in JSON mode classifies the transcript, scoring how likely the call is a scam.

Danish voice responses

ElevenLabs Flash synthesises natural Danish speech so the AI can interact with the caller.

Live operator dashboard

A Next.js dashboard streams transcripts and classifications live over SSE so a human can monitor calls.

Voice channel coverage

Targets the scam channel left open after SMS fraud was clamped down — designed to protect the most exposed group.

Integration Highlights

Sinch telephony

Receives the inbound call and bridges audio to the backend.

Gemini Flash + ElevenLabs

Classifier in JSON mode plus Scribe STT and Flash Danish TTS.

SSE operator stream

Backend streams live events to the Next.js dashboard.

Tech Stack

Rust / Axum

Pipeline orchestration backend on Railway

ElevenLabs Scribe + Flash

Speech-to-text and Danish text-to-speech

Gemini Flash

Scam classifier in JSON mode

Next.js + SSE

Live operator dashboard on Vercel

Outcomes

stage voice pipeline

AI services in one loop

SSE

live operator stream

2026

built at RoyalHacks

Key Outcomes

A complete inbound voice pipeline built end to end at RoyalHacks 2026
Live Danish speech-to-text, scam classification, and text-to-speech in one loop
Operator dashboard streams transcripts and decisions in real time over SSE
Targets the voice scam gap left open after the 2024 SMS clampdown
Built on a production-shaped stack (Rust/Axum, Railway, Vercel) rather than throwaway demo code

The service behind this:AI integration & automation

Have a real-time AI idea to prove out?

Familieværn went from concept to a working voice pipeline in a hackathon. If you have something to prototype fast, let's talk.

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