Delivered engagementAI & Agents · $9k – $15k
Resemble AI

Voice AI With Built-In Security

Delivered engagement. Coralsoft designed and built this product end to end; figures below retain their evidence level.

WebNext.js (App Router)ReactTypeScript
resemble-ai.example / dashboard
Resemble AI — product interface
The situation

What was in place before we started.

Resemble AI pairs production-grade voice cloning and real-time speech synthesis with a deepfake-defense stack — Detect and Verify — protecting enterprises from synthetic-media misuse.

Resemble AI pairs production-grade voice cloning and real-time speech synthesis with a deepfake-defense stack — Detect and Verify — protecting enterprises from synthetic-media misuse.

Engagement
3 months reconstructed
Team
6 people
Budget
$9k – $15k reconstructed
Year
2026
Category
Voice cloning · TTS · Deepfake security
Speed
~75ms streaming synthesis
Security
DETECT-3B (98.1%) + Perth watermarks
Trusted by
Paramount, Deutsche Telekom, World Bank
Implementation architecturereconstructed
Next.js (App Router)ReactTypeScriptTailwind CSSTanStack QueryReact Hook Form + ZodVercel AI SDKCloudflare R2ffmpeg pipelineSupabase (Postgres + RLS)Supabase AuthSupabase Edge Functions (Deno)
Challenges

Each constraint, and what we did about it.

Constraint

Robotic, high-latency TTS

What we did

Lifelike cloned voices

Constraint

No way to detect deepfakes

What we did

~75ms real-time streaming

Constraint

Executive-impersonation risk

What we did

Multimodal deepfake detection

Constraint

No media provenance

What we did

Watermark-based verification

Constraint

Closed, unauditable models

What we did

Open Chatterbox models (MIT)

Constraint

No compliance path for AI audio

What we did

EU AI Act-ready provenance

The future of voice AI is generation and defense together — capability enterprises can actually trust and audit.

Results

Outcome, with the source of every figure.

3-month engagement
98%
Deepfake detection accuracy.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
75 ms
Real-time synthesis latency.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
23+
Languages via Chatterbox.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
EU
AI Act-ready provenance.
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
Multi
Audio, image & video detection
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
Perth
Robust watermarking
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
MIT
Open-source models
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.
On-prem
Or cloud deployment
unsourcedPresent in the deck config; no corroborating figure in the vertical research docs.

By uniting lifelike generation with deepfake defense, Resemble gives enterprises voice AI they can deploy and trust — from studios to security teams.

Showcase

How the system fits together.

4 of 8 views
resemble-ai.example
Resemble AI — product interface
resemble-ai.example
Resemble AI — product screenshot
resemble-ai.example
Resemble AI — product screenshot
resemble-ai.example
Resemble AI — product screenshot
Roadmap

How it was sequenced.

3 monthsreconstructed delivery
Weeks 1–3

Discovery & shaping

MVP: voice cloning, streaming TTS, developer API.

  • Developer
Weeks 4–10

Core build

Detect (deepfake detection), real-time meeting checks.

  • Detection
Weeks 11–13

Launch & iterate

Verify watermarking, compliance tooling, enterprise scale.

  • Generation
  • Provenance

More work like this.

Every case study is a Coralsoft delivery story, with the evidence behind each figure kept visible.