Fully operational. Identity-locked talking-head that perfectly reproduces the person — voice, micro-expressions, and all.
One 16-minute interview becomes a model that regenerates the subject at indistinguishable grade — prosody, lip-sync, 196+ captured micro-expressions, emotional-range variants, breathing, laughter, beard geometry. The approach is model-agnostic: it wraps any video generator you can point at it. Synthesia $4B and HeyGen $500M sit inside a 12–18 month absorption window; the $42.29B avatar-video market opens structurally for products that ship per-frame cosine verification as a first-class property, and this is that product.
MEASURED · Fully operational · demoed live · model-agnostic
For enterprise executive-comms teams, multilingual localisation, media + entertainment (actor-likeness IP licensing), and sports (archive monetisation).
PROOF STACK
Every claim tagged.
SOURCE FOOTAGE
16 minutes, single subject, consented
LABELED TRAINING CLIPS FROM THAT 16 MIN
12,000+ (ClipCannon 23-stage DAG)
CAPTURED MICRO-EXPRESSIONS
196+ (each smile, laugh, inhale, pause — variant-aware, not repeated)
MODALITIES THE CONSTELLATION CONSTRAINS SIMULTANEOUSLY
Phonemes + visemes captured from every speech clip so new-utterance generation lip-syncs against the correct mouth shape
Rewritten FFmpeg kernel for CUDA 13.2 / Blackwell sm_120a on RTX 5090 — rendering pipeline optimised for identity-locked talking-head output
MARKETS UNLOCKED
What opens downstream.
$10–40B
Verification-grade synthetic media / anti-deepfake
$5–20B ARR
Enterprise brand-voice / executive-comms
$5–15B/yr top-50
Media / entertainment / sports archive monetisation
FREQUENTLY ASKED
Questions from every buyer.
It's working. A 16-minute interview of a single subject has been turned into a model that regenerates the person with prosody, 196+ captured micro-expressions, lip-sync against captured phonemes and visemes, and full emotional-range variants. A live use case clone-loaded a subject into Zoom and the other participants attended a class on the subject's behalf — without detecting the swap.
No. The approach is model-agnostic. EchoMimicV3 is the reference backbone we demo on, but the seven-modality constellation + LoRA + runtime guard can wrap any diffusion-transformer-style video generator you point it at.
Prosody, pitch, acoustics. Laughter, breathing, inhales, exhales, lip smacks, tongue movement. 196+ micro-expressions, so each smile / laugh / pause has its own variants instead of a single repeated expression. Beard geometry, which is typically a failure mode for talking-head avatars. Emotional range — high-tone, low-tone, and the behavioural variants inside each range.
Yes. Reference footage, the computed constellation, and the LoRA weights never leave the customer environment. Suitable for enterprise brand-voice, media licensing, and sovereign programs.
The LoRA training and video rendering run end-to-end on a single RTX 5090 today with a rewritten FFmpeg kernel targeting CUDA 13.2 / Blackwell sm_120a. Real-time streaming at photoreal grade is under active optimisation via a Rust compile of the rendering kernel; pre-Rust throughput is already fast enough for production video pipelines.
Subject provides informed written consent prior to cloning and retains deletion rights that do not sunset at publication. Release posture is protocol-level — the technical pipeline is disclosed, subject-specific artefacts are withheld — to balance reproducibility against identity-impersonation risk.