Media provenance and rights infrastructure
Register once.
Find every copy.
A signed identifier embedded in your media at creation, a fingerprint that finds every derivative after, and a record that belongs to you.
Fingerprinting of audio and images is built and tested. The OmniLock active watermark is in research. The platform is in private beta.
A record starts with your media.
An original asset enters the registration pipeline.
A pitch-shifted copy walks straight past waveform matching.
Inside OmniLock
An identifier inside the signal.
A closer look at the mid-band DCT coefficients explored by OmniLock. This concept animation illustrates the embedding and recovery goal.
In research · Concept previewThe identifier survives what the internet does to media.
How it is used
Three steps. One signed record.
Register
Submit your media and a fingerprint is computed on CPU, written to your catalogue with an Ed25519-signed attestation that anyone can verify.
Detect
A query file is fingerprinted and matched against your catalogue; the engine returns a verdict of Exact, Perceptual, or Miss.
Prove
The signed attestation record carries three public fields and is verifiable by anyone, with no account and no network call to the original issuer.
From the workbench
Working code.
An open roadmap.
Audio and image fingerprinting, isolated catalogues, and signed attestations are built and tested. Here’s where the rest stands.
06
Built and tested04
In development01
Research02
PlannedAuth
Sign-in, organizations and roles
Billing
Plans and checkout read live from Stripe
Activation after payment still being verified.
Fingerprinting
Audio fingerprinting (WAV, FLAC, MP3) and image fingerprinting (PNG, JPEG, WebP) on CPU
Catalogue
Per-organization catalogue; one organization cannot search another
Verdicts
Verdicts: Exact, Perceptual, Miss
Thresholds provisional.
Attestations
Ed25519-signed attestations verifiable without an account
Who it is for
Built for organizations where provenance is a legal question.
One fingerprint plane, three high-stakes domains. Items marked (goal) are design goals, not yet in production. Pricing is contract-based; talk to us.
Major Label · Studio
Derivative detection at catalogue scale
Detect unauthorized derivatives, interpolations, and AI reproductions across a catalogue. Deterministic Morlet scattering fingerprints: no model, no retraining, no false-positive amnesty.
How:Fingerprint the catalogue at ingest (passive), embed new releases at creation (active, goal), one signed ledger.
write-once JSON audit trail · AGPL-3.0 + Commercial · on-prem, no egress
Generative music platforms
IP verification before distribution
Every generation gets a fingerprint at creation time. Match probability is computed against the rights-holder catalogue before the track ships. The JSON-RPC audit trail writes the compliance documentation automatically.
How:Sign outputs at generation; downstream verification never depends on you being online.
per-generation attestation (built) · IPFS pin hash (goal) · licensable origin certificate (goal)
IP Litigation · Forensics
Expert-witness-grade match probability
The Sliced-Wasserstein distance between two fingerprints is a number a judge can examine. Every comparison is a write-once JSON line. No opaque model, no black-box score: a mathematically interpretable result.
How:A linear parity check and an Ed25519 signature: public procedures, bit-exactly reproducible.
full audit replay · on-prem · zero data egress
Founders & creators
The people behind the platform
ARCHITECT, APPLIED AI / MLOPS
Samvardhan Singh
Systems, signal processing, and the CUDA substrate.
Automation engineering, AI/MLOps pipelines, and engineering outcomes.
Maintains omni-wst-core, omni-ffi, omnipulse-agent.
ARCHITECT, SYSTEMS / OPTIMAL TRANSPORT
Yash Mishra
Scattering research and the passive engine.
Concurrent systems, optimal transport, and real-time indexing logic.
Maintains vector-index, sliced-wasserstein.
Pilot program
Run a pilot with us.
We are onboarding a small number of pilot partners for the merged platform: labels, generative platforms, and rights organizations. You bring a catalogue or an output stream; we bring the registry, the embedding, and the verification procedure. Honest engineering, no black boxes, and we will tell you what is measured versus what is still a goal.
Or reach us at shekhawatsamvardhan@gmail.com or browse the source on GitHub. Core is AGPL-3.0 + Commercial.
What a pilot includes
Registry setup and key provisioning
Catalogue fingerprinting run
Active embed test on a sample release
Verification procedure walkthrough
Honest report on what worked and what did not