The internet’s trust layer
Verified creators sign their work before they publish. Anyone can then confirm it’s genuinely theirs and unaltered — wherever it travels, even after a platform re-encodes it.
Checking is free for everyone, forever.
The gap
Generative models now produce images, video, and audio that people cannot reliably tell apart from real recordings. The cost of a convincing fabrication has collapsed to near zero. The tools for proving something is real have not kept pace.
That leaves one structural gap: anyone can fabricate content, but no one can prove authenticity. The missing piece is verifiable provenance — a way to establish that a specific piece of content came from a specific person and has not been altered since.
How it works
Sign your content before you publish.
Send a finished piece to Maester before publishing — through the app, the web, or a mobile share-sheet.
Maester confirms your identity, then signs and registers the file in a tamper-evident registry.
Your content comes back with a verification record you can rely on wherever you post it.
Confirm what you’re about to trust.
A browser extension marks verified content right in your feed — the primary way to check, free for anyone.
Paste a link or upload a file to check it directly, any time.
Maester reports who it’s verified by and whether anything changed — or that there’s no verified record yet.
The AI engine
Maester is fundamentally an AI company. Signing gives certainty for content that carries a record; a set of multimodal models gives coverage for the messy reality of altered copies and content with no record at all. That coverage layer is where most of our research and compute go.
Matches altered or re-encoded copies back to a verified original, so the proof survives the trip through a platform.
Pinpoints which region of a near-match copy was changed, rather than only flagging that something is off.
Binds a real, present human to an account at the moment of verification, so a credential maps to a person.
A secondary risk signal for content that carries no record — useful as input, never as the final word.
Estimates which family of models produced a synthetic asset, adding context to an uncertain verdict.
Honesty is the product
Maester can state definitively that a specific file came from a specific person and has not been altered since. That is a fact, not a guess.
Maester reports exactly that — “no verified record” — and nothing more. The absence of a record is never presented as proof that something is fake. It only means nothing has been registered yet.
Who it’s for
Maester starts with creators and public figures — politicians, executives, journalists, and well-known online creators. They are the highest-value targets for impersonation, they have the motivation to act, and their verified work reaches the widest audiences.
When verification rides on content millions already watch, checking becomes a habit — without any separate distribution effort.
Pricing
Verification grows the network and builds the habit. Revenue comes from the people who need to be verifiable — creators and organizations — never from the people checking.
Independent creators and public figures.
$19/mo
or $179/year — save 21%
Teams, agencies, and representatives who manage several people.
$59/mo
or $590/year — 2 months free
Studios, campaigns, and media organizations.
Custom
Volume, SSO and SLAs
Tiers differ by scale and management, not by access to verification. Every plan starts with a 14-day free trial — no card to begin. Save with annual billing.
Questions
A verified person established that this exact file is theirs and has not been altered, and that was recorded in a tamper-evident registry. It is a statement about provenance, not a quality rating.
Yes — checking is free for everyone, forever. Revenue comes from creators and organizations who subscribe to be verifiable, never from the people checking.
Maester reports “no verified record,” plainly. That is never a claim that the content is fake — only that nothing has been registered for it yet.
Detection guesses real-or-fake and gets weaker as generative models improve. Maester proves provenance from a signature and uses AI for coverage, not as the source of truth.
Embedded provenance is sound in principle but fragile in practice — platforms routinely strip it and re-encode media on upload. Maester’s record lives outside the file and re-links to it with a neural fingerprint.
Yes. When a copy is re-encoded or altered, the neural fingerprint matches it back to your original, so the verification still holds.
Creators and public figures — the people most targeted by impersonation, and whose verified content reaches the widest audience.
Before publishing, submit it through the app, the web, or a mobile share-sheet. Maester confirms your identity, then signs and registers the file.
Get verified so your work carries proof — or check what you’re about to trust. Checking is always free.