Why now

Generative media made every photo deniable. Regulation is about to make every photo accountable.

Between the two sits a proof gap that signatures cannot close and detection cannot keep up with. VeraCapt fills it at the only point where it can be filled: the moment of capture.

Patent pendingEP 26206878.6 · European Patent Office
Aug 2026EU transparency obligations for generated and manipulated media apply; California's AI Transparency Act has been in force since January 2026 [4]
> €6 bninsurance fraud per year in Germany alone – about half of suspicious claims concern vehicles [1]
4.2.2.8the section of the open content-provenance specification stating that a signature does not prove a real scene [2]
Sources
  1. EU Artificial Intelligence Act, transparency obligations for AI-generated or manipulated content applicable from August 2026; California AI Transparency Act (SB 942), in force since January 2026.
  2. GDV (German Insurance Association), press release 2 May 2024: insurance fraud in Germany causes damage of more than €6 billion per year; roughly one in ten claims raises suspicion; about half of the suspicious claims are motor claims.
  3. C2PA Technical Specification 2.x, section 4.2.2.8: a valid manifest and signature do not prove that the captured content depicts a real scene; the specification names the recapture of a screen or print as out of scope.
Market

Two markets converge on one question: was this really captured?

Content provenance

About USD 2.1 bn in 2026, with forecasts around USD 5.1 bn by 2030 [5]. Provenance standards are becoming the distribution rail; they carry a proof of real capture but do not provide one.

Deepfake defence

About USD 1.1 bn in 2025, with forecasts of USD 5–8 bn by 2030 [5]. Almost entirely detection – the approach that scales with the attacker.

Read the forecasts with care. Published market sizes for these fields diverge by more than a factor of twenty between publishers, and the documented loss from manipulated images is far smaller than the headline figures in circulation. We use these numbers as an indication of direction, not as a basis for our plan.

Sources
  1. Industry reports 2025–2026 on content provenance (about USD 2.1 bn in 2026, forecasts of about USD 5.1 bn by 2030) and on deepfake defence (about USD 1.1 bn in 2025, forecasts of USD 5–8 bn by 2030). Forecasts from different publishers diverge by more than a factor of twenty; treat as indications, not facts.
Defensibility

Three moats, in order of durability

01

The standard

An open verifier and a certification mark tied to decisions that cost money – a claim paid, a deposit returned, a draw released. Once required by the paying side, it is required of everyone.

02

The network

Witness devices at dealers, workshops, sites and buildings. Density cannot be rebuilt overnight, and every proof makes the register more valuable.

03

The patent

European patent application filed on 23 September 2026 covering the core of the method. Patent pending.

Route to market

Motor claims first. The rest follows the same logic.

VeraCapt builds on Comcentra Logs, whose customers – fleets and dealers – already work with sealed vehicle handover records. Motor claims come first; lending, construction and rental follow the same pattern: a photo, an amount, a decision. Status: working prototype, pilot partners being selected.

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