Sensity
Amsterdam-based deepfake detection company that won a major EU innovation grant to build forensic-grade synthetic media detection for law enforcement and financial institutions.
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Sensity (formerly Deeptrace Labs) is an Amsterdam, Netherlands-based company founded in 2018 by Giorgio Patrini and Francesco Cavalli. It builds AI and deep-learning models that detect manipulated or synthetically generated video, images, audio, and identities, offered through a cloud API or on-premise deployment for customers in regulated sectors.
In July 2026, Sensity was selected by the European Innovation Council for a €4.9 million grant, including €2.5 million in non-dilutive equity-free funding, chosen from among 1,760 applicants across Europe. The award is earmarked for building forensics-focused detection models and real-time analysis capability, and follows an earlier $2.1 million round led by Auriga Cyber Ventures with participation from Betaworks Ventures. Sensity’s stated customer base spans law enforcement, digital forensics labs, KYC providers, financial institutions, and government agencies confronting a rising volume of deepfake-enabled fraud and disinformation.
Sensity’s differentiator is its forensic orientation: rather than a generic “AI or not” classifier aimed at consumers, it targets the evidentiary rigor that law enforcement and financial-crime investigators need when a detection result may need to hold up in an investigation or compliance review.
Innovation Matrix Assessment
Sensity progressed from an earlier seed round to winning a competitive €4.9M EIC grant in mid-2026 specifically to build out forensic-grade detection models, showing a credible pace of capability expansion.
Gives forensics, KYC, and law-enforcement teams a concrete tool to flag synthetic media as deepfake-enabled fraud volume rises, filling an operational gap existing fraud and identity tools don't cover.
The EIC selection (from 1,760 applicants) and named seed investors are independently reported; broader enterprise adoption figures beyond general sector descriptions were not found.
Deepfake detection addresses a genuinely new and fast-growing threat category created by generative AI, though Sensity competes with several other detection vendors in a quickly consolidating space.
The EIC grant is explicitly funding better forensic-grade models, implying current detection accuracy still has real room to improve; no independently verified detection-accuracy benchmark or named incident case was found.
As generative AI makes synthetic media easier to produce, detection capability for forensics, finance, and law enforcement will only grow in importance over the next several years.
Why CISOs Should Care
Gives security, fraud, and compliance teams a dedicated detection layer against deepfake-enabled social engineering, financial fraud, and disinformation that traditional identity and email security tools don't catch.
What Makes It Different
Built specifically for forensic/evidentiary use by law enforcement and regulated institutions, rather than as a general-purpose consumer deepfake checker.
The Matrix Verdict
65/100 — INCREMENTAL INNOVATOR
Sensity lands as an Incremental Innovator with real momentum: its EU grant win and law-enforcement/forensics focus are independently credible, but deepfake detection accuracy and adoption at scale are still maturing industry-wide.
Editorial Note: Claims vs. Verified Findings
The EIC grant amount and competitive selection are independently reported by EU-linked press; specific customer names, total funding figures, and detection-accuracy claims are drawn from company and aggregator profiles that could not be independently verified.
Sources
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