What you actually get from Sensity AI
Sensity AI is an Amsterdam based deepfake detection company founded in 2018 by Giorgio Patrini and Francesco Cavalli under the original name Deeptrace Labs. It runs a multilayer detection engine that analyzes visual artifacts, audio spectra, and file container metadata to flag manipulated images, video, and audio, and produces court-ready forensic reports with confidence scores and audit trails. The company targets forensic investigators, law enforcement, defense agencies, banks, and insurers rather than casual consumers, offering both cloud-hosted and on-premise deployment. Sensity closed a $2.1m funding round in January 2026 and was awarded a EUR4.9m European Innovation Council grant in July 2026.
Sensity AI pricing
Sensity AI does not publish a public rate card. No public pricing page found. Sensity sells cloud and on-premise deepfake detection through a custom sales quote only.
Source: sensity.ai/, read 2026-09-07.
No public rate card. Any number you see quoted for Sensity AI on a comparison site is a third-party report, not a vendor price. Ask for the contract minimum and the termination clause on the first call.
Strengths
- Multilayer forensic analysis combining pixel, audio, and file-container signals rather than a single classifier
- Court-ready forensic reports with audit trails aimed at legal admissibility
- Cloud and on-premise deployment options for high-security environments
- Backed by EU Innovation Council grant funding and profitable per its own January 2026 funding announcement
- Reports 98% accuracy on public datasets
Weaknesses
- No self-serve pricing published anywhere on the site, a sales call is required for any quote
- Positioned narrowly for forensic and government buyers, not general businesses or consumers
- Accuracy figures cited are vendor self-reported, not from an independent third-party benchmark
- Small company by funding size relative to the enterprise buyers it targets ($5.86m total raised)
Best for
- Law enforcement and digital forensics investigators
- Government, defense, and intelligence agencies
- Banks and insurers needing evidentiary-grade deepfake reports
Not ideal for
- Individuals or small teams wanting instant self-serve pricing
- Casual one-off image or video checks
- Buyers wanting a free tier or trial without contacting sales
Sensity AI tracks a brand. Reputation damage attaches to a person
Sensity AI is built around an organisational subject, which is the correct design for the job it was built to do, and it does that job.
Reputation damage does not stay organisational. It attaches to named individuals: a founder, an executive, a partner, a practitioner. Those names are searched separately, indexed separately, and increasingly summarised separately by AI assistants, and brand-scoped tooling does not watch them. The entity being harmed and the entity being monitored are not the same entity.
A confident paragraph merging two people reads exactly like a confident paragraph about one.
Name collisions make it worse. Share a name with someone who has a public record and you inherit that record, in the eyes of anyone searching casually and of any system summarising sloppily. Brand monitoring never surfaces it, because your brand was never mentioned. The damage lands on a person the tool was never pointed at.
Where this lands in 2026
Assistants conflate people constantly, and they do it with total fluency, which is what makes it dangerous. A confident paragraph merging two people with the same name reads exactly like a confident paragraph about one, and the only way to find it is to ask the disambiguation question directly.
That is why this review sits on the site of a firm that competes with Sensity AI. The argument is not that Sensity AI is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
A detection score is evidence, not a remedy. The work that ends a deepfake is the takedown chain: platform reports, hosting complaints, registrar escalation, and the paper trail that survives a re-upload.
Key facts
- Founded 2018 as Deeptrace Labs by Giorgio Patrini and Francesco Cavalli, headquartered in Amsterdam, Netherlands
- Closed a $2.1m funding round in January 2026 led by Auriga Cyber Ventures
- Awarded a EUR4.9m European Innovation Council grant, announced July 2026
- Reports 98% accuracy on public deepfake datasets; deployed across government and corporate forensic use cases on four continents
Sensity AI covers one lane. We cover the surface.
You get deepfake & synthetic-media removal as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
- sensity.ai/
- sensity.ai/blog/forensic-grade-deepfake-detection-sensity-ai-raises-2/
- www.cbinsights.com/company/deeptrace
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.