Pixalytica
PaidAI-powered KYC reports using facial recognition from publicly available sources
About Pixalytica
Pixalytica is an AI-powered SaaS platform that generates comprehensive KYC reports using facial recognition on uploaded photos, drawing from publicly available online sources. Users upload an image of an individual, and the tool performs real-time web scraping to locate matching faces across indexed pages, analyzing data with large language models to compile reports on identity, PEP status, sanctions, criminal associations, fraud risks, and more. This enables non-document-based verification, delivering structured summaries with risk scores, profile details, and image sources in under 20 seconds via user panel or API.
The platform benefits industries like fintech, law enforcement, cryptocurrency, OSINT, cybersecurity, insurance, and others requiring identity verification, background checks, and risk assessment. It supports use cases such as confirming client identities, screening for politically exposed persons (PEPs), detecting sanctions and criminal records, fraud prevention, and employee vetting, all without needing identification documents—provided users have consent or legal basis.
Pixalytica indexes over 300 million pages and claims 92.7% accuracy in high-risk individual detection, making it suitable for high-stakes compliance and security needs. Reports include similarity scores, crypto activity, white-collar crime mentions, and suspected criminal activity, positioning it as a tool for rapid, automated OSINT-driven investigations.
Key Features
Pros & Cons
- Appears to generate reports in under 20 seconds
- Covers extensive public data sources with claimed high accuracy
- Supports API for integration into workflows
- No identification documents required—just a photo
- Tailored for multiple high-risk industries
- Includes risk indicators like sanctions and criminal links
- Requires user consent or legal basis for photo use
- Relies solely on publicly available data, which may be incomplete
- Pricing model is paid; exact plans should be verified
- Accuracy claims like 92.7% should be independently tested
- Dependent on internet access and web indexing quality
Best For
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