Resources
Technical guides, industry reports, and practical case studies in identity investigation. Master OSINT methodology and AI investigation tools.
Identity investigation is a rapidly evolving field combining OSINT, AI, biometrics, and data analytics. This resource center brings together technical guides, industry reports, and practical case studies to help you master OSINT methodology and the latest advances in AI investigation tools. Whether you are a security analyst, HR professional, journalist, or investor, these resources will help you better understand and leverage AI-powered identity investigation technology.
Resource Overview
Technical Guides
Identity Investigation Starter Guide
Learn the fundamentals of identity investigation — concepts, methodology, and tools. Ideal for professionals new to OSINT and identity verification.
Complete Guide to Evidence Levels E1-E5
Deep dive into the five-tier evidence classification system. Learn how to evaluate source credibility and properly tag evidence levels in investigation reports.
Cross-Validation Best Practices
Master multi-source cross-validation techniques including independent source selection, handling conflicting information, and calculating verification confidence.
Face Search Technology Deep Dive
How deep learning CNN models (FaceNet, ArcFace) work — embedding vector generation, cosine similarity matching, and achieving 99.5%+ accuracy.
Semantic Search & Natural Language Queries
How to describe target audiences in natural language and how AI interprets intent to discover matching individuals. Includes 10 practical query examples.
Identity Verification in Due Diligence
Identity verification workflows for investment and compliance scenarios, including KYC requirements, risk assessment, and using investigation dossiers.
Industry Reports
2026 Identity Investigation Industry Report
Industry analysis based on 10,000+ investigations, covering investigation time, source quality, trust score distribution, and verification success rates.
AI Identity Verification Accuracy Benchmark
Detailed test results and comparative analysis of Seme face search across LFW, CFP-FP, and AgeDB-30 benchmark datasets.
OSINT Source Quality Assessment Report
Systematic evaluation of 50+ commonly used OSINT sources, including data freshness, coverage, accuracy, and API availability.
Case Studies
Recruitment Background Check: Uncovering Resume Fraud
A tech company used Seme to verify a senior engineer candidate's background, discovering multiple inconsistencies in claimed degrees and work history. Investigation completed in 25 minutes vs 3-5 business days traditional.
Investment Due Diligence: Identifying Associated Risks
A VC firm used Seme for deep investigation on a founder before investment, discovering undisclosed affiliated companies and legal disputes. Investigation covered 18 independent sources with 82% trust score.
Corporate Security: Supplier Identity Verification
A manufacturing company used semantic search to discover all individuals associated with their suppliers, identifying potential conflicts of interest and compliance risks.
Frequently Asked Questions
What is OSINT?▾
OSINT (Open Source Intelligence) is collecting and analyzing publicly available information for actionable intelligence. Seme uses OSINT methodology for automated identity investigation.
How to start an identity investigation?▾
Three ways: upload a photo (Face Search), provide name+background (Deep Research), describe criteria in natural language (Semantic Search).
Platform Data
Seme has helped security teams, journalists, and HR professionals complete thousands of identity investigations. The platform is based on OSINT best practices, all data sources are publicly available information, and it complies with GDPR data processing requirements.