Building the Future of Device Intelligence
Lightning Research was born from academic research at one of the world's leading security conferences. We turned groundbreaking cross-browser fingerprinting science into a production platform that protects businesses from fraud, bots, and account abuse.
The Technology
How we identify devices across browsers without cookies.
Browser
42+ signals collected
GPU Tasks
WebGL render analysis
Audio
AudioContext extraction
Hashing
Stable hash generation
ML Match
Cross-browser matching
Device ID
Persistent identifier
Unlike cookie-based tracking, our fingerprinting uses hardware-level signals — GPU rendering patterns, audio processing characteristics, and canvas rasterization — that remain consistent regardless of browser, incognito mode, or VPN. The ML matching engine learns device signatures over time, improving accuracy with each identification.
Our Values
The principles that guide everything we build.
Privacy First
Security without surveillance. Our fingerprinting is privacy-compliant by design — no PII, no cookies, fully auditable.
Research Driven
Built on peer-reviewed NDSS'17 research. Every signal and model is backed by published science.
Accuracy Obsessed
99.5% isn't marketing — it's our benchmark. We continuously measure and improve cross-browser identification.
Developer Focused
Clean APIs, comprehensive docs, TypeScript-first SDK. Tools that developers love to work with.
Team
The people behind Lightning Research.
Abhinav
Founder & CEO
Security researcher and full-stack engineer. Led the original NDSS research on cross-browser fingerprinting.
Our Journey
Research Published
Cross-browser fingerprinting paper presented at NDSS — the foundation of our technology. First to demonstrate GPU-based identification across browsers.
Platform Launch
First production release with ML-powered matching engine, real-time analytics, and the JavaScript SDK.
Enterprise Ready
SOC 2 Type II compliance, on-premise deployment, dedicated support, and 99.99% SLA.
Global Scale
42 edge regions worldwide. Processing millions of identifications daily across fintech, e-commerce, and SaaS.
Open Research
Built on published, peer-reviewed science.
(Cross-)Browser Fingerprinting via OS and Hardware Level Features
NDSS 2017 — Network and Distributed Systems Security Symposium
The foundational paper that proved cross-browser fingerprinting is possible by leveraging OS and hardware-level features — specifically GPU rendering tasks that produce identical outputs regardless of which browser is used. Our platform implements and extends this research with production-grade ML matching and real-time scoring.
NDSS 2017 ProceedingsReady to get started?
Whether you're looking to integrate our platform or learn more about our technology, we'd love to hear from you.