Every Interaction Leaves a Trace
We believe every digital interaction leaves a trace. Our job is to read it.
Our Story
tracio.ai was founded in 2024 by a team of ex-Cloudflare and ex-Stripe engineers who spent years building bot management and fraud detection systems at scale. We saw the same problem from both sides: Cloudflare's bot management team needed better device signals, and Stripe's fraud team needed fingerprinting that actually worked across browser updates and privacy settings.
The existing solutions were either closed-source black boxes that demanded you hand over your visitor data, or open-source libraries that broke every time Chrome shipped an update. We knew there was a better way — a system built on deep hardware signals, AI-powered cross-session matching, and an architecture where your visitor data stays yours: processed on infrastructure we run and audit ourselves, with EU data residency, never pooled with other customers and never resold.
We built tracio.ai to be the device intelligence platform we wished we had at Cloudflare and Stripe. Today, we process over 100 million events per month across 4 data centers, with a team of 12 engineers who believe that precision, speed, and transparency are not optional — they are the foundation.
Our Values
Precision
Every signal matters. We measure uniqueness, stability, and cross-validation accuracy for each of our 300+ signals. If a signal does not improve identification, we remove it.
Transparency
No black boxes. Our client SDK is open source. Our documentation explains every signal we collect and every decision our engine makes.
Speed
Signal collection runs asynchronously in the browser and scoring happens on our servers the moment the event lands. We obsess over latency because every millisecond of delay is a millisecond your fraud defense is blind.
Engineering Excellence
We ship production-grade infrastructure built to handle 50K events/second. Go and Rust on the backend, ClickHouse for analytics, Kafka for streaming. No shortcuts.
Built to Scale
Built for Scale
Engineering targets for the Device Identification processing infrastructure — the load, delivery durability, and availability the platform is architected to handle.
Design targets for our infrastructure, not live production readings.
What Makes Us Different
Most fingerprinting solutions rely on simple hash concatenation: collect a few signals, hash them together, and hope the result stays stable. This approach breaks down the moment a browser updates, a user changes a setting, or an OS patches a rendering engine.
Tracio takes a fundamentally different approach. Our Device Identification engine separates signals by stability — hardware-level signals that rarely change form the core identity, while volatile signals are processed through AI-powered matching algorithms that tolerate expected drift.
Combined with Bot Detection for automation detection, Smart Signals for server-side intelligence, and IP Intelligence for IP analysis, we provide a complete device intelligence platform — fully managed, running on infrastructure we operate and scale for you, with EU data residency.
Device Identification
99.5% accurate device identification using proprietary identification algorithms and AI confidence scoring.
Bot Detection
Multiple detection methods identifying the major automation frameworks with near-zero false positives.
Smart Signals
35+ server-side intelligence signals for VPN, incognito, tampering, and anti-detect scoring.
IP Intelligence
VPN, proxy, and Tor detection from commercial IP intelligence, plus velocity tracking.
Ready to get started?
Try Tracio free with 2,500 API calls per month. No credit card required.