Failure reverse engineering
Bearings, gears, shafts, and electrical systems stressed to failure under controlled conditions, mapped from first symptom to catastrophic event. One week here equals four years in the field.
TRACTIAN AI CENTER
The only place Tractian wants machines to fail
100,000+ sq ft of applied-AI infrastructure in São Paulo, integrating hardware engineering, software development, and data science under one roof. Every sensor, every model, and every diagnostic algorithm ships from here.
Industrial AI that works on a plant floor cannot be developed in a generic cloud environment. It requires real machines, real operating conditions, and physical proximity to failure.
Tractian AI Center exists to close that gap.
WHAT IT IS
A controlled replica of the factory floor, built for invention
The AI Center is a dedicated R&D campus that reproduces real industrial environments under controlled conditions.
Four specialized laboratories (mechanical manufacturing, metrology, chemistry, and electronics) support the full development cycle from sensor prototyping to AI model training. The same machines Tractian monitors at client sites operate here, under controlled conditions, with hardware and software teams building side by side.
OUR UNFAIR ADVANTAGE
The largest vibration-spectra dataset in the industry
Every predictive model Tractian ships is trained on a proprietary dataset of machine vibration, ultrasound, and electrical signatures, collected continuously from sensors deployed across 1,500+ industrial operations worldwide. The dataset compounds daily. Every new sensor installation adds signal. Every confirmed failure adds precision.
BUILT FROM SCRATCH
Proprietary infrastructure, from silicon to software
Tractian's AI models are trained, fine-tuned, and deployed on dedicated NVIDIA GPUs running on bare-metal infrastructure, fully isolated within Tractian's own environment - in partnership with Oracle Cloud.
This architecture powers private, industry-specific reasoning models trained on proprietary sensor data, work order history, and deep process context, without exposing client data.
+300K
failures intercepted
$304M+
capital returned to customers
150+
models in production
$10M+
invested in infrastructure
200+
engineers across areas
WHAT WE BUILD AND TEST
We break real machines to teach the models how failure begins
Hardware validation in real conditions
Sensors and gateways running under the same vibration, temperature, chemical, and electromagnetic conditions as a live plant. Every product is validated against real operating conditions before it ships. The goal: a sensor deployed today still performs at specification three years from now.
AI model training on physical data
Every induced failure generates labeled training data fed directly into detection and diagnostic models. Rare failure modes reproduced in controlled cycles, not waited on for years in the field.
WHAT THIS MEANS FOR YOU
Every improvement here reaches every sensor already deployed
Advances validated at the AI Center flow directly into the Tractian platform as software and firmware updates. Earlier anomaly detection. More accurate root-cause diagnosis. Fewer false positives. Wider failure coverage.
No reinstallation.
No upgrade cycle.
No additional hardware.
The same sensor a plant installed last year benefits from models trained this week.
We built the AI Center because industrial AI cannot be developed in abstraction. You need the machine in front of you. You need to induce the failure, capture the data, train the model, and validate the result, all in the same building.Igor Marinelli, Co-Founder & CEO
Go deeper into the AI Center
Explore the technical infrastructure, engineering culture, and research that powers every Tractian product.