Manufacturing
Build on the data your operations already produce.
Deploy on a single server, find the signal buried in years of operational data, and act on results within days.
Fast by design
From raw data to a working model in days.
Data stays put
On-premise or private cloud. Production and sensor data never leave your infrastructure.
Built for scale
Processes billions of sensor readings a day on a standard server.
Our approach
Built for what manufacturers actually need.
Runs on your infrastructure, on-premise or private cloud, deployed in days, connecting natively to the production, ERP and historian systems you already run.
Anatella | Data prep engine
Connect to any sources
Sensors, PLCs, historians, ERP and production logs, whatever format they’re already in.
Clean and join at full scale
Billions of rows of mixed-format data, aggregated and reconciled without sampling.
One pipeline, one server
From raw files to a model-ready dataset, no separate ETL tool, no cluster.
Modeler / Predictive Engine
Automatic variable selection
Thousands of candidate variables, reduced to the ones that actually predict the outcome.
Algorithms competing mathematically
Several models benchmarked against each other, the best retained on statistical merit.
Built-in Drift Report
Flags a model losing accuracy as conditions change, before it costs a bad decision.
SOLUTIONS
What it looks like in production.
94% of failures predicted, 30 minutes ahead
Predictive maintenance deployed in under a week on a 24/7 aerospace production line.
97% defect accuracy, classified in under 12sec
AGC routes laser-scanned glass defects to the right customer, in real time.
98% accuracy predicting truck engine failure
SANY flags engine failure within an hour, across 355 sensor variables.
€1.3M more revenue, €19.6M in repairs avoided
GX Labs predicts pump failures across 5,000 remote wells, before the well shuts down.
1,400+ sensors modeled per battery stress test
Volvo isolates which variables degrade EV batteries under thermal shock.
Problems solved
What manufacturers fix with TIMi.
Signal lost in the noise
Critical signals get lost in terabytes of logs, sensor readings and production records.
Decisions made too late
By the time an anomaly surfaces in a report, the cost is already locked in.
Models that drift from reality
A model tuned for one condition quietly loses accuracy when the process, the season or the environment changes.
Data siloed by team
Maintenance, quality and engineering teams each sit on their own data, modeled separately or not at all.
FAQ
Common questions.
What is TIMi used for in industrial manufacturing?
Manufacturers use TIMi to predict equipment failures before they happen, classify production defects in real time, and accelerate R&D testing. Deployments include Safran (predictive maintenance for aerospace production), AGC (defect classification for glass manufacturing), Sany (mining truck engine failure prediction), GX Labs (pump failure prediction in oil wells) and Volvo (EV battery R&D).
How does TIMi handle a model that loses accuracy over time?
TIMi’s built-in Drift Report flags when a model’s accuracy shifts, as it did for Sany when a summer-trained model decayed in winter, allowing engineers to deploy season-specific models.
Can TIMi predict equipment failures without adding new sensors?
Yes. For Safran, TIMi built a predictive maintenance model using only existing production data, no new sensors, reaching a 94% failure recall rate with 30 minutes of advance warning.
Can TIMi run on-premise for an industrial deployment?
Yes. TIMi runs on-premise or in a private cloud, on standard server hardware, including on remote sites such as the oil wells GX Labs operates.
Can TIMi handle noisy or unreliable sensor data?
Yes. For AGC, TIMi modeled furnace thermal dynamics at 1,400°C, where physical sensors degrade and produce noisy data that traditional tools cannot process.
How much manufacturing data can TIMi process?
For Safran, TIMi processed 10 billion rows of production data, where fewer than 0.5% of rows corresponded to an actual breakdown, to find the failure signal.
SEE FOR YOURSELF
Don’t take our word for it.
Run TIMi on your own data with a free trial or request a live demo.
