Catch failures before the line stops.
Machines stream telemetry around the clock. Blackbox condenses it to the signals that matter, so AI can watch every machine — not just the critical few — without an unaffordable bill.
Unplanned downtime is expensive. Watching every machine shouldn’t be.
Surprise breakdowns
A failed bearing or pump stops the line and the schedule. Most failures show early signs nobody had time to see.
Too much data to watch
Thousands of tags per line, sampled every second. Teams watch a handful of dashboards and miss the rest.
AI that costs too much to run
Sending every reading to an AI model continuously costs more than many of the failures it would catch.
Your machines already tell you what’s wrong.
The signals are in your PLCs, historians and maintenance logs. The hard part is reading all of it, continuously, at a cost that makes sense.
Althyra reads from the systems you already run. Nothing to rip out, and no changes to control logic.
Hours of telemetry. One clear call.
Three machines, three early warnings. See what the model receives with and without Blackbox.
- Repeats removed✓
- Structure kept✓
- Signal kept✓
Illustrative example data. Character counts are measured on the text shown here. The 71% figure comes from our internal test workflow, not this demo.
AI that watches everything, affordably.
With less to read per request, AI can monitor continuously instead of sampling. Here’s what that makes possible.
Predictive maintenance
Spot failure patterns days before breakdown and schedule the fix into planned downtime.
Root-cause support
Link a quality or downtime event to what the machines were doing just before it.
OEE and performance
See where availability and performance are lost, machine by machine.
Quality early warning
Catch process drift that leads to scrap before the parts are made.
Energy use
Find machines using more power than they should for the same output.
Maintenance copilots
Give technicians a plain-language summary of what a machine is doing and why.
For manufacturing, Atlas — our predictive maintenance application — is built for this, and runs on Blackbox. We’re taking pilot partners now.
Discuss a pilot →Start small. Prove it on real data.
Pick one scope
One line, asset group, region or route — somewhere a better early warning is worth real money.
Connect read-only
Althyra reads from your existing systems. It doesn’t write to them or touch control logic.
Run alongside your team
Blackbox and AI flag what they see. Your engineers review every finding.
Review the results
Together we measure what was caught, what it would have cost, and decide what’s next.
Questions teams ask first.
Does Althyra control our equipment?
No. Althyra reads data from your existing systems and gives recommendations. It doesn’t write to control systems, and your team approves every action.
Do we need new sensors or systems?
Usually not. We start with the data you already collect and the systems you already run.
Which AI model does it use?
Blackbox works with any model — hosted AI APIs, open-source models or your own — so it fits your security and vendor requirements.
What does a pilot cost?
Pilot scope and pricing are agreed with you up front, based on the machines and data involved.
How is our data handled?
Data access, confidentiality and retention are agreed with you before the pilot starts. Deployment is scoped to fit your security needs.
Let’s find the first win in your manufacturing data.
Tell us about your assets, systems and the problem you most want to solve. We’ll suggest a pilot scope.