Diagnose Manufacturing Inefficiencies & Defects in Minutes, Not Weeks

Optimize factory operations and reduce defects with fast-turnaround analyses from digital workers.

The Overarching Problem:
You can’t spare months analyzing your data

When a defect hits, every hour counts. Lost materials, wasted production, and missed quotas stack up fast. But traditional Root Cause Analysis takes weeks, and the results come back in data science terms that plant teams can’t use at the moment.

Problem:
Detecting Root Causes is too slow

Data Silos, multiple SaaS tools and static dashboards are slowing your teams down.

Problem:
Generic tools guess, they don't know why

Problem:
AI in manufacturing is too expensive

“We typically scale [analysis] by hiring a lot of people. With causaLens agents, we can do this in a day, not a month, saving time for treatment for the patients and ROI for the company.”

Juan Carlos Araque, Principal Scientist
Johnson & Johnson

The Solution:
Root Causes at your fingertips

Put the power of Root Cause Analysis in the hands of the people who need it. With causaLens digital workers, plant teams can ask questions in natural language and receive accurate answers quickly, in plain English.

Solution:
Insights in Seconds

Our Digital workers plug into your live data sources and extract insights in real time. Say goodbye to the operational chaos with multiple tools & dashboards.

Solution:
Grounded in Causal Reasoning

Solution:
Operationalized in weeks, not years

How it Works

When you discover a failure or inefficiency in your process, you submit a request to the RCA orchestrator agent in natural language (or trigger it from another system).
The orchestrator determines what will be necessary to clean the data, model it, determine the most likely failure, and communicate the results back to you. It assigns the work to specialized agents for each of these tasks, and together they return a quantitative RCA in a fraction of the time of other options.