tesa
Manufacturing data analytics
Consultants estimated weeks to access machine data. Staff now use GenAI to write SQL and query sensor streams in hours.
- 1 week to onboard new plant operations
- Machine data extraction cut from weeks to hours
Massive servers ran 24/7 to avoid restart delays. GenAI ported code to run natively, cutting deployment time from months to days.
A B2B chemical manufacturer producing the petrochemicals, fibers, and polymers found in everyday plastic products.
Deploying machine learning models previously took two months, and the team kept massive compute instances running 24/7 because restarting them was...
“My purpose is to really empower my team to provide a better data science product to our business, which allows them to make data driven decisions.”
Global manufacturer of chemical intermediates, polymers, and performance fibers.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Consultants estimated weeks to access machine data. Staff now use GenAI to write SQL and query sensor streams in hours.
Operations relied on local Excel sheets. Custom LLMs now translate tickets instantly and automate approvals across 600 sites.
Digging through massive PDFs took minutes. A governed RAG pipeline now retrieves technical answers in seconds.
Patent strategy relied on subjective manual judgment. AI now standardizes analysis, cutting research cycles from months to days.
IT staff logged in every six hours to check 30 systems. GenAI now automates monitoring, saving 3,000 hours and ending downtime risk.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.