It all began with machine learning (ML) algorithms developed by our co-founders – Greta Cutulenco, Sebastian Fischmeister, and Jean-Christophe Petkovich – in the world-renowned engineering laboratories at the University of Waterloo. Their collaboration resulted in Acerta LinePulse, a suite of SaaS solutions for precision manufacturing to enhance on-station and end-of-line testing, accelerate root cause analysis, and improve first-time through (FTT) yield.
Out of LinePulse grew our second offering, Acerta Professional Services: customized solutions developed according to customer data and specific needs. These services leverage our team’s domain expertise acquired through years of working on machine learning and artificial intelligence (ML/AI) solutions for automotive and off-highway vehicle manufacturing.
We Turn Complex Data into Actionable Insights
Driven by data science and forged from industrial experience, Acerta helps precision manufacturers turn complex product data into actionable insights.
- Our CEO and co-founder, Greta Cutulenco, works directly with automotive OEMs and Tier-1 manufacturers, helping them to make sense of their data. Named to the Forbes 30-Under-30 list for Manufacturing and 2019’s Canadians to Watch by Automotive News, Greta is also an Automotive Parts Manufacturers’ Association (APMA) board member.
- Our CSO and co-founder, Sebastian Fischmeister, is a professor with over 20 years of academic experience at the University of Waterloo and the University of Pennsylvania in data collection, analysis, and ML/AI applications.
- Our CTO, Alan Tan, is a 13-year SAP veteran. He brings 25+ years of technology leadership experience in cloud solutions, IoT data strategy, and operationalizing machine learning. A data scientist of UC Berkeley and a Kellogg MBA, Alan is a pioneer in bringing near-zero-maintenance machine learning to the plant floor and on-road-vehicle ecosystems.
- More than half of our in-house engineers are experts in data science and ML/AI technologies.
Together, our team combines the ability to operationalize ML/AI with in-depth knowledge of the automotive, transportation, and precision manufacturing industries to unlock hidden value contained within vehicle data.