The differentiator is not just model accuracy, but the ability to operationalize AI output into production decisions that increase throughput, reduce costs, and protect quality.
“In production, model performance alone is not enough,” said Greta Cutulenco, CEO of Acerta AI. “The challenge is to turn predictions into reliable decisions that optimize throughput and cost without compromising quality.”
Acerta’s unique approach clearly separates prediction from decision-making and transforms model output into decision-making policies that define trade-offs between expected cost, test coverage, and resource usage. These policies can be adjusted to reflect different modes of operation: conservative, balanced, or aggressive, depending on your operational requirements.
“In manufacturing, there are no ‘perfect’ models,” said Sergey Strelnikov, VP of Engineering at Acerta AI. “Therefore, it is important to go beyond prediction and explicitly link model outputs to operational metrics such as throughput, cost, and resource usage. Our approach focuses on policy-based decision-making, where the trade-offs between cost and risk are clearly defined.”
The system is intensively trained on large datasets, deployed at the edge of production, and operates under constraints on latency, reliability, and integration with physical systems. This cloud-to-edge deployment model ensures consistency between training pipelines and production operations.
The results were shared with the global powertrain and propulsion community at the 2026 International Vienna Automotive Symposium, highlighting the industry’s relevance and operational readiness. The paper, “Accelerating end-of-line testing of fuel cell stacks with machine learning: Early failure detection and cost reduction in production,” details the entire system architecture, including data ingestion, model training, edge deployment, and monitoring.
The symposium, organized by the Austrian Association of Automotive Engineers (ÖVK) in cooperation with the Vienna University of Technology, is widely recognized as the leading forum for powertrain and propulsion technology, bringing together OEMs, suppliers and researchers.
About Asserter AI
Acerta is an industrial AI company that enables discrete manufacturers to move to autonomous operations across their factories. Acerta leverages production data, machine learning, and AI to drive quality, throughput, and efficiency improvements at scale. Its proven technology and functional AI have been deployed on more than 400 production lines and thousands of assets in 12 countries around the world, delivering measurable ROI visible in real-world production environments to world-class manufacturers every day.
To learn more about how Acerta reduces test time, scrap, and quality deviations in discrete manufacturing, visit www.acerta.ai or contact us. [email protected].
media contact
Amber Moore, Moore Communications, 1 5039439381, amber@moorecom2.com
Source Acelta AI
