A data-driven, end-to-end analytics and quality-control platform ingests test equipment data, automates analyses, and delivers predictive insights to speed battery decisions, replacing spreadsheets and DIY workflows with scalable, AI-powered decision support. Features include seamless multi-instrument data integration, AI-enabled formation optimization, automatic cell grading, EOL testing, HPPC and EIS analytics, dQ/dV and DCIR calculations, real-time test management, automated reporting, and developer APIs with Python SDK and Jupyter notebook support, designed for battery engineers, R&D labs, manufacturing teams, supplier QA, and analytics consultants to improve yield, reduce warranty risk, shorten development timelines, and gain competitive advantage.
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