Sention Technologies utilizes proprietary ultrasound imaging, X-ray computed tomography, and machine learning to assess the chemical, structural, and physical properties of battery cells throughout their lifecycle. This technology enables manufacturers and developers to optimize performance, reduce costs, and enhance safety by providing critical insights into cell degradation and failure.
Funding
$3.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current methods for assessing battery cell properties often lack the granularity to detect subtle defects or variations within individual cells, leading to uncertainty for battery integrators and potential safety risks. Traditional quality control relies on aggregate tests that fail to provide spatially resolved data on cell integrity and performance. This can result in costly product recalls and waste.
Solution
Sention Technologies provides advanced diagnostic techniques, including proprietary ultrasound imaging, X-ray computed tomography, thermal analysis, and electrochemical characterization, combined with machine learning, to evaluate battery cell properties throughout their lifecycle. This approach enables users to measure critical chemical, structural, and physical properties that determine performance, quality, and safety. By integrating these methods, Sention delivers insights into how cells degrade and fail, allowing for the optimization of performance, reduction of costs, and enhancement of safety. The company's solutions can be deployed in R&D laboratories or at different stages in the manufacturing process to realize a no-fault forward (NFF) total quality strategy.
Target Audience
Sention's primary customers include battery manufacturers, developers, regulators, service centers, and circular economy solution providers in the automotive, consumer electronics, and stationary storage industries.
Features
- Proprietary acoustic imaging and electrochemical characterization techniques for unique insights into cell properties.
- Integration of X-ray computed tomography and thermal imaging to measure critical physical, structural, and chemical properties.
- Machine-learning algorithms and software packages, combined with a cloud-based analytics platform, for data analysis.
- Solutions for testing and development to shorten the design-build-test cycle.
- Measurement tools for regulatory testing and to diagnose and repair systems in service centers and in the field.
- Ability to teach next-generation battery management systems (BMS) to have predictive safety capabilities.
- Cell evaluation following first-life operation to determine the next stage of life and safety implications of cell processing or re-use.