Transforming the battery ecosystem
Battery Management Intelligence and State-of-Health Analytics
Cloud-based BMS analytics ingesting cell-level voltage, current, temperature and impedance signals.
Cloud-based BMS analytics ingesting cell-level voltage, current, temperature and impedance signals. Machine-learning models forecast State-of-Health and Remaining Useful Life, detect early-warning signatures of thermal runaway and inform warranty, second-life and recycling decisions.
Gigafactory Digital Thread and AI Quality
End-to-end traceability from cathode powder to finished pack with computer vision defect detection.
End-to-end traceability from cathode powder to finished pack. Computer vision detects electrode coating defects, dendrite formation and weld quality issues in real time. Closed-loop process control typically reduces scrap by 15–25% and accelerates yield ramp on new lines.
EV Charging Network Orchestration
AI-driven load balancing, dynamic pricing, predictive uptime and grid-services participation for charging networks.
AI-driven load balancing, dynamic pricing, predictive uptime, fraud detection and grid-services participation for public and depot charging networks. Improves charger utilisation, reduces customer wait times and unlocks new revenue streams through demand-response participation.
Customer Challenges and the Need to Act
Why batteries are the new sovereign capability
Electric vehicle adoption is accelerating but cell-maker and OEM profitability remains fragile. The battery is the single largest cost and safety risk in the vehicle. Charging-network utilisation is uneven. Second-life and recycling regulations are tightening rapidly — particularly under the EU Battery Regulation 2023/1542 and emerging Digital Product Passport mandates. Without industrial-grade data and AI, no battery business will survive the next pricing cycle.
How AI creates the advantage
AI is the only practical way to extract insight from the billions of telemetry points generated per pack per day, predict failure modes before they manifest, optimise charging behaviour for cost and battery health and meet the evidentiary burden of emerging Digital Product Passport regulations.
Implementation Roadmap
EV & Battery AI Transformation
Define Data Taxonomy
Define data taxonomy and edge-to-cloud architecture
Instrument Telemetry
Instrument cell, pack and charger telemetry end to end
Build Baseline Models
Build State-of-Health and Remaining Useful Life baseline models with field data
Deploy AI Quality Inspection
Deploy AI-driven quality inspection on coating and assembly lines
Integrate Regulatory Reporting
Integrate with regulatory reporting — passport, recycling, ESG
Continuously Retrain
Continuously retrain models with field returns and warranty data
Why batteries matter
The global EV battery market is projected to exceed USD 400 billion by 2030. National battery missions in India (PLI), the United States (Inflation Reduction Act), the European Union (Battery Regulation) and China are reshaping industrial policy. Battery digitalisation is now a sovereign industrial capability, not a discretionary investment.
Relevant geographies
Let’s power the energy transition together
From cell chemistry to charging infrastructure, our team is ready to engineer the data and AI backbone for your battery business.
50+ Years of Industrial Assurance
alticdigital is the technology subsidiary of ISSPL — a classification and certification group with five decades of industrial-inspection heritage. Every solution we deliver inherits this culture of rigour, traceability and audit-grade quality.