Digital DNA™ fuses 12+ years of Material Genomics with real-time manufacturing and field data to build chemistry-aware AI models that predict battery safety, maximize lifetime, and drive down total cost of ownership — continuously, from mine to mission.
A single unbroken data lineage connecting every stage of a battery's life — from geological origin to real-world performance. Nothing is lost. Everything is traceable.
Geochemical fingerprinting begins at the geological source. Full provenance tracking for lithium, cobalt, nickel and manganese across global mining operations — establishing the first link in the Genomic Thread™ before a single electrode is made.
Chemical, structural, and electrochemical fingerprints captured at precursor and active material stages. Every batch is genomically tagged and linked to its mining origin — creating a continuous, queryable record of material identity across suppliers and geographies.
Coating weight, calendering pressure, porosity, and formation data are fused with upstream material genomics. Process deviations are caught in real time — before they propagate downstream into cells and packs where correction costs multiply by orders of magnitude.
Formation cycling, capacity grading, and pack-level integration data are woven into each cell's genomic record. The material heritage of every electrode pair informs system-level performance predictions — connecting atomic-scale decisions to pack-level outcomes.
Real-time field telemetry — temperature profiles, state-of-charge trajectories, cycle history — is continuously mapped back to each battery's material genomics. The result is a closed-loop learning system: field data improves models, and models improve BMS tuning in real time.
Genomic intelligence enables precise state-of-health assessment for second-life BESS applications, and optimised routing through recycling pathways. Every material recovered carries its full genomic history — maximising value extraction and completing the circular economy loop.
From atomic-level material characterization to system-level predictive intelligence — a vertically integrated AI platform built exclusively for electrochemical systems.
Over 12 years of proprietary experimental data distilled into deep chemical, structural, and electrochemical fingerprints. Every critical battery material — cathode, anode, electrolyte, separator — is characterized at the molecular level, creating an unmatched reference library that underpins every predictive model in the platform.
A continuous, searchable data spine connecting mine, material, electrode, cell, pack and field behaviour into a single coherent record. Unlike siloed MES or BMS data, the Genomic Thread™ preserves full provenance — enabling root-cause analysis and predictive alerts that span the entire value chain.
Physics-informed machine learning trained on genomic fingerprints rather than anonymous fleet averages. The result: chemistry-specific degradation trajectories, fire-precursor detection weeks before failure, and duty-cycle optimization that can extend usable battery life by up to 3×.
Each pack has a continuously updated digital twin reflecting its genomic profile, operating history and real-time state — enabling proactive maintenance and warranty optimisation.
Connecting material quality to field outcomes lets OEMs price risk accurately, defend warranty decisions with data, and identify cost reduction opportunities across the supply chain.
REST and GraphQL APIs connect to MES, ERP, BMS, and fleet systems. Embedded analytics modules can be white-labeled directly into OEM dashboards for seamless deployment.
Four mission-critical market segments. One unified genomic intelligence platform.
Gigafactory operators face relentless pressure to hit yield targets while managing material variability across a complex global supply chain. Digital DNA™ delivers real-time genomic quality control — flagging incoming material deviations before they enter production, connecting electrode process parameters to cell formation outcomes, and creating the data foundation for autonomous manufacturing.
The result: fewer scrap cycles, fewer field recalls, and a factory that learns from itself shift by shift.
Chemistry-aware battery management means longer range, safer operation and accurate second-life valuations. Digital DNA™ integrates directly with BMS and fleet telematics for continuous genomic insight.
Vehicle IntelligenceGrid-scale storage demands precise SOH tracking and degradation forecasting. Genomic models optimize dispatch schedules and predict capacity fade years in advance.
Grid IntelligenceMaterial suppliers gain a quantified link between product quality and end-cell performance — a powerful, data-backed differentiator in a commoditizing market.
Supply Chain IntelligenceDigital DNA™ is not a dashboard bolted onto commodity data. It is a purpose-built scientific computing platform grounded in materials physics, electrochemical engineering, and modern AI.
More than a decade of relentless materials science research, data engineering and AI development — converging into the world's most comprehensive battery intelligence platform.
Deep electrochemical and materials characterization programs initiated at C4V. Proprietary experimental datasets assembled across cathode chemistries, electrolyte systems, and failure modes — establishing the genomic foundation.
Complete supply-chain mapped from mine to end application. Core Genomic Thread™ architecture designed. First industry partnerships established. Multi-million data points connected and structured into the proprietary database.
Physics-informed ML models trained on genomic datasets. Degradation prediction and fire-precursor detection algorithms validated against real-world field data. Digital Twin infrastructure deployed for first pilot customers.
Platform expanded to cover EV OEM, BESS operator and gigafactory use cases. API-first architecture enables seamless integration with enterprise MES and BMS systems. Federated learning deployed across fleet customers.
Digital DNA™ expands into a global, continuously learning genomic intelligence network — connecting gigafactories, OEMs, fleets and recyclers into a single, privacy-preserving data fabric that improves every battery ever made.
Join leading gigafactories, OEMs and energy operators replacing guesswork with genomic certainty. Request a tailored demonstration of the Digital DNA™ platform.