Battery intelligence for used-battery decisions.
Dynovy builds short-window diagnostic technology that applies physics-informed models and low-data AI to assess used batteries quickly and accurately.
Incomplete battery history and slow testing cycles are no longer acceptable barriers to confident reuse and recycling decisions.
Used batteries are becoming a high-volume decision problem.
As EV and industrial battery fleets reach end-of-first-life, operators face a growing volume of units that need fast, reliable assessment. Existing approaches weren't designed for this scale or these conditions.
Manual screening
Visual inspection and basic voltage checks provide superficial signals. They miss hidden degradation, can't estimate remaining capacity, and leave operators guessing on high-stakes routing calls.
Full diagnostic testing
Comprehensive cycle testing delivers accurate data but takes hours to days per battery. At scale, this bottleneck makes full testing economically unviable for most second-life and recycling operations.
BMS and historical data
Battery management system records are often missing, incomplete, or incompatible across OEMs and chemistries. Relying on history that doesn't exist is not a scalable assessment strategy.
Operators need faster, decision-grade battery assessment.
Short diagnostic window. Deeper battery insight. Practical routing decision.
Dynovy compresses the assessment timeline without compromising the quality of the decision. Our platform is built for real operational conditions, including variable battery states, limited history, high throughput pressure.
Capture
A short controlled diagnostic test is applied to the battery, eliminating the need for a full discharge. We extract a rich set of electrochemical signals within a compact time window.
Interpret
Physics-informed models and low-data AI interpret those signals against degradation mechanisms. We reveal what's actually happening inside the cell, not just its voltage.
Decide
The output is a decision-grade assessment: route to reuse, repurpose, recycle, or isolate. The results are clear, actionable, and traceable, enabling operators to move quickly without sacrificing accuracy.
We are building decision infrastructure for the battery lifecycle — not another dashboard to ignore.
The next battery bottleneck isn't production. It's the decision after first life.
Reduce time-to-decision across high-volume battery intake operations
Safer handling through early identification of degraded or unsafe cells
Reuse confidence backed by physics-grounded capacity and health estimates
Recycling prioritisation based on real chemistry state, not guesswork
A stronger data layer that improves with every assessment, compounding value over time
Starting with used-battery assessment and routing.
Short-window electrochemical diagnostics for lithium-ion cells at end-of-first-life
Routing classification with confidence scores: reuse, repurpose, or recycle
Designed for variable battery states and incomplete data environments
Integration into existing intake and sorting workflows without major infrastructure change
Validation with real batteries from EV decommissioning and industrial applications
Battery assessment is the entry point. Dynovy is building a broader lifecycle intelligence platform that enables smarter decisions at every stage of a battery's journey, from first use to responsible end-of-life processing.
The data gathered at each assessment compounds. The dataset strengthens as more batteries are assessed.
We are looking for industrial and commercial partners.
We are collaborating with a select group of industry operators to validate our diagnostic approach using real batteries under real-world conditions. If you work with used batteries at any stage of the lifecycle and are looking to make faster, more informed decisions, we'd love to hear from you.
Reach out to discuss whether there's a fit for a short validation engagement.
Request demo