Built across battery systems, software, and lifecycle value creation
Dynovy brings together expertise in battery engineering, diagnostic testing, software infrastructure, AI modelling, and technologies that increase value across the battery lifecycle. We combine hands-on technical depth with a practical understanding of how batteries can be assessed, reused, repurposed, and managed more effectively in industrial settings.
Capability areas.
Our team covers the technical and commercial ground needed to build, validate, and deploy a physics-informed battery diagnostics platform.
Battery systems and diagnostics
Battery safety, hardware validation, degradation behaviour, and experimental testing. Deep familiarity with how lithium-ion cells behave under real-world stress and end-of-life conditions.
Software and AI infrastructure
Software platforms, data infrastructure, model deployment, and scalable cloud systems. Experience building production-grade AI pipelines that operate reliably under data-constrained conditions.
Commercialisation and partnerships
Deep-tech translation, industrial partnerships, grant pathways, and early-stage venture building. Understanding how to move technology from validation into commercial deployment within complex industry structures.
Advisor support: AI and low-data modelling | physics-informed battery models | commercialisation
Moving from controlled validation to operator validation.
We are progressing from controlled cell and module-level testing toward real-pack, real-workflow validation with operators. This next stage connects the diagnostic prototype to the conditions, volumes, and decision pressures that actually define whether the technology works in practice.
Controlled diagnostic prototype developed
Early cell and module-level validation underway
Patent filings around the diagnostic approach
Building operator validation pathways
Seeking used packs, modules, benchmark data, and industry partners
Contact Dynovy.
For validation partnerships, industry introductions, or early investor conversations:
- Operators with used EV or industrial battery packs and modules
- Organisations with benchmark data from diagnostic testing
- Industry partners interested in co-developing assessment workflows
- Investors aligned with deep-tech hardware-AI at the battery lifecycle