DEXOLYTA is a plug-and-play AI vision module purpose-built for EV battery disassembly — identifying battery models, hazardous components, and fastening mechanisms to drive robotic cells and human-guided workstations with step-by-step teardown intelligence, while logging compliance-ready material and condition data.
Co-pilot today → autonomous brain tomorrow. We start as the guided vision layer on your line; the same stack scales to fully autonomous disassembly on commodity robot arms.
Every pack must be torn down by hand first — under live high voltage — before any recycler can recover materials. That step does not scale.
Manual teardown: 4–8 hrs/pack, $150–300 skilled labor. Disassembly is up to ~20% of recycling cost in high-wage EU markets — and the binding constraint regardless of %.
Harper et al., Cell Reports Sustainability (2022)400–800V live contacts, thermal runaway, toxic exposure. Qualified high-voltage technicians are scarce — manual scaling is not an option at incoming volumes.
Hundreds of non-standard pack designs; glued covers; corroded fasteners. Fixed robotic programs break on the first unknown pack — you need adaptive AI vision.
EU, China, and US rules are tightening together. Manual disassembly cannot scale to the volumes coming — automation is no longer optional.
Digital battery passport mandatory for EV batteries. Removability rules tighten under EU Battery Regulation.
70% recycling efficiency for lithium-based batteries — up from 65% in 2025 (EU Annex XII).
80% Li and 95% Co, Ni, Cu material recovery targets take effect.
China mandatory EV battery recycling framework takes effect — throughput pressure on global supply chains.
Domestically recycled critical minerals count toward EV tax credits — incentivising faster, traceable recovery.
Age-based end-of-life packs in Europe by 2030 (Statista / IEA). Scenario range 0.4–1.1M; global ~1.2M. Every pack must be disassembled first.
As millions of electric-vehicle batteries reach end of life, we envision a circular battery economy where every pack can be safely and profitably disassembled — by robots and people alike. DEXOLYTA makes expert-level battery teardown a universal, on-demand capability.
We give every EV battery recycler an AI vision co-pilot that recognises models, hazards and fasteners — guiding robotic cells and human workstations through faster, safer teardown while automatically logging compliance-ready material and condition data.
We deploy on-prem via your SI partner — perception and planning on commodity robot arms you already have. Co-pilot today; the same stack learns toward autonomy.
RGB-D vision identifies pack type, hazards, and fasteners — then confidence-gated motion planning drives the arm.
Below 99.5% confidence, the cell halts and routes to teleop. Every session trains the on-prem stack.
UR, KUKA, ABB, or Fanuc arms plus your teardown table. We own software; your SI partner owns the physical cell.
Guided teardown steps plus a per-pack material record — battery-passport ready before downstream recovery.
Investment brief — regulatory forcing function, market sizing, and competitive positioning.
EV & battery recycler, OEM, investor or partner — tell us about your packs and we'll show you DEXOLYTA in action.
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We reply within two business days and can set up a discovery call to scope a pilot on your battery line.
A 90-day, no-capex retrofit on one disassembly cell or workstation: we baseline your current teardown, deploy the AI vision module, and prove the gains in speed, safety and compliance-ready records.