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Remote sites, distributed assets, and no live picture of either.

Mini-grid operations, EV fleets and solar manufacturing share one problem: the assets are far away, field data arrives late over paper and WhatsApp, and the economics turn on numbers nobody is measuring in real time.

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Electric vehicle marketplace platform with AI agents and battery health intelligence

Where the sector actually loses money

Distributed assets, delayed data, decisions made blind

An EV marketplace coordinates a complex web: drivers who lease vehicles, dealers who supply them, financiers who fund them, and internal teams managing assets and service. Before digitization those flows run on spreadsheets, phone calls and disconnected records, with no single view and no way to scale.

Renewable manufacturing has a different version of the same gap. Manual inspection of solar panels is slow, inconsistent and expensive, and every defect that slips through becomes degraded energy output and a warranty claim years later.

In both cases the most expensive asset carries the least visibility. Battery condition decides EV fleet economics. Panel quality decides solar yield over decades. Neither is measured continuously by default.

In one line

Algorizz runs one of its largest digital transformation engagements in electric mobility, digitizing an entire EV marketplace end to end, and applies computer vision to renewable energy manufacturing for automated quality inspection.

Built for sites where the network is not a given

The engineering behind distributed asset intelligence

Predictive battery intelligence

Continuous assessment of each vehicle's battery condition, so drivers, users and operations teams are proactively notified and can track health in real time.

Battery healthFleet economicsProactive alerts

Multi-stakeholder platforms

Drivers, dealers, financiers and internal teams each need a different view of the same asset. One spine, four surfaces.

Driver appDealer portalFinancing workflow

AI agents in operations

Agents that carry routine customer contact and follow-up work, so operations teams handle exceptions rather than repetition.

Customer contactFollow-upsOps automation

Computer vision quality inspection

Automated visual inspection that classifies defect types at production accuracy from day one, without months of on-site model tuning.

Defect classificationSolar panelsDay 1 accuracy

Shipped and running, not pilots

What we have built in energy and mobility

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EV marketplace digital transformation with AI agents and predictive battery health analytics

Client build

EV marketplace: full-stack transformation and AI agents

Algorizz delivered a full-stack digital transformation for an EV marketplace, digitizing operations across drivers, dealers, financiers and internal teams, then layered AI agents and predictive battery intelligence onto the platform.

End to endOperations digitized across the ecosystem

Multi-roleEvery stakeholder on one platform

Real timeBattery health tracking

AI agentsPredictive battery healthFinancing workflowsMulti-role platform

10 minute read · Algorizz engineering leadership

Computer vision solar panel defect detection system for renewable energy manufacturing

Client build

Solar panel defect identification system

Algorizz built a computer vision defect identification system for solar panel manufacturing that detects and classifies more than 10 defect types at over 95% accuracy on Day 1.

95%+Accuracy from first day of deployment

10+Distinct defect types classified

ZeroMonths of on-site model tuning

Computer visionDefect classificationSolar manufacturingQuality inspection

9 minute read · Algorizz engineering leadership

Energy, EV & Renewables

Frequently asked questions

Yes. Algorizz built predictive battery health intelligence for an EV marketplace. The system continuously assesses each vehicle's battery condition, and drivers, users and operations teams are proactively notified and can track current health in real time.

Same engine, different floor