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iFactory AI (ifactoryapp.com) — iFactory EV Charging Station Analytics — Brand-agnostic charge-point health and electrical-condition telemetry collected as an overlay on top of third-party OCPP 1.6 / 2.0.1 chargers (ChargePoint, Tesla, ABB and others), fusing four ingestion streams the company lists: OCPP gateway data, thermal connector-probe readings, AI load-shed controller signals, and 5G mesh backhaul status. Distinctive content is electrical-physical rather than commercial: connector impedance and pin thermal-decay series (resolution described to 0.2 ohm), software-handshake response lat…
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Brand-agnostic charge-point health and electrical-condition telemetry collected as an overlay on top of third-party OCPP 1.6 / 2.0.1 chargers (ChargePoint, Tesla, ABB and others), fusing four ingestion streams the company lists: OCPP gateway data, thermal connector-probe readings, AI load-shed controller signals, and 5G mesh backhaul status. Distinctive content is electrical-physical rather than commercial: connector impedance and pin thermal-decay series (resolution described to 0.2 ohm), software-handshake response latency (to ~500ms) and the resulting 'Phantom Offline' states, per-port power-ceiling modulation events issued to prevent transformer overload or building brownouts during concurrent 5pm demand spikes, firmware handshake bottlenecks, plus the commercial layer beneath it — session-to-NOI attribution, underperforming-charger identification, 'camping' (idle-occupying) vehicle detection for parking turnover, and kWh-dispensed series mapped to carbon-offset and automated LEED v4.1 portfolio reporting
Scale High frequency per charge pointCoverage Information Technology · IndustrialsAsset class Equities
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iFactory AI (ifactoryapp.com) — iFactory EV Charging Station Analytics — Brand-agnostic charge-point health and electrical-condition telemetry collected as an overlay on top of third-party OCPP 1.6 / 2.0.1 chargers (ChargePoint, Tesla, ABB and others), fusing four ingestion streams the company lists: OCPP gateway data, thermal connector-probe readings, AI load-shed controller signals, and 5G mesh backhaul status. Distinctive content is electrical-physical rather than commercial: connector impedance and pin thermal-decay series (resolution described to 0.2 ohm), software-handshake response lat…
Ifactoryapp offers (Alternative, Supply Chain, Geospatial) — High frequency per charge point, small installed base: thermal/impedance probes and control loops imply sub-second to 1-minute sampling, so ~10^6-10^7 readings per monitored port per year and ~10^8-10^9 across a 100-port portfolio — but the number of EV ports iFactory actually monitors is not published, so total volume is unknown and should be the first diligence question. Also note data is stored on-prem at customer sites, so it may not exist in one place at all.
Connector and pin failure prediction from thermal/impedance degradation curves — the scarcest signal in this whole category, since commercial CPMS platforms record session outcomes but never the physical degradation that precedes them; 'Phantom Offline' and handshake-timeout classifiers for network-reliability engineering; building-level electrical capacity optimisation (the vendor claims roughly 3x more chargers on existing service without utility upgrades, which is exactly the constraint DSOs and property owners model); transformer-strain and brownout-risk scoring for commercial parking structures; peak-demand reduction policy learning (-35% claimed) for tariff and demand-charge management; parking-turnover and dwell enforcement from camping-vehicle detection; and LEED v4.1 / carbon reporting pipelines for REITs and property portfolios
Coverage spans US; Application Software, Electrical Components & Equipment; alternative, supply_chain, geospatial; equities.
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