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Pickel

Pickel provides eMobility operators with a unified intelligence platform that aggregates fragmented EV charging data down to the connector level, combined with market trends to benchmark performance. Its autonomous operations suite lets operators dynamically adjust individual charging sites to local demand, improving efficiency and profitability. By turning raw session data into actionable insights, Pickel helps networks reduce underperformance and achieve leaner, more responsive charging operations.

Gothenburg, Sweden5300+ followers
Updated 29 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

EV charging operators struggle with fragmented, low‑granularity data that prevents accurate performance benchmarking, site‑level diagnostics, and responsive operational adjustments, leading to widespread underperformance and thin profit margins.

Solution

Pickel offers an intelligence platform that aggregates EV charging data at the connector level across multiple markets and enriches it with external market insights. The unified dataset enables operators to benchmark each charging site, identify underperforming locations, and understand demand drivers. Built-in AI and automation tools allow the platform to autonomously adjust charging site parameters in response to real‑time market conditions, turning raw data into actionable operational decisions. By continuously optimizing site performance, the solution helps networks operate more efficiently, reduce costs, and improve profitability. The platform is delivered as a cloud service that integrates with existing charging infrastructure and provides dashboards for monitoring and control.

Target Audience

Primary customers are EV charge point operators, fuel retailers, utilities, and investors managing large charging networks in Europe.

Features

  • Connector‑level data ingestion from heterogeneous EV charging networks across multiple European markets
  • Integration of external market data (e.g., traffic, demand trends) to contextualize charging volumes
  • AI‑driven analytics that benchmark site performance and diagnose underperforming chargers
  • Autonomous operation engine that automatically tunes charging parameters to match local demand
  • Real‑time dashboards and reporting tools for operators to monitor performance and profitability
  • Scalable cloud architecture supporting thousands of sites, connectors, and millions of charging sessions
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