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BBOLT

BBOLT is a European Energy Intelligence platform that aggregates real‑time data from batteries, solar, inverters, meters and chargers via open integrations and uses AI‑driven forecasting and rule‑based automation to optimize storage, consumption and market trading. Its cloud‑based Energy Management System provides automated peak‑shaving, load‑balancing, and self‑consumption strategies, while dashboards translate energy flows into cost and savings metrics for commercial, industrial and residential users.

Amsterdam, NetherlandsFounded 202213700+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Energy producers and consumers with battery, solar, inverter, and load assets often lack real-time visibility and automated control, leading to suboptimal storage use, peak‑demand penalties, and missed revenue from market participation.

Solution

BBOLT offers a European Energy Intelligence platform that aggregates real‑time data from batteries, inverters, solar panels, meters and chargers via open integrations. Its cloud‑based Energy Management System (EMS) applies AI‑driven forecasting and rule‑based automation to decide when to store, consume, or trade energy, optimizing costs and revenue. The platform provides granular monitoring of each asset, automatic peak‑shaving, dynamic load‑balancing, and self‑consumption strategies, all visualized in dashboards that translate energy flows into monetary savings. Compliance with ISO‑27001 and NIS2 ensures data confidentiality, integrity and availability. The solution scales from residential BBox Home units to commercial BBox Pro installations, supporting over 70 % of major hardware brands without lock‑in.

Target Audience

Primary customers are commercial and industrial energy managers, renewable asset owners, and installers who need centralized control of distributed energy resources, as well as residential and SME users seeking cost‑effective energy optimization.

Features

  • Real‑time data ingestion from batteries, inverters, solar, chargers and meters with millisecond latency
  • AI‑based forecasting of energy demand, market prices and weather to drive proactive dispatch decisions
  • Automated peak‑shaving and load‑balancing scenarios to avoid demand‑charge penalties
  • Self‑consumption optimization that charges batteries when prices are low and discharges when consumption exceeds generation
  • Comprehensive dashboards that convert kWh flows into cost and savings metrics, with customizable reporting periods
  • Open integration layer supporting over 70 % of leading hardware brands, avoiding vendor lock‑in
  • ISO‑27001 and NIS2‑aligned security framework for secure data handling and continuity
This profile is AI-generated and may contain inaccuracies.