platoseed
AI Analyst for Electricity Markets
Dartboard is an AI Analyst for Electricity Markets, starting with the owners of grid-scale battery projects.
Dartboard Energy turns raw telemetry from electricity systems into clear, classified events and audit-ready logs, reducing manual log reconstruction and alarm digging. It processes alarms and state data to produce structured incident-level events with root cause and contract-aware classifications.
The product reads read-only telemetry from data lakes, EMS, or historians, processes raw alarms and state data into clean, structured events, groups signals into single incidents, classifies events against operational and contract context, and generates audit-ready records automatically. It integrates without site-side installation, writing back only to required destinations and feeding into existing workflow tools and data lakes. No dashboards are required to monitor or reconstruct logs; each issue becomes a single, structured event with a clear root cause and outage classification.
Who itβs for: Electricity grid operators, energy utilities, distributed energy resource operators, and industrial energy systems relying on telemetry/SCADA data
Backed by Y Combinator
CEO at Dartboard Energy. 10th employee and data scientist at Second Measure (YC S15), stayed through its acquisition by Bloomberg. Built the data pipelines for a first-to-market credit card transaction dataset, now powering the Bloomberg Terminal. Later, spent 9 months at AutoGrid in a contract role to see the challenges in clean energy firsthand.
Uncover missed revenue for grid-connected battery owners while staying compliant
Dartboard builds an AI Analyst for electricity markets focused on grid-connected battery owners. It ingests historical market data to identify potential revenue opportunities and provides regulatory guidance to translate rule changes into actionable insights, aiming to maximize revenue while maintaining compliance.

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