Problem

Electrical contractors spend substantial time sifting through drawings and other project documents, manually counting devices, and completing repetitive pre-construction work before they can submit a bid. The core economic pain is the skilled estimating labor and elapsed time consumed by manual “bean counting,” which slows a contractor’s ability to prepare a competitive quote. The clearest killer use case is turning electrical plan drawings into a device takeoff quickly rather than spending hours doing it by hand.

Product / Service

Bidflow is an AI copilot and SaaS product for electrical contractors. It reads project drawings and counts devices automatically, reducing a task the company says can take hours to under ten minutes. Its AI is deliberately focused on power devices, lighting fixtures, and lighting controls, including receptacles, outlets, junction boxes, motors, lighting-schedule items, occupancy sensors, dimmers, photocells, and switches; the narrow scope is intended to preserve accuracy.

Market

Bidflow competes in construction technology, specifically AI-enabled electrical takeoff, estimating, and pre-construction software. Established or adjacent alternatives include Trimble Accubid, McCormick Systems, Countfire, and STACK Takeoff & Estimate. Bidflow’s positioning is differentiated by an AI-native copilot focused narrowly on electrical takeoffs rather than a broader estimating or construction-management suite.

The company appears to be at an early commercial stage. It is backed by Y Combinator and listed as an active SaaS company in the Winter 2026 batch; its LinkedIn profile reports a 2–10-person organization and 134 followers. The available evidence does not disclose revenue, customer counts, or other operating metrics, so there is not enough public information to characterize it as scaled or to confirm that it is generating material revenue.