Prospect Energy Company Profile

Prospect is an open source data platform that aggregates, visualizes and validates energy data to boost energy access and the transition into renewable energy.

Industry: Energy

Segment: Energy Tech

Team size: 1-10

Funding: IPO

Competitors: Witt, Mark N

Generated by Kustiq, an AI company intelligence platform for B2B teams. Multi-stage pipeline: AI classification + live web scraping + SMTP-verified contacts + 12-factor rule-based churn engine.

Company profile

Prospect Energy

Prospect is an open source data platform that aggregates, visualizes and validates energy data to boost energy access and the transition into renewable energy.
Prospect Energy logo

AI-verified profile

Prospect is an open source data platform that aggregates, visualizes and validates energy data to boost energy access and the transition into renewable energy.

Employees

1-10

Funding

IPO ($1.7M)

Pricing

Public pricing page

AI Classification

EnergyEnergy Tech

Prospect is an open-source, license-free energy data platform developed by the Access to Energy Institute (A2EI) and GET.invest, designed to aggregate, validate, and visualize energy data from on-grid, mini-grid, and off-grid sources. It serves energy access organizations, rural electrification authorities, and development finance institutions primarily in emerging and frontier markets.

Deep Intelligence

Account Scoring

Green Churn Risk

Social Links

Competitors

Witt, Mark N

Prospect Energy is profiled by Kustiq, an AI company intelligence platform for B2B teams. Prospect Energy is one of 17 energy tech companies in our Energy directory. Similar profiles include Feast, No code browser automation & web scraping, AdPlexity, and Creators.

How Kustiq built this profile

Hybrid pipeline: deterministic verification + Claude reasoning

  • Live web rendering via Browserless headless Chrome, not a stale cached scrape.
  • Search intelligence via Serper API across {company site, LinkedIn, press, GitHub}.
  • Claude Sonnet 4.6 classifies vertical, segment, and growth signals; never used for facts.
  • 12-factor churn engine produces a deterministic risk score with zero LLM calls at scoring time.
  • SMTP RCPT TO handshake verifies every contact at delivery time on full profiles (paid plan).

Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.

Part of 3,020 AI-profiled B2B companies. Browse the full directory