Company profile
Prospect Energy
Live 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.
1-10
IPO ($1.7M)
Public pricing page
AI Classification
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
- Public pricing — predictable revenue
- IPO — mature / stable
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Competitors
Prospect Energy is one of 2,673 B2B companies in the Kustiq directory.
Prospect Energy sits among 16 energy tech companies in our Energy directory.
Similar profiles: Feast, AdPlexity, No code browser automation & web scraping, and Creators.
Both sit in the 1-10 headcount band, and both are at IPO. See Prospect Energy vs Feast side by side.
Both sit in the 1-10 headcount band, and AdPlexity is at Growth ($550K) versus IPO for Prospect Energy. See Prospect Energy vs AdPlexity side by side.
Both sit in the 1-10 headcount band, and No code browser automation & web scraping is at Series A ($200.0M) versus IPO for Prospect Energy. See Prospect Energy vs No code browser automation & web scraping side by side.
How Prospect Energy compares with other Energy Tech companies
Prospect Energy is one of 16 Energy Tech companies profiled in the Kustiq Energy directory, which holds 36 Energy companies in total. Every number below is computed from those profiles.
Prospect Energy sits in the 1-10 headcount band. 0% of the 13 segment peers with a known team size are smaller. 15% of those peers share the same band.
The most common tech detections across the 5 peers with a visible stack are Apache (60%), WordPress (40%), and jQuery (40%). Prospect Energy lists none of them.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of prospect.energy and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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