Greenlight
See how sustainable a company really is, in minutes.
AI ESG and sustainability research platform.
- Client
- Greenlight (Reveal)
- Industry
- ESG / Sustainability
- Region
- Global
- Engagement
- B2B SaaS · ESG assessment · AI research platform
Overview
Greenlight (Reveal) is an AI platform that shows how sustainable a company really is. It scans laws, certifications, studies, reports, controversies, and company claims, then gives expert-verified ESG insights. Built with GPT-4, Perplexity Sonar-Pro, and custom scoring algorithms, it delivers assessments in minutes instead of weeks — and favors independent sources to cut through greenwashing.
The problem we set out to solve.
ESG data is spread across news, regulations, NGO reports, and academic studies.
Self-reported claims invite bias and greenwashing, so independent sources matter more.
Traditional assessments take weeks, which is too slow for investors and buyers.
Expert-level accuracy is hard to hold at AI scale across dozens of topics.
What success needed to look like
- Turn weeks of ESG research into an assessment that takes minutes.
- Base every score on independent, credible sources instead of a company's own claims.
- Cover environmental, social, and governance topics with expert-level accuracy.
- Keep every finding transparent with sources a user can check for themselves.
How we delivered it.
- 01
Diagnose
Studied how ESG research was normally done — slow, manual, and prone to leaning on company self-reporting — and identified where greenwashing slipped through.
- 02
Design
Designed a three-stage assessment: company intelligence gathering, parallel topic deep-dives, and holistic scoring weighted toward independent sources.
- 03
Build
Built the research pipeline on GPT-4 and Perplexity Sonar-Pro, with retrieval-grounding to keep findings tied to real, citable sources.
- 04
Launch
Launched automated company scanning covering 50+ ESG topics, each backed by 10-15 sources and live citations.
- 05
Run
Kept the source-scoring system and expert-council-guided evaluation current as more companies were scanned.
What we built.
We built a three-stage assessment engine. First, it gathers company intelligence. Second, it runs parallel deep-dives across topics using GPT-4 and Perplexity Sonar-Pro. Third, it produces an overall company score. A multi-dimensional scoring system rates each source on impact, sentiment, freshness, and credibility, weighting AI judgment at 66% and data averages at 33%. An expert council guides the evaluation, and every finding links to live source citations. The platform is built to cover 50+ ESG topics per company with 10-to-15 independent sources each, and it runs carbon-positive by offsetting energy use at 300%.
Tech stack
Integrations
“Hashlogics' fast turnarounds stand out.”
Sil van der Woerd · Studio Birthplace
The takeaway
Trustworthy ESG scoring means grounding every claim in an independent source, not the subject's own reporting. We built the pipeline that does that at AI speed.
