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
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
- OpenAI GPT-4
- Perplexity Sonar-Pro
- Eden Reforestation Projects (carbon offset)
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.
