About GaiaLens
esg, esg investing, esg analytics, esg reporting, sustainability, sustainable finance, ai, data science, software development, regtech, data management, data collection, eu taxonomy, un sdgs, sfdr, tcfd, edci, asset managers, pension funds, private equity
GaiaLens's Tech Stack
Cloud
Analytics
Frontend
Decision Makers at GaiaLens
1 contactNavneet Chauhan
Chief Technology Officer
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AWS infrastructure signals engineering sophistication. This company likely evaluates cloud cost management, security tooling, observability, and developer productivity solutions.
GaiaLens's Position in the StackWho Database
- • GaiaLens is 1 of 21,667 financial services companies tracked in StackWho.
- • 21,586 financial services companies in our database have verified decision-maker emails (100% of the cohort).
- • 7,667 financial services companies are in the 11-50 employee range (same size as GaiaLens).
Technology detection from public web signals. Decision-maker contacts compiled from LinkedIn public profiles, company filings, and verified outbound testing. Methodology & sources · Updated August 2026.
Frequently Asked Questions
What technology does GaiaLens use?
GaiaLens uses MailJet, Gmail, Google Apps, Amazon AWS, Google Tag Manager, Mobile Friendly, and 1 more technologies. This data is sourced from StackWho's technology detection engine.
How do I contact the decision makers at GaiaLens?
StackWho has verified email addresses for 1 decision maker at GaiaLens. Pro members can access direct emails for the CEO, CTO, VP of Engineering, and other key contacts. Use StackWho to reach GaiaLens directly for sales, recruiting, or partnerships.
What industry is GaiaLens in?
GaiaLens operates in the financial services industry, headquartered in London, United Kingdom. StackWho tracks technology stacks and decision maker contacts for companies across all industries.
Can I export GaiaLens's contact data?
Yes. StackWho Pro members can export decision maker contact data for GaiaLens and similar companies to CSV. Use the export feature to build targeted prospect lists segmented by technology stack, industry, or location.
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