Real-life impact

See how evidence-led, transparent AI from Glass.AI delivers trusted intelligence that transforms decision-making across use-cases and industries.

• Public Sector Organisations

Economics Consultancy Maps Hidden Quantum Tech Sector

Technopolis gained a complete view of the UK’s quantum technology industry, discovering previously unclassified firms and enabling accurate country benchmarking.

↗ Key Impact

£195,000+ in research savings

  • 600+ additional companies uncovered beyond traditional sources

  • 3–6 month manual process reduced to weeks

• Platforms

Data for Sustainable and Impact Investors, Faster and Smarter

Cutting delays in ESG data collection process from 90 days to just 10, while building client trust with transparent, real-time disclosures.

↗ Key Impact

$1M+ estimated benefit and
80% faster insights

  • ESG updates delivered in 9–10 days, not 90

  • Audit-ready transparency and restatement tracking

• Consulting and Research Firms

Adoption of New Technologies in the Global Humanitarian Sector

RAND Europe built the first global database of humanitarian organisations and uncovered evidence of new technologies adoption, including AI.

↗ Key Impact

€150K in value

1st global humanitarian map

  • 7,000+ organizations discovered, categorized

  • Foundation for future humanitarian tech Observatory

Understand Sectors, Places and Supply chains

Glass.AI’s capabilities vastly improved the quality and coverage of our findings.
— Head of Analysis, Geospatial Commission.

Accelerate Your Sales and Marketing Efforts

The output looks great. It is really helping us prioritise the campaign efforts and target accounts active in sustainability.
— Senior Marketing Manager, BSI Group.

Track Global Themes, Sectors and Companies

Not only did these insights contribute to higher booking rates, but they also revealed accounts with higher spending and lower overall risk. The results were nothing short of spectacular.
— Director Sales Operations, Capital One.

Build Targeted Sample Frames for Primary Research

I’ve been really impressed with the quality of the data extraction you’ve achieved, especially around things like descriptions of the organizations.
— Lead Data Scientist, Office for National Statistics (ONS).

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