Limeglass: Transforming AI for Financial Research
14 January 2026
๐ฆ๐ผ๐น๐๐ถ๐ป๐ด ๐๐โ๐ ๐๐ถ๐ด๐ด๐ฒ๐๐ ๐๐ต๐ฎ๐น๐น๐ฒ๐ป๐ด๐ฒ ๐ถ๐ป ๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น ๐ฅ๐ฒ๐๐ฒ๐ฎ๐ฟ๐ฐ๐ต: ๐ฅ๐ฒ๐น๐ฒ๐๐ฎ๐ป๐ฐ๐ฒ & ๐ฅ๐ฒ๐ฐ๐ฒ๐ป๐ฐ๐
Everyone is turning to LLMs to unlock their content. It sounds simple: feed the model all your data and ask questions. But in finance, itโs not that simple. Two critical challenges stand in the way:
โข ๐ฅ๐ฒ๐น๐ฒ๐๐ฎ๐ป๐ฐ๐ฒ – Answers must be precise and context-aware
โข ๐ฅ๐ฒ๐ฐ๐ฒ๐ป๐ฐ๐ – You canโt make decisions on outdated information when markets move daily
๐ง๐ต๐ฒ ๐๐ถ๐บ๐ฒ๐ด๐น๐ฎ๐๐ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป
Our Interactive AI Knowledge Engine supercharges the content with a proprietary knowledge graph of 200,000+ financial concepts creating context-rich LLM answers.
๐๐ถ๐บ๐ฒ๐ด๐น๐ฎ๐๐ – ๐ฃ๐ฟ๐ผ๐๐ฒ๐ป ๐ถ๐ป ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ
A major European financial institution deployed our ResearchGenie AI chat internally, driving a surge in research engagement across departments. Next quarter, theyโre rolling it out to clients.
๐๐น๐ฒ๐
๐ถ๐ฏ๐น๐ฒ ๐๐ป๐๐ฒ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป
โข Available as a turnkey platform or via APIs
โข Search engine and LLM agnostic
๐ช๐ต๐ฒ๐ฟ๐ฒ๐๐ฒ๐ฟ ๐ฌ๐ผ๐ ๐๐ฟ๐ฒ ๐ผ๐ป ๐๐ต๐ฒ ๐๐ผ๐๐ฟ๐ป๐ฒ๐
Sell-side or buy-side, testing your own chatbot/agent or just starting out, it may be worth spending 30 minutes chatting to us.
