Georgian AI Lab

A Practical Guide to Reducing Latency and Costs in Agentic AI Applications

Scaling companies that are actively integrating Large Language Models (LLMs) into their agentic AI products are likely to face two significant challenges—increasing latency and costs: increasing traffic and long prompts lead to slower response times (latency) from LLMs, this can negatively impact user experience and sales, and application costs increase exponentially as API (Application Programming…

Why We Need Blockchain Data Infrastructure To Build Web3

I’m Kat and I work on the Growth team here at Georgian….

In Verifiable Credentials We Trust: The Intrinsic Value of Digital Identity

Want to know one of the biggest ironies of living in an…

The Socially Responsible Revolution: How ESG Can Impact Your Business

In our changing world, environmental, social, and governance (ESG) management and investing…

Team Profile: Sonia Lagourgue, ESG & Purpose Leadership

What do you do at Georgian? My role at Georgian has three…

Higher Purpose Report 2021

We share our climate strategy, ESG data tracking and our diligence process in 2021.

How To Find the Best AI Opportunities in Your Business

Building an AI product can seem daunting if you don’t know where…

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