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…
Agentic AI and the Rumors of SaaS’s Demise
Introduction: A Conversation About Big Shifts When I joined Tobias Macey on…
Why Georgian Invested in Island (Again)
Island, the developer of the Enterprise Browser, emerged from stealth in early…
Why Georgian Invested in Render
We are pleased to announce Georgian’s investment in Render’s $80M Series C…
Purpose Report 2023
Read our latest Purpose Report for updates on our ESG strategy and annual portfolio ESG survey.
Why Georgian Invested in Armis (Again)
Armis offers visibility, security and risk management to enterprises across the Internet…
Why Georgian Invested in Glooko (Again)
We are pleased to announce that Georgian has led Glooko’s $100 million Series F fundraise.