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…

Georgian Purpose Report 2024

This reporting period marked five years since the establishment of Georgian’s Environmental, Social, and Governance (ESG) program. Over this period, we have sought to identify and apply standards that are relevant to our industry, and to explore ways to consider this guidance within our investment processes and operations.

How Vibe Coding is Changing the Economics of Software Development

Software development has changed dramatically in recent years. Developers have moved from copying code from Stack Overflow to using ChatGPT for code suggestions, using Integrated Development Environments (IDEs) with AI-powered autocompletion, to now prompting large language models (LLMs) to generate entire applications. This shift is transforming how engineering teams work and is reshaping the economics of software creation and cybersecurity.

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.

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