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…
Technology must-reads
A Practical Guide to Reducing Latency and Costs in Agentic AI Applications
Scaling companies that are actively integrating Large Language Models (LLMs) into their…
How to Build Differentiated Agentic AI Products: A Practical Guide
In her latest blog, Asna Shafiq dives into: Identifying potential use cases for agentic AI, starting small to build confidence and tips to differentiate your AI solution.
Why Georgian Invested in Ambience Healthcare
We are pleased to announce Georgian’s participation in Ambience Healthcare’s $243 million…
Operations must-reads
How to Use OKRs to Unlock Your Company’s Potential
You’re probably familiar with OKRs — Objectives and Key Results. OKRs are…
How to Tell Your Story to Growth-Stage Investors
So you’re an early-stage startup that’s seeing more customers and more excitement…
G7: The Seven SaaS Metrics Georgian Uses to Evaluate Growth-stage Software Companies
The G7: a new framework composed of the seven most important metrics that we use to evaluate the strength of a growing technology company.