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The a16z Show · Friday, July 31, 2026

Performance and Latency Drive AI Model Choices for Growth-Stage Companies

For growth-stage companies like Decagon, performance, latency, and accuracy are the primary drivers for AI model selection, rather than immediate cost savings. Ashwin Srinivasa notes that while cost benefits are a nice side effect of using open-source models, the focus remains on optimizing the agent's performance for customer satisfaction.

personAshwin Srinivasa

The tape

3 quotes
Performance, latency, and accuracy is definitely the driving factor for most of this. Right?
Ashwin Srinivasa
Cost is a nice benefit in that, you know, surprisingly, this is one of the few tasks where you kind of get all three things. It is better at the task, it is cheaper, and it is faster.
Ashwin Srinivasa
Our, our highest priority is just growing. And when you're talking to a customer, they don't really care about what your costs are. They just care about how well your agent performs.
Ashwin Srinivasa
Heard on The a16z Show — “How Enterprise AI Really Gets Deployed, published Friday, July 31, 2026. Heardvine summarizes and quotes with attribution and timestamps, and links to the original everywhere.
Transcribed via Gemini audio transcription · $0.07
Performance and Latency Drive AI Model Choices for Growth-Stage Companies — Heardvine