"AI Infrastructure"

Articles and mentions

Los Angeles Times

Musical AI Raises $4.5M: Jesse Robbins Joins Board

Los Angeles Times follow-on coverage of Musical AI's $4.5M round led by Heavybit, with me joining the board. The piece frames Musical AI as rights-aware infrastructure for generative music.

Music Business Worldwide

Musical AI Bags $4.5M to Scale AI Attribution Tech: Jesse Robbins Joins Board

Music Business Worldwide broke Musical AI's $4.5M round, led by Heavybit, with me joining the board. The piece covers what Musical AI is building and why attribution matters for generative music.

“Musical AI's attribution technology is essential infrastructure that will enable and accelerate every media-focused AI product.”

— Jesse Robbins
Heavybit

Investing in Vibrant Labs: AI Agent Simulation Infrastructure

Heavybit announcement of our investment in Vibrant Labs, which builds production-grade simulation and verifier-driven evaluation for long-horizon AI agents.

“Vibrant Labs opens a new frontier in AI infrastructure: production-grade, RL-ready simulation and verifier-driven evaluation built for long-horizon agents.”

— Jesse Robbins
Heavybit

Experimentation, Causal Inference, and AI: Sean Taylor of OpenAI and VC Jesse Robbins at Data Council 2025

I interviewed Sean Taylor of OpenAI ahead of Data Council 2025 on experimentation, causal inference, and why AI generates more questions that need empirical answers.

“AI provides an opportunity to radically improve how we do things.”

— Jesse Robbins
♪ SoundCloud
S&P Global Market Intelligence

Next in Tech Ep. 197: Data Pipelines for AI

· Podcast · 32:05

On S&P's Next in Tech I argued that enterprise AI is won on data pipeline quality, not model size, and that data infrastructure is having a DevOps moment right now.

“Data pipelines are having a DevOps moment, starting with a cultural and technical shift toward continuous integration and delivery.”

— Jesse Robbins
♪ Apple Podcasts
Heavybit

The Data Pipeline is the New Secret Sauce

I wrote this at Heavybit in September 2024. The argument: the data pipeline is the differentiating asset in enterprise AI. Includes four inference hosting models and four enterprise maturity phases.

“The biggest challenge emerging is building and operating the infrastructure both for creating and running the data pipelines to build, manage, and maintain a robust, secure body of proprietary data.”

— Jesse Robbins
NYSE

AI Investor Jesse Robbins on NYSE Floor Talk

· Video · 02:01

On NYSE Floor Talk, August 2024: a short statement of what I invest in now, AI-powered developer tools and infrastructure at the pre-seed and seed stage.

“I am focused on investing in pre-seed and seed companies using AI to enable new ways of writing software, of managing and deploying the software and infrastructure that powers everything.”

— Jesse Robbins
▶ YouTube