Greenfield partners with disruptive tech businesses globally at the Early Growth (B/C) stage, and then applies its Greenfield Growth Momentum (G2M) playbooks.
What does it take to build effective AI tools across a company?
We were joined by @sebgoddijn , former Internal AI Lead at Ramp, to discuss how he built Ramp Glass so quickly and what he believes are the fundamentals for building useful AI tools.
1. Spend the time defining context - it’s the foundation of everything.
2. You don’t need to build something complex to create meaningful value – focus on memory, skills and connectors.
3. Buy infrastructure that helps you build faster
4. Be clear on ROI before you scale – start with something small and trackable
Full webinar in the comments.
Congrats as well to co-founders Shai Shalev-Shwartz, Yoav Levine, Or Sharir, Noam Wies and Gal Beniamini, and the whole @_doubleAI_ team on taking Maxwell from research to launch.
The full story in @WSJ: https://t.co/NArCdmfKpa
What if code could think while it runs?
Our portfolio company @_doubleAI_ has launched it's first product, Maxwell, designed to tune software to the exact chip and data it meets, with every optimization formally verified.
Congrats to @AmnonShashua and the team 👏
How it works: Maxwell watches code as it runs and rewrites the machine instructions for the exact chip and data. No source code changes.
doubleAI showcases:
- 38× faster data pipelines
- 4.25× faster AI inference kernels
- 1.87× faster 4K video generation