Goodfire, a San Francisco, CA-based startup dedicated to demystifying generative AI fashions, raised $7M in seed funding.
The spherical was led by Lightspeed Enterprise Companions, with participation from Menlo Ventures, South Park Commons, Work-Bench, Juniper Ventures, Mythos Ventures, Bluebirds Capital, and a number of other notable angels.
The corporate intends to make use of the funds to scale up the engineering and analysis staff, in addition to to boost its core expertise.
Led by Eric Ho, CEO, Goodfire develops instruments that allow builders to debug AI methods by offering deep insights into their inside workings. Its product applies interpretability analysis for sensible understanding and modifying of AI mannequin conduct. It’s going to present builders with insights into their fashions’ inside processes, and exact controls to steer mannequin output (analogous to performing “mind surgical procedure” on the mannequin). Furthermore, interpretability-based approaches can scale back the necessity for costly retraining or trial-and-error immediate engineering.
The staff consists of:
- Eric Ho, CEO, beforehand based RippleMatch, a Sequence B AI recruiting startup backed by Goldman Sachs.
- Tom McGrath, Chief Scientist, beforehand senior analysis scientist at DeepMind, the place he based DeepMind’s mechanistic interpretability staff.
- Dan Balsam, CTO, was the founding engineer at RippleMatch, the place he led the core platform and machine studying groups to scale the product to thousands and thousands of lively customers.
FinSMEs
15/08/2024
