From Dealroom · · 50s
Mobileye Founder's DoubleAI Raises $200M to Cut Compute Costs
Mobileye founder's AI startup secures $200m to slash computing costs via running code optimisation.
In brief
Mobileye founder's AI startup secures $200m to slash computing costs via running code optimisation. Mobileye founder Amnon Shashua's DoubleAI raised $200 million in Series A funding to optimise software running code and reduce compute costs. Originally reported by Dealroom.
Quick answers
- What's the deal?
- Amnon Shashua, Mobileye founder, launched doubleAI with its first product Maxwell to optimise software running and cut computing costs.
- Who's backing it?
- Dell Technologies Capital, Nvidia, Greenfield, Pitango, and BRM joined the $200 million Series A round led by Lightspeed Venture Partners and Bessemer Venture Partners.
- What's the endgame?
- DoubleAI's Maxwell optimises running programs without changing source code, making data pipelines 38 times faster and AI inference kernels 4.5 times faster.
- What is the key takeaway from Mobileye Founder's DoubleAI Raises $200M to Cut Compute Costs?
- Mobileye founder Amnon Shashua's DoubleAI raised $200 million in Series A funding to optimise software running code and reduce compute costs.
What's the deal?
Amnon Shashua, Mobileye founder, launched doubleAI with its first product Maxwell to optimise software running and cut computing costs.
“maxwell an ai that optimises how software runs to cut computing costs”
Who's backing it?
Dell Technologies Capital, Nvidia, Greenfield, Pitango, and BRM joined the $200 million Series A round led by Lightspeed Venture Partners and Bessemer Venture Partners.
What's the endgame?
DoubleAI's Maxwell optimises running programs without changing source code, making data pipelines 38 times faster and AI inference kernels 4.5 times faster.
“maxwell analyses a running program its hardware and its data then optimises the underlying machine instructions without changing the source code”
In short
Mobileye founder Amnon Shashua's DoubleAI raised $200 million in Series A funding to optimise software running code and reduce compute costs.
