Loading...
Loading...
Browse all stories on DeepNewz
VisitSentient Labs' next funding round valuation?
Below $200 million • 33%
$200 million to $500 million • 33%
Above $500 million • 33%
Public announcement or press release from Sentient Labs or major financial news outlets
Sentient Labs Raises $85 Million in Seed Funding Led by Founders Fund, Pantera Capital, and Framework Ventures
Jul 2, 2024, 02:08 PM
Sentient Labs, an open-source AI development platform, has raised $85 million in a seed funding round co-led by Peter Thiel's Founders Fund, Pantera Capital, and Framework Ventures, with contributions from MH Ventures and Arrington Capital. The six-month-old startup aims to build a community-driven open AGI platform, leveraging blockchain technology via Polygon. Sentient's mission is to democratize AI development, ensuring that AI benefits humanity as a whole. The funding will accelerate the development of open-source AI models and provide a pathway for specialized models to achieve efficient and trusted distribution.
View original story
Less than $500M • 25%
$500M - $1B • 25%
$1B - $2B • 25%
More than $2B • 25%
$100M - $200M • 25%
$200M - $300M • 25%
$300M - $400M • 25%
Above $400M • 25%
Less than $500 million • 25%
$500 million to $1 billion • 25%
$1 billion to $2 billion • 25%
More than $2 billion • 25%
Less than $6 billion • 25%
$6 billion to $7 billion • 25%
$7 billion to $8 billion • 25%
More than $8 billion • 25%
Less than $5 million • 25%
$5 million to $10 million • 25%
$10 million to $20 million • 25%
More than $20 million • 25%
Less than $150 billion • 25%
$150 billion to $175 billion • 25%
$175 billion to $200 billion • 25%
More than $200 billion • 25%
Less than $2 billion • 25%
Between $2 billion and $3 billion • 25%
Between $3 billion and $4 billion • 25%
More than $4 billion • 25%
Less than $200M • 33%
$200M - $300M • 33%
More than $300M • 33%
Below $50 million • 25%
$50 million to $100 million • 25%
$100 million to $200 million • 25%
Above $200 million • 25%
Computer Vision • 25%
Natural Language Processing (NLP) • 25%
Reinforcement Learning • 25%
Robotics • 25%