ChainCatcher news, according to CoinDesk, blockchain indexing and data infrastructure platform Allium Labs has completed a $16.5 million Series A funding round, led by Theory Ventures, whose founder Tomasz Tunguz will join the board. Kleiner Perkins and Amplify Partners also participated in this funding.Allium Labs provides enterprise-level blockchain data for companies such as Visa, Stripe, and Uniswap Foundation, and plans to use the funds for data infrastructure development and market expansion. Latest data shows that demand for stablecoins is rebounding in 2024, with circulating supply nearing $150 billion and monthly active users reaching 27.5 million.Additionally, Web3 asset data platform RootData shows that Allium offers on-chain data infrastructure products, ranging from hosted blockchain databases and rich data models to real-time alert features.

ChainCatcher news, according to Bloomberg, AI startup Captions has completed a $60 million funding round, led by Index Ventures, with participation from Kleiner Perkins, a16z, Sequoia Capital, and actor Jared Leto. This brings its total funding to $100 million, with a valuation of $500 million.It is reported that Captions was founded in 2021 and uses AI technology to help people create, edit, and distribute videos.

ChainCatcher news, according to official sources, American venture capital firm Kleiner Perkins has announced the establishment of its twenty-first venture capital fund, KP21, which is an $825 million fund aimed at supporting startups. Additionally, the firm has set up a third selective fund, KP Select III, which is a $1.2 billion fund intended to support high-impact investments.In a press release, the company stated: "With these new funds, our team's focus on enterprise software, consumer, healthcare, fintech, and hard tech remains unchanged. Each of these areas will be greatly accelerated by artificial intelligence. Industries such as healthcare, legal, and finance, which require humans to perform low-level tasks and have slower software adoption rates, will undergo rapid transformation. New experiences and computing demands will create opportunities for hardware and physical infrastructure. Today, imagination is the limiting factor for the future of technology."Previously, Kleiner Perkins has invested in NFT platform Autograph, cryptocurrency exchange Rain Financial, NFT certification company Optic, generative AI startup Together, among others.

ChainCatcher news, according to Decrypt, generative AI startup Together has raised $102.5 million in Series A funding, led by American venture capital firm Kleiner Perkins, with participation from NVIDIA and Emergence Capital. Other participants in the Series A investment include NEA, Prosperity 7, Greycroft, 137 Ventures, Lux Capital, Definition Capital, and Long Journey Ventures.It is reported that the funds will be used to improve its AI application cloud platform, invest in R&D, contribute to open-source AI, and enhance its infrastructure. Based in San Francisco, Together was founded in June 2022 and develops open-source AI cloud software. The team consists of veterans from Apple, ETH Zurich, and scholars from Stanford University, UC Berkeley, and MIT.ChainCatcher previously reported that AI development company Together announced the completion of a $20 million seed round, led by Lux Capital, with participation from Long Journey Ventures, Robot Ventures, as well as PayPal co-founder Scott Banister, OpenSea co-founder Alex Atallah, and Uniswap COO MC Lader. The funds raised will be used to build an open-source AI and cloud platform.It is reported that Together has established partnerships with decentralized infrastructure providers, open-source communities, and academic and corporate research labs, and has already released several AI projects, including GPT-JT, OpenChatKit, and RedPajama. Its goal is to help create open models that go beyond closed models, with open-source as the default way to integrate AI. Through research on distributed optimization, a dedicated cloud platform has been built for large models, which can effectively scale training and inference, with plans to open access to the platform in the coming months.