Top Tech Startups in United States in 2024

Moonsong Labs is a cutting-edge Web3 incubator and Engineering Services company focused on driving projects and ideas in the next wave of developer and end user adoption.. We're assembling a dream team of brilliant minds who are as excited as we are about building the future of the internet. Together, we'll disrupt traditional industries, empower individuals, and create a more equitable and transparent digital landscape. Examples of Moonsong Labs projects include Moonbeam (EVM compatible L1 optimized for cross chain use cases), Tanssi (AppChain Infrastructure), and kluster.ai (Decentralised compute platform).

Mission: Be the compute platform for AGI and make AI better, faster, and cheaper by building more powerful hardware. Approach: We target just LLMs, whereas GPUs target all ML models. LLMs are different; our hardware and software can be much simpler. By combining deep domain experience, a few key ideas, and a lot of careful engineering.

daydream is a platform that automates programmatic SEO, end-to-end. The platform helps businesses identify search patterns, creates content at scale, and automatically improves that content. We've raised $2.5M from leading investors like Basis Set Ventures, WndrCo, SOMA Capital and current and former Heads of Growth/Product Growth at companies like Notion, Airtable, Webflow and Dropbox. Our customers include Product Hunt, Notion, Tome and other venture-backed companies. We're on a high-growth trajectory and we're looking for people who want to join us on the journey to building a billion-dollar company. Our team previously worked together at Flixed, a startup we bootstrapped to $2M+ in revenue almost purely on the back of programmatic SEO.

We believe that the world's decisions can be made by markets. To make that a reality, we're building the world's first platform for creating and trading decision markets. It's like Polymarket but for decision markets.

Measuring model ability is the most challenging part of creating applications that are capable of automating any given part of the economy. There are no good techniques or benchmarks for evaluating LLM performance on business-relevant tasks, so adoption for enterprise production settings has been limited (see Wittgenstein’s ruler). This problem materializes in each place where LLMs have potential: in understanding whether the AI tool companies are building a product will satisfy a customer demand, determining how feasible models and vendors are for a given enterprise in making purchasing decisions, for researchers who need a north star to which to expand model ability. Today, answering these questions amounts to hiring a human review team to manually evaluate model outputs. This is prohibitively expensive and slow. Vals AI is building the enterprise benchmark of LLM and LLM apps on real-world business tasks. In doing so we are creating the infrastructure + certification to automatically audit LLM applications, verifying they are ready for consumption. We've raised mid-seven figures from some of the top institutional investors and strategic angels in Silicon Valley. See our benchmarks and launch announcement in Bloomberg: bloomberg.com/news/newsletters/2024-04-11/this-startup-is-trying-to-test-how-…

Ataraxis AI is a VC-backed start-up working at the intersection of multi-modal AI, oncology, and precision medicine. We are building cutting-edge diagnostic tools to assist physicians in selecting the most optimal treatments for their patients. We are a team of AI researchers, medical doctors and operators advised by a team of advisors who are pioneers in their respective fields, including the AI godfather, Yann LeCun, and oncologists at top cancer research institutes. At Ataraxis, you will have a unique opportunity to shape not just the future of our company, but the future of healthcare. We are looking to bring on highly motivated candidates to fulfill this mission.