Top Tech Startups in North America in 2024

Digit is a fast-growing B2B SaaS startup revolutionizing how manufacturers manage inventory, production, and material planning. We believe manufacturers are the backbone of the economy. Our mission is to give them the software they deserve. Founded in 2022 by former manufacturing and startup executives, we’ve gathered significant funding and brought on an enthusiastic set of first customers. Now we’re ready to scale.

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).

MOLTEN is a cloud platform that streamlines core operations of media and entertainment enterprises. MOLTEN digitizes and transforms rights, content, and licensing operations across enterprises, empowering teams with real-time insight and automation tools to do more, accelerating deal-making and content monetization worldwide. MOLTEN offers multiple integrated cloud-based services to power back-end operations for media and entertainment enterprises, which include content rights, storage, delivery and licensing management.

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.

Scorability is passionate about improving college athletics recruiting by making it more efficient, transparent, and honest. Coaches at every level in every sport can use our world-class software to efficiently identify, engage, and recruit the best players for their program. Prospective student athletes benefit from a more direct and transparent recruiting process, avoiding unnecessary effort and wasted money. This is an incredible opportunity to join an exciting, mission-driven company led by experienced founders and executives who have created multiple billion-dollar start-ups.

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-…