Top Tech Startups in New York City, NY in 2024

THE PROMISE With ultrasound a doctor can see into the heart of someone in cardiac arrest or into the abdomen of a woman with an ectopic pregnancy, and save their lives. 75 years after its invention, ultrasound remains an indispensable tool for diagnosis and monitoring. THE PROBLEM 60% of the world lacks access to medical imaging because current technologies are unwieldy, expensive, and require extensive training. While doctors carry supercomputers in their pockets, they still rely on the 200-year old stethoscope​ as their primary diagnostic tool. THE SOLUTION Our mission is to democratize healthcare by making medical imaging accessible to everyone around the world. Butterfly Network has raised >$350M to develop and commercialize a handheld, smartphone-connected ultrasound probe powered by AI. We operate at the intersection of medicine, engineering, and machine learning to create breakthrough technology that becomes smarter with each new patient.

Using machine learning, Relyance AI builds a dynamic, real-time data inventory and map so your organization can monitor how personal data moves through your code, applications, infrastructure, and to third-party vendors. Relyance AI thrives off of and celebrates diversity. We are committed to creating a safe, healthy, and inclusive work environment no matter our employees' race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status, and encourage diverse candidates to apply.

Monad Labs is accelerating the Ethereum Virtual Machine so that decentralized apps can eat the world. The EVM is the ubiquitous standard of web3; over 96% of all capital in DeFi is in EVM apps. In spite of this, EVM-compatible blockchains have extremely low throughput: Ethereum supports roughly 10 transactions per second, and no EVM rollup is over 50 tps. We are solving this problem with Monad, the performant Layer-1 blockchain that introduces parallel execution and superscalar pipelining to the EVM. Deep optimization is needed across all levels of the stack - from the database layer, to the virtual machine layer, to the consensus and networking layer - in order to streamline EVM transaction processing. Monad introduces these low-level optimizations, allowing consumer-grade hardware to deliver exceptional performance while maintaining a high degree of decentralization. We recently raised $225M in series A funding to scale our team in bringing the Monad blockchain to production.

Leading brands rely on Conductor Searchlight for web presence management and SEO, allowing them to engage customers throughout their buying journey. The results are clear: more traffic, more conversions, more revenue.

Mobot is a QA-as-a-service platform using actual mechanical robots to automate testing of repetitive functions on real mobile devices. Mobot's human-supervised robots make it possible to automate mobile app tests that emulators, virtual devices, and existing frameworks can't. This approach eliminates thousands of hours of manual testing, increases testing efficiency and physical device coverage, and captures more bugs in-app before app store launches than software can do alone. Our mission is to revolutionize the way engineering teams test & develop their products. We work with software teams in all kinds of industries – mobile, e-commerce, FinTech, health, and IoT (to name a few) – providing automated testing of their mobile products and smart devices. We’ve raised money from world-class B2B enterprise SaaS investors, including Cota Capital, Heavybit, Uncorrelated, Primary Venture Partners, Bling Capital, Y Combinator, and more.

Ripple is the leading provider of crypto solutions for businesses. Founded in 2012, our vision is to enable a world where value moves as seamlessly as information flows today—an Internet of Value. As a leading enterprise blockchain company with products in commercial use by hundreds of customers across 50+ countries, our unique crypto solutions are faster, more transparent, and more cost effective than traditional financial services – solving inefficiencies that have long defined the status quo.

Part baby monitor, part baby translator, part sleep guru, Nanit is the only smart baby monitor that gives parents sleep tracking and personalized sleep guidance so that their child can sleep better, and dream bigger.

Yext (NYSE: YEXT) is the leading digital presence platform for multi-location brands, with thousands of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we are consistently recognized as a ‘Best Place to Work’ globally by industry leaders such as Built In, Fortune, and Great Place To Work®!

LogRocket was founded in 2016 by Matthew Arbesfeld and Ben Edelstein, a computer science duo who have been building products together since the 3rd grade. Frustrated by how difficult it was to understand their customers' experiences, Arbesfeld and Edelstein set out towards an audacious goal: make every experience on the web as perfect as possible. By recording videos of user sessions along with logs and network data, LogRocket intelligently highlights UX issues and surfaces the root cause of every bug. Backed by top investors like Matrix Partners and Battery Ventures, we're on a mission to improve society's experience with software.

Nova Credit is the premier cross-border credit reporting agency. Lack of a domestic credit history keeps millions of immigrants in the United States from realizing their dreams. The award-winning fintech helps newcomers apply for financial services using their international credit history from countries including Australia, Brazil, Canada, India, Mexico, Nigeria, South Korea, and the UK. Nova Credit translates international credit data into a U.S.-equivalent score and report in a format familiar to American underwriters, who use it to evaluate applications for credit products.