Top Tech Startups in California, US in 2024

At Optivolt, we engineer next-gen power electronics for solar modules, enabling up to 60x more power in shaded conditions. Our technology is deployed with the National Oceanic and Atmospheric Administration, U.S. Air Force, and Ukraine Armed Forces, ensuring reliable solar energy production, even in the harshest environments on the planet. After proven success with our military partners, we’re bringing this technology to residential homes across the country. Millions of previously-disqualified homes are now eligible for solar power — rain, shine, or shade. Join our mission in making solar energy accessible for all, engineering a cleaner, sustainable future. With Optivolt, the future of solar energy is brighter than ever.

Avoma is an intelligent meeting assistant for professionals to automate common tasks around meetings. We leverage state-of-the-art NLP and machine learning techniques to summarize meeting notes and extract key topics and action items, unlocking the rich trove of data and insights in your conversations.

Pomelo is the first financial technology platform to combine money transfer and credit together into a unified product. Pomelo has reinvented the money transfer experience to be refreshingly free, instant, and secure. By extending credit to family instead of sending cash, Pomelo helps consumers use and build their credit so that they can help and stay in touch with loved ones around the world.

Code for America is committed to building a team as diverse as the nation we serve. We’re made up of people-centered problem solvers: technologists, advocates, storytellers, and organizers from many different backgrounds and communities around the country. We merge the best parts of technology, nonprofit, and government. We believe government at all levels can and should work well for everyone— and the mindful use of technology makes it possible. We’re known for building digital tools, but the work doesn’t stop there. We seek to transform government by showing what’s possible when communities are included in policy and service design. We use insights and ideas from real people to guide us to real solutions that break down barriers to meet community needs and improve government in meaningful ways. Want to use your skills for good and help us drive change that lasts? Join our team!

Boomerang puts people at the center of productivity. We’re redefining productivity, time management, and how we treat each other by building tools that meaningfully improve everyone’s life. If you're a productivity geek at heart, come work with us! If you've ever snoozed an email, sent one later, paused your Inbox, tracked an email to see if it gets a response, or scheduled a meeting with a live, interactive view of your availability built right into the email itself, well, we made that happen. We've been profitable for over 10 years, we have a small team of awesome, good-hearted people. We work remotely from all over the US, a reasonable amount (we take all federal holidays, etc.), but we work very effectively and efficiently. We have built a dozen schools in Burma and sponsored research on genetically-modified carbon-capturing algae and using mining waste as soil amendments to increase agricultural carbon sequestration with our profits. But what gets us out of bed in the morning is productivity. If you have strong opinions (either way) about Inbox Zero, once wrote an ode to the Pomodoro method, or convinced all of your friends to use [insert to-do list software or calendar software] or better yet, convinced them all to use Boomerang, we'd love to meet you!

NetBox Labs helps companies build and manage complex networks. We help customers accelerate network automation by delivering open, composable products and supporting the network automation community. The company’s NetBox Cloud product offers an enterprise-grade, SaaS version of open source NetBox — the world’s most popular network source of truth. NetBox Labs is the commercial steward of NetBox and Orb, the next-generation open source network observability platform. With dozens of customers like Dartmouth College and Constant Contact, and backed by investment from GGV Capital, Grafana Labs CEO Raj Dutt, Flybridge, IBM, Salesforce Ventures, and Mango Capital; NetBox Labs is building the open, composable network automation stack for networking teams.

Achieving our mission will require solving ambitious technical challenges, including engineering, research, and design, and we are assembling a world-class team to do so. Our founding team includes AI pioneers from Google Brain and Meta Research whose research has led to major breakthroughs in natural language understanding and dialog applications such as Transformers and Google LaMDA. Check out beta.character.ai to get a glimpse into the future.

We improve care plan compliance for people living with chronic disease by using incentive strategies from behavioral economics, saving our healthcare system billions.

Co-founded in 2007 by two leading scientists, The Voleon Group combines an academic approach to research with an emphasis on scalability and risk management to deliver cutting-edge technology at the forefront of the finance industry. Many of our leaders and employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. We are committed to exemplary performance in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility. Voleon’s CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer/Head of Research is a Statistics faculty member at UC Berkeley, where he earned his Ph.D. At Voleon, we approach investment management through the prism of machine learning, in which flexible statistical models are applied to the problem of financial prediction. Rather than having humans look at individual events within the marketplace, machine learning employs statistical algorithms capable of detecting persistent effects across large swaths of data. Besides financial markets, there is a wide array of other real-life applications for machine learning, from medical diagnosis to weather prediction.