Top Tech Startups in Northern California in 2024

Asset management powered by machine-enhanced fundamentals predictions

Chalk is building machine learning infrastructure to answer the world’s hardest questions. Our platform is built to power credit, risk, insurance, medical, and recommendation decisions for the world’s most innovative companies. Answering these complex questions requires sourcing data from a wide range of providers and rapidly iterating on feature definitions. Chalk makes it easy for machine learning teams to build high-performance pipelines that deliver data to models at the right time. We orchestrate infrastructure and automatically track data lineage so developers can work confidently and focus on their unique products and insights. Chalk is based in San Francisco, California. Meet Our Founders Elliot (linkedin.com/in/elliotmarx) started his career at Affirm where he built the early risk and credit data infrastructure system (the inspiration for Chalk). He then started Haven Money (with Andy) which Credit Karma acquired to power its banking products. Andy (linkedin.com/in/amoreland) met Elliot at Stanford admit weekend – Elliot was his room host and they’ve been best friends ever since. After school, Andy worked at Palantir on large government data infrastructure projects. He then founded Haven Money (with Elliot) which now powers Credit Karma Money. Marc (linkedin.com/in/marcff) spent many years at Google where he helped to launch the first version of Google Wallet. He went on to start Index which Stripe acquired as its in-store payment solution – it’s now called Stripe Terminal.

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At AKQA we are trusted to work on prestigious assignments for many of the world’s most respected companies, families and institutions. At the same time, we are fortunate to receive industry-leading endorsement for the quality of our work, innovation and thinking. Our consistent track record of results achieved for clients have set our firm apart. While the clients we serve and the recognition we receive is a privilege and an honour, there is a responsibility on each of us to ensure our intentions and everyday actions are representative of our Purpose and Values. Many of us joined AKQA inspired by the potential our values envision and the behaviours we uphold and respect. Our founding purpose and values guide our work and the philosophy of our firm.

World's first AI Accountant to keep books, file taxes and manage compliance

At Roi, our vision is to be the one-stop-shop for all your investing needs, with support for everything from stocks and retirement to crypto, NFTs, collectibles and more. Right now, we’re working to organize the world's investment opportunities into a single platform that makes it easy to track what you own, discover new opportunities that are right for you, and invest in those assets with ease.

Homeroom is OpenTable for the after school market. After school enrichment coordinators use our free SaaS application to manage their current enrichment programs and discover new classes they can bring to campus.

The Spindl product involves three main themes: Identity, Attribution, and Acquisition. The Identity layer joins user behavior across Web 2 and Web 3 with a novel and proprietary data layer that de-duplicates wallets and browsers. Attribution is the ringing cash register of a mature media ecosystem: Web 3 won't succeed without one. Using our identity layer, we do full click-to-chain attribution that teases out what users are doing on-chain and why. Acquisition is the action of the growth stack: it's what we do with all the data we complied via identity and attribution. Whether you use influencers, tweets, or Discord posts, one Spindl link credits the right source for your user, and pays whatever creator or developer helped along the way (with no ads middlemen).

"If you can text, you can crypto". Easy to access, easy to understand, easy to grow. Get your Valora wallet and step into the future of crypto.

Jaxon dramatically increases AI project success rates, fosters collaboration, increases staff efficiency, and continuously learns what works and when. Through R&D efforts with the U.S. Department of Defense, Jaxon has created a way of simulating model system performance and getting the design right the first time. By formalizing the AI design process, design tradeoffs are able to be explored. It allows all talent levels to quickly and easily create, test, and iterate on AI system designs without the need for extensive coding or data preparation. It uses an AI-powered ‘Fact Checker’ to address the hallucination problem and bring trust into the output of large language models (LLMs). As a pre-trained Data Science Agent, Jaxon makes decisions based on established conventions and guides users to the right design. Rather than requiring the developer to specify every detail of how the application should work, this approach makes it much easier and faster to build applications.