These days, every business relies on data, whether it's a small-scale retailer or a multinational corporation. It’s what helps businesses understand their finances, enables trend forecasting, and makes inferences about what customers want. But data can be unwieldy, especially if there’s a lot of it to sift through, and sometimes businesses struggle to collect and interpret analytics even if they know what they’re looking for. Thankfully, that’s where machine learning comes in.
Artificial intelligence is programmed to become more and more humanlike, and computers are now capable of learning from and interpreting data independent of human guidance. Machine and deep learning allows technology to access and learn from datasets independent of special programming or monitoring. Today, we can see machine learning implemented in almost every sector imaginable, from predicting lending risk for financial companies to speeding up disease detection for patients in the healthcare system. As a tool, artificial intelligence is becoming more reliable and intuitive by the minute, and there seems to be no shortage of ways that machine intelligence can make our lives easier. Check out how these 24 machine learning companies in San Francisco are imagining incredible new ways for computers and humans to work side by side.
San Francisco Machine Learning Companies to Know
- Faire
- kea
- HouseCanary
- Domino Data Lab
- Figure Eight
- People.ai
- Sift
- Grammarly
- Grand Rounds
- PicnicHealth
Founded: 2017
Focus: E-commerce
What they do: Faire is an online wholesale marketplace that allows independent retailers and boutique owners to access in-demand products and keep their shelves stocked with everything their shoppers crave. From jewelry to pet products, wellness items, home decor and more, Faire offers owners flexibility with wholesale prices and Net 60 terms, along with a machine learning engine that perfectly matches products and retailers.
Founded: 2018
Focus: Natural Language Processing
What they do: Kea leverages the burgeoning capabilities of machine learning with human intelligence and accuracy to create a robust ordering platform that frees restaurants up to focus on what matters most. The powerful platform utilizes natural language processing to take orders over the phone and provide up-sell opportunities based on previous orders while human specialists process the order for accuracy and helps the AI increase capabilities over time."
Founded: 2009
Focus: Software
What they do: Grammarly utilizes artificial intelligence to help users improve their overall writing skills by catching mistakes in grammar, spelling, tone and style. The platform is able to integrate itself within a user’s browser to integrate with cloud-based word editors, emails, messaging platforms, social media accounts and more, allowing users to write more confidently across the board.
Founded: 2013
Focus: Fintech
What they do: TrueAccord uses machine learning to streamline the debt resolution process while taking a human-centric approach to helping people regain their financial health. The platform connects data points to predict a person's reaction to communication frequency, timing and content in order to determine a course of action for collecting debts while keeping compassion at the top of mind for a more effective, humanistic collection process.
Founded: 2011
Focus: Healthcare
What they do: Grand Rounds takes the stress out of the healthcare decision making process for both companies and individuals. The platform uses machine learning to monitor healthcare bills, tracks medical history and equip patients with a list of pertinent questions to ask doctors, while customer care coordinators connect with users to pinpoint doctors in an individual’s network that are best equipped to deliver care tailored towards their needs.
Founded: 2014
Focus: Healthcare
What they do: PicnicHealth is a key resource for giving patients access to their own medical records, a process that traditionally can be filled with roadblocks. The company’s safe and secure platform houses sensitive medical information provided by caregivers and tracked down by PicnicHealth’s AI. The data is then organized and made accessible so users can reclaim full visibility over their medical history.
Founded: 2007
Focus: Enterprise Software
What they do: By linking human intelligence with machine learning, Figure Eight runs a data annotation platform that creates training material for real world models. Figure Eight turns audio and visual material into training data, which can be implemented in a range of cases ranging from autonomous vehicle technology to chatbots. They collaborate with companies like eBay, Adobe and Oracle to help build and launch their machine learning projects.
Founded: 2010
Focus: E-commerce
What they do: As more and more businesses pivot toward building e-commerce sites, Wish provides a platform that utilizes machine learning and data science to connect enterprises to their customers. Wish's learning technology picks up on preference and browsing info to deliver a personalized shopping experience to online consumers, all through their mobile app. Wish's platform is utilized by over one million merchants to better leverage online shopping to build their customer base.
Founded: 2013
Focus: Data Science
What they do: Industries from healthcare to automotive manufacturing all require data science to build their products, and Domino Data Labs seeks to provide the data platform they need. Domino's platform allows data science teams to leverage machine learning data to develop products and models to power their company growth.
Founded: 2009
Focus: Enterprise Software
What they do: Kinetica works with leading global companies to combine historical data with machine learning technology to track real-time analytical insights. In working with companies like NVIDIA, Oracle and HP, Kinetica has been able to help companies internationally build and deploy applications to power their growth and security protocols.
Founded: 2016
Focus: Marketing + Sales
What they do: People.ai embraces artificial intelligence to discover new revenue opportunities for sales, marketing and customer success teams. The company’s Revenue Intelligence System (RIS) automates the capture of all contact and customer activity data while updating CRMs and providing actionable marketing and business intelligence insights for full transparency across the enterprise.
Founded: 2011
Focus: Cybersecurity, Fraud
What they do: Sift uses machine learning to proactively prevent fraud, streamline operations and help grow the revenue of businesses across a range of industries. The platform features a global fraud database that has a constantly-expanding library of more than 16,000 fraud signals to help digital stores understand, identify and stop suspicious behaviors in the act, leading to faster action and less crisis mitigation.
Founded: 2014
Focus: Data analysis
What they do: Primer uses natural language processing and machine learning to efficiently analyze large datasets. The company’s AI-driven platforms read documents, discover insights and generate reports designed to be easily digestible and immediately impactful, leading to actionable solutions that can be taken in real-time.
Founded: 2016
Focus: Delivery
What they do: Harness has built its name on being a Delivery-as-a-Service platform, with the goal of helping developers more quickly and more easily release code. Developers can automate their DevOps through Harness's smart technology to make deployment faster, while maintaining continuous insights and security governance during test stages. Headquartered in San Francisco, Harness has additional Silicon Valley offices in Mountain View, as well as locations in Dallas, Bengaluru and London.
Founded: 2013
Focus: Real Estate
What they do: HouseCanary is a data-powered machine learning platform that makes predictions about future real estate trends. The company utilizes deep learning technology to make forecasts about real estate values designed to help users estimate property values and make decisions based on market information. HouseCanary delivers actionable data services that can be utilized both by individual homeowners and by realtors.
Founded: 2011
Focus: Car Insurance
What they do: Metromile uses data knowledge and machine learning to help people access better rates for their car insurance. Their insurance platform offers a pay-per-mile option that allows people to save on insurance costs by only paying for what they use. Metromile also offers a system that simplifies the process of filing insurance claims, utilizing sensors and gathered data to determine claim details and process payouts.
Founded: 2016
Focus: Real Estate
What they do: States Title is a real estate title and insurance company that leverages machine learning to simplify the real estate title process for agents, lenders and buyers. Their machine intelligence platform speeds up the process of closing loans and evaluating property value, increasing the profit margin on loans by up to 35 percent. Based in San Francisco's South of Market district, States Title has an additional 100 offices across the country in 40 states.
Founded: 2011
Focus: Communications
What they do: Trusted by companies like Airbnb, Autodesk and Microsoft, Directly's platform helps companies engage with customers by utilizing machine intelligence to build digital messaging and chatbot channels. Their software predicts opportunities for improvement and potential future issues to improve customer experience and deliver support solutions faster. Directly's solutions can be integrated with any previous existing application or bot, making deployment quicker and easier.
Founded: 2018
Focus: Manufacturing
What they do: Electronics manufacturing is undergoing a robotics transformation, and Bright Machines is taking advantage of software and intelligent machines to propel that transformation. Bright Machines helps companies get their products to market faster by providing a software platform for centrally managing yields, deployment and automation.
Founded: 2010
Focus: Healthcare
What they do: LeanTaaS helps companies in the healthcare industry adopt software and analytics to guide their operations and improve patient experiences. Their software services help organizations arrange their schedules to reduce patient wait times and increase patient support. Over 50 healthcare institutions across the country leverage LeanTaaS's services to increase their patient satisfaction levels and optimize scheduling.
Founded: 2013
Focus: Real Estate & Travel
What they do: Airbnb is rapidly becoming a preferred method of booking travel, and as more and more people are listing their homes on the site, Beyond Pricing seeks to help hosts manage their accounts and scheduling. Property managers and vacation rental owners can receive pricing recommendations for their properties through Beyond Pricing's machine intelligence tools, assisting them in both increasing revenue and simplifying the renting process.
Founded: 2008
Focus: Media & TV
What they do: Samba TV aims to connect television viewers with more programs they'll enjoy by combining personalized data with content discovery tools to access more content. Their technology is built to be used on smart TVs and mobile devices, making it easier to access TV shows on the go. In efforts to help the broadcasting industry maintain viewership, the company partners with networks to more accurately gather ratings to help them reach more of their target audiences.
Founded: 2007
Focus: Cloud Computing
What they do: LucidWorks seeks to harness the power of search by building enterprise-grade search tools for leading companies in retail, healthcare, insurance, and other industries. Their suite of products allow companies to index documents, gather actionable insights and build their own data discovery tools to help better engage their customer base.
Founded: 2011
Focus: Enterprise Software
What they do: One of the biggest setbacks a company's IT infrastructure can face is a data outage. Moogsoft hopes to help companies gain insight into outage causes in order to prevent them in the future. Their intelligent technology is capable of analyzing billions of IT events at once, helping create a clearer picture of what causes outages and how enterprises can adapt to keep their technology running.
