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Top Seattle, WA Machine Learning Companies (69)

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Seattle, Washington, USA
5,500 Employees

Snap Inc. is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Seattle
121,990 Employees

Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.


Artificial Intelligence • Computer Vision • Hardware • Machine Learning • Robotics • Software • Agriculture
Seattle, Washington, USA
180 Employees

Carbon Robotics, a Seattle-based agricultural robotics startup founded in 2018, builds innovative agricultural tools that empower farmers to operate more efficiently. Carbon Robotics’ revolutionary, high-precision laserweeding leverages sophisticated AI technology to improve crop quality, provide safer working conditions for farmers, reduce overall costs associated with modern farming, and create sustainable paths to regenerative and organic farming. The company has received $72 million in funding to date. What’s it like working at Carbon Robotics? We are a no-nonsense team of passionate people with a bias for action. We know that our ability to execute on our ideas is what sets us apart. We do what we say we are going to do, externally and internally. We trust our people to act independently and make practical, real-world decisions.


AdTech • Cloud • Machine Learning • Mobile • Retail
Seattle
403 Employees

Moloco is a machine learning company. We provide performance solutions that help companies around the world increase the ROI of their digital strategies to accelerate growth. Today, we offer a performance marketing platform, optimized for mobile advertising, with our machine learning engine at its core. Moloco Cloud DSP uses customers’ own first-party data to exceed game and app publishers’ return on ad spend (ROAS) goals. Moloco Retail Media Platform enables online retailers and marketplaces to improve their merchants’ performance, grow sales, and realize new revenue opportunities through contextual recommendations and fully native advertising. Moloco was founded in 2013 by a team of former Google machine learning engineers. With headquarters in Redwood City, California, Moloco has nine offices across the US, UK, Korea, China, Japan, and Singapore.


Artificial Intelligence • Machine Learning • Mobile • Productivity • Software
Seattle, Washington, USA
350 Employees

Retool is a development platform for building business software. Users can visually design apps that interface with any database or API, and switch to code to customize how their apps look and work. With Retool, developers ship more apps and move their business forward—all in less time. Thousands of teams at companies like Amazon, DoorDash, Peloton, and Brex collaborate around custom-built Retool apps to solve internal workflows. We're just getting started and growing quickly—join us!


Artificial Intelligence • Big Data • Blockchain • Machine Learning • Software • NFT • Web3
Seattle, Washington, USA
15 Employees

Building intelligent apps that leverage AI is still way too hard, even for advanced developers. Our mission is to make this as easy as creating a modern web page. Spice AI provides the fastest, easiest, and smartest way to access and leverage web3 data. Designed for applications and machine learning, we remove the complexity of building and operating massive data infrastructure – enabling teams to create the next generation of data and AI-driven apps. The next generation of AI-driven applications will have a profoundly positive impact on the way we all live. Spice AI is enabling and accelerating their creation. From health and longevity to security for all, Spice-powered apps will enrich the lives of everyone, everywhere. If that resonates with you, join us!


Artificial Intelligence • Automotive • Machine Learning • Robotics • Transportation
Seattle, Washington, USA
2,500 Employees

Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Through our partnerships with General Motors and Honda, we are the only self-driving company with fully integrated manufacturing at scale, building all-electric, zero-emission, self-driving vehicles that will help save lives, reimagine cities, reduce carbon pollution, redefine time in transit, and restore freedom of movement for individuals who live in dense urban settings. Together, we believe our world-class partners, deep resources, and technology approach of testing in a complex urban environment will help to deliver self-driving vehicles at scale.


Computer Vision • Machine Learning • Other • Productivity • Software
110 Employees

We combine simple off-the-shelf 360° cameras, computer vision, and AI to make it incredibly easy to capture a complete visual record of a jobsite, share it via the cloud, and track progress remotely. Our customers have used the platform to capture over four billion square feet of active construction projects around the world. OpenSpace is based in San Francisco, California but employs a fully remote workforce.


HR Tech • Machine Learning • Productivity

With AI and microlearning technologies under the hood, Snack is the very first smart TaaS (Training as a Service) company providing an all-in-one, affordable, flexible, and on-demand mobile-oriented training experience to businesses.


Machine Learning
16 Employees

Uplevel elevates software engineers and their managers with data-driven insights from dev-specific tools so their teams are empowered to do their best work.


Artificial Intelligence • Machine Learning • Software
20 Employees

Jobscan is an AI-based web service that helps job seekers land more interviews with over 1 million users worldwide. Our job search optimization suite is used around the globe to power their resume, cover letter, and LinkedIn profile reviews.


Artificial Intelligence • Machine Learning • Security • Software
448 Employees

We are the global leader in Managed Detection and Response (MDR), keeps organizations safe from cyber attacks that technology alone cannot prevent. Our 24x7 Security Operations Center (SOC), staffed by elite security analysts, hunts, investigates, and responds in real-time to known and unknown threats before they become business disrupting events.


Machine Learning
Tacoma, Washington, USA

In 2013, at the 43rd Annual Innovation Awards, Globe received the prestigious recognition of "System Supplier of the Year"​ from the Society of Plastics Engineers. We are a manufacturer of industrial machines, systems and plants for advanced composites, building products, and pulp & paper.


Machine Learning • Mobile • Productivity • Software
5 Employees

We are redefining the modern industrial worker experience by bringing complex workflows to beautiful and intuitive mobile platforms, powered with Speech to Text and Natural Language Processing. The manufacturing floor is one of the world’s most essential value-creators, but today’s frontline industrial teams are “getting by” with software that is not designed for their workflows nor equipped to manage their critical tribal knowledge. We're tired of watching terrible enterprise software platforms drag down teams in manufacturing, so we founded Genba to change that.


Cloud • Machine Learning
53 Employees

CoreStack offers orchestration solution that accelerates multi-cloud adoption, optimizes consumption and enforces governance for businesses to maximize business agility and deliver predictable outcomes


Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Sports
Fully Remote, USA
2 Employees

SWEE is an early-stage startup that offers an IoT solution for automatically capturing individualized sports data and streaming the media to a player’s mobile device. The SWEE platform enables the recording, sharing and analysis of events, creating a highly-engaged network of players, coaches, and venues.


Artificial Intelligence • Fintech • Machine Learning • Software
8 Employees

Sigma IQ is the first enterprise-strength matching reconciliation engine built on Machine Learning. Created to launch new reconciliation use cases in less than a day, achieve a matching performance of 99%, be data-source agnostic (any data source or system) and provide complete logging for audit purposes, Sigma IQ will save you hundreds of hours.


Artificial Intelligence • Cloud • Information Technology • Machine Learning
70 Employees

Founded in 2009, we’re a global leader and developer of cloud-based information management solutions and compliance services. RecordPoint’s intelligent information management helps regulated companies and government agencies reduce risk, achieve greater operational efficiency, and drive collaboration and innovation. Our adaptable layer of intelligence offers complete insight and control over all in-place data, records, and content, enabling organizations to increase compliance and reduce costs. RecordPoint has offices in Seattle, Sydney, Melbourne, and London.


Artificial Intelligence • Big Data • Fintech • Machine Learning • Software
Seattle, Washington, USA
19 Employees

Attunely is a cloud-based, yield optimization platform for the delinquency stage in the credit ecosystem that uses machine learning to increase revenue recovery, thus improving outcomes for creditors, lowering risk in the credit ecosystem, and facilitating a better consumer experience.


Greentech • Machine Learning • Mobile • Social Media • Social Impact
13 Employees

Our goal is to build the future of living with plants. We've started by creating a delightful mobile app that helps people grow thriving plants. Our community has grown from 100 beta users in August 2020 to over 60,000 active users today. Plants have been watered with Greg over 3M times, and partners like The Sill and over 100 other retailers have started sharing Greg to help their customers care for newly-purchased plants.