10 Later-stage Startups Join the Seattle Machine Learning and Data Science Accelerator
Our Seattle Accelerator’s third batch taught us a thing or two about the machine learning and data science space. Now, as we kick-off our fourth batch, we’re excited to put those learnings and insights to use to help the next generation of machine learning and data science startups.
Over the past four months, we’ve traveled North America, talked to more than a dozen VCs and investors, sifted through hundreds of applications, and consulted our mentors and startup alumni in search of high-caliber, mature startups that are ready to scale up their businesses through enterprise customer access. As a result of these efforts, we’ve selected 10 later-stage startups to join our Machine Learning Accelerator in Seattle.
Collectively, the chosen startups have received $5.3M in average funding with $3M average annual recurring revenue. Spanning several verticals, including—but not limited to—manufacturing, healthcare, career recruitment, and social media, the companies leverage the power of data science, machine learning, analytics, and enterprise IoT to deliver their respective solutions.
To help these startups scale their businesses, we’re partnering with the Azure Machine Learning team and Microsoft Sales teams to provide a comprehensive set of offerings, including mentorship, access to technology, customer introductions and more. Time and again our startup alumni tell us the unprecedented individualized coaching they receive via our partner network has been critical to their success.
Microsoft’s Seattle Accelerator cohort will have the opportunity to work on storytelling with published author and Forbes contributor Rob Salkowitz; learn about the keys to customer success from Guy Nirpaz, published author and CEO of Totango; and develop other essential aspects of their businesses alongside a former HR executive at Madrona. We’ve also partnered with the Sprosty Network and their RetailXelerator program to coach the cohort and connect them directly to key customers and retail channels via a portfolio day. Plus, Frog Design will host a UX Bootcamp workshop, and Virtuozo—the same firm that coaches TED speakers—will provide pitch training.
We’re looking forward to diving even deeper into this ever-growing technology space together with our new cohort as they continue shaping the future of machine learning. Without further ado, Microsoft’s Seattle Accelerator is pleased to announce its batch 4 startups!
Cycle Computing is the leader in Big Compute and Cloud HPC management software, accelerating innovation by delivering faster time to result for workloads of any scale.cyclecomputing.com | @cyclecomputing
DataRPM delivers industry’s only Cognitive Predictive Maintenance and analytics platform for the Industrial IoT (Manufacturing, Automotive, Transportation, Energy).datarpm.com |@DataRPM
Datometry accelerates the adoption of cloud databases by delivering a powerful solution that enables deploying applications natively without the need for rewriting or redesign.datometry.com | @datometry
KenSci is helping fight death with data science. A Risk Management Platform for Healthcare, KenSci is built by doctors and data scientists and predicts who might get sick, how sick might they get and what could be the most effective way to care for them.kensci.com | @KenSci
LoginRadius provides Customer Identity and Access management for SME serving 150,000 mobile apps and 400 million online users.loginradius.com | @LoginRadius
Metric Insights’ patented Push Intelligence Platform tracks metrics from BI Tools, Big Data and SaaS Applications, uncovers anomalies and notifies users of significant changes in data that requires their attention.metricinsights.com | @MetricInsights
Pymetrics is a neuroscience-based recruitment and internal mobility platform that matches candidates with compatible careers.pymetrics.com | @pymetrics
Shareablee provides social media measurement and analytics for over 200 brands, publishers and agencies to drive social ROI.shareablee.com | @Shareablee
Tvision Insights uses computer vision technology to passively measure audience attention, emotional reactions and supply it to advertisers, agencies and television networks.tvisioninsights.com | @TVisionInsights
Versium delivers predictive marketing using consumer and proprietary data assets.versium.com | @versiumsocial
Want to hear what batch 3 had to say about our Seattle Accelerator program? Check out the mashup from our last machine learning cohort!