From redefining management by evaluating job candidates on innate and emerging strengths by removing conscious and unconscious biases from hiring decisions as eightfold.ai does today to providing a self-service AI platform that is always learning from analytics as Anodot does, machine learning startups are fascinating to track. International Data Corporation (IDC) forecasts that spending on AI and ML will grow from $12B in 2017 to $57.6B by 2021, attaining a 48% Compound Annual Growth Rate (CAGR). Please see the latest roundup of machine learning forecasts and market estimates, 2018 for more market data on machine learning’s exponential growth.
“AI will be a true differentiator for companies in the future. The companies that have mastered it will take off, those who haven’t will dwindle (just like companies choosing to embrace software and the internet early on),” Scott Stephenson, founder, and CEO of Deepgram, an automatic speech recognition company, told Crunchbase News in an email.
Machine learning startups are another source of patents Alphabet, IBM, Intel, GE, Google, Microsoft, Philips, Qualcomm, Samsung, Siemens, Sony, and others monitor continually. The following list of 25 machine learning startups are based on an analysis of their ability to attract new customers, current and projected revenue growth, patents’ current value and potential, and position in their chosen markets.
Co-Founder and CTO of Skyline AI, an artificial intelligence company in the commercial real estate industry, believe that we’ve reached a renaissance age in AI.
We considered companies in “artificial intelligence, machine learning” and adjacent categories. Included in the list are active startups that have raised at least one venture capital round since January 1, 2016. The list includes companies that are working specifically on artificial intelligence and machine learning technologies. The startups are ranked based on known total funds raised.
SenseTime is an early-stage artificial intelligence company that focuses on innovative computer vision and deep learning technologies, founded by Bing Xu, Li Xu, Xiaogang Wang and Xiaolan Xu in October 2014. SenseTime has raised a total of $ 2.6 billion USD in funding over 7 rounds. Their latest and most successful funding was in September 2018 with a $ 1 billion investment by investor SB China Capital. Their venture specializes in developing stage of the art face recognition technology powered by machine learning, deep learning, and computer vision.
Determined AI is an early-stage startup at the forefront of machine learning technology, founded by Ameet Talwalkar, Evan Sparks and Neil Conway on June 2017. They reduce time-to-market by increasing developer productivity, improving resource (GPU) utilization, and reducing risk. Their group recently nabbed $ 11 million USD in Series A funding led by Google Ventures to accelerate and democratize AI development.
Cerego is an adaptive learning platform that uses artificial intelligence and machine learning to scale proven cognitive science and make learning possible for anyone. The proprietary learning engine at the heart of the platform continuously adapts and enhances the learning experience to meet every individual's needs, while predictive analytics deliver actionable data to educators and managers. By improving the learning experience, Cerego aims to unlock the promise of education and training, ultimately helping people reach their full potential.
Petuum, a spin-off of the Machine Learning Department at Carnegie Mellon University, led by CEO and Chief Scientist Eric Xing has over $108 million in investor funding led by SoftBank, Petuum is one of the highest-funded Artificial Intelligence and Machine Learning startups. Their mission is to industrialize AI and transform every enterprise into builders, owners, and informed users of AI. Petuum was named as a 2018 Technology Pioneer by the World Economic Forum.
Dataiku designed and launched its Data Science Studio platform with the goal of aggregating the process steps needed to transform raw data into data-driven applications that are easy to maintain. The Studios’ workspace is designed to be intuitive, interactive and capable of shortening load-prepare-test-deploy cycles required to create data-driven Dataiku raised a total of $45.7M in funding over four rounds. The latest funding came from a Series B round on Sep 6, 2017, from Battery Ventures.
Anodot capitalizes on the innate strengths of machine learning by continually looking for patterns using constraint-based modeling across the diverse data sets businesses are relying on to operate daily. Similar to many machine learning startups that capitalize on the technology’s ability to learn continually, Anodot’s AI platform looks to eliminate blind spots in data and quantify root-causes in diverse data sets. Anodot has approximately 100 customers including Microsoft, Lyft, Waze, Pandora, AppNexus, Wix, and Anodot raised a total of $27.5M in funding over four rounds. The latest funding came from a Series B round on Dec 19, 2017, from Redline Capital. The following screen from their app is an example of how Anodot provides real-time anomaly detection.
Ablacon is a fascinating startup that has built a premier machine intelligence system to quantitatively and qualitatively understand and treat atrial fibrillation (AF). Their technology visualizes in real-time what is going on in the heart. They compute the electrographic flow, which allows the treatment of atrial fibrillation faster, more precisely, and more reliably. Ablacon has raised a total of $21.5M in funding over 1 round. This was a Series A round raised on Apr 30, 2019, with Ajax Health.
Towards AI, is the world’s fastest-growing AI community for learning, programming, and building AI products. By bringing together a global network of nearly a quarter of a million innovators and hundreds of technology partners, Towards AI hopes to facilitate the creation of AI solutions that make today’s world a smarter, healthier place and support the livelihood of tomorrow’s generation. SoftBank Vision Fund and other venture capital firms are currently in conversations as to lead their seed round.
Daisy Intelligence is a focused AI software-as-a-service company for retail that transforms transaction log (TLOG) data into weekly promotion, pricing, and inventory forecasting recommendations. Daisy Intelligence is using reinforcement learning to help retailers select the right products for its promotions and advertisements. Last year, Daisy Intelligence won $5-million at the ElevateR pitch competition and it is on the way to transform the way retailers see the relationships between products to drive higher-margin products.
Applying machine learning to endpoint detection of IT network threats is how CrowdStrike is differentiating itself in the rapidly growing cybersecurity market arena today. Their Falcon platform stops breaches by detecting all attack types, even malware-free intrusions, providing five-second visibility across all current and past endpoint activity while reducing cost and complexity for customers. CrowdStrike’s Threat Graph provides real-time analysis of data from endpoint events across the global crowdsourcing community, allowing detection and prevention of attacks based on patented behavioral pattern recognition technology. CrowdStrike has raised a total of $481M in funding over six rounds. Their latest funding was raised on Jun 19, 2018, from a Series E round. Accel, General Atlantic, IVP (Institutional Venture Partners) are the lead investors in the latest round.
PwC / CB Insights MoneyTree Report Q2 2018 (PDF, 75 pp., no opt-in)