From a very limited use in the business world before 2012, the reliance on data science has grown exponentially since the boom. Today, according to Crunchbase, there are over 9,000 data science startups and companies. These are the top data science startups looking to shine in 2022.
Algorithmic: Algorithmic's expertise lies in Machine Learning Operations (Flops), helping clients bring ML models into production with business-level security and governance. Algorithmic automates ML implementation, provides tool flexibility, enables collaboration between operations and development, and leverages existing SDLC and CI/CD practices. To date, more than 110,000 engineers and data scientists have used Algorithmic's platform, including the United Nations, government intelligence agencies, and Fortune 500 companies.
Agora: Agora is known for its augmented analytics platform that makes in-depth data analysis intuitive and as easy as searching the web. The company's unique technology hides the complexity and allows non-technical users to easily run and share their reports. By removing the limitations of existing analytics, reducing data prep and discovery time by 5080%, and accelerating time to insight, Agora leverages ML to accelerate business decision-making. With headquarters in London and offices in New York and Romania, Agora helps accelerate decision-making and productivity for clients across diverse industries and markets including retail, financial services, advertising, supply chain, and media and entertainment.
Coining : Coining is a London-based startup specializing with many years of experience in self-learning explainable, they are remarkable to help their clients accelerate the data preparation for the performance of large unstructured records to support strategic decisions through real learning. Exceed.tracks each lead and quickly qualifies them through automated two-way conversations with natural language leads via chat and email. Demonstrations with potential customers.
Indigo: Indigo is a Boston-based startup dedicated to solving the daunting challenge of how businesses rely on unstructured content but lack the frameworks, systems, and tools to effectively manage it. Automation of administrative tasks. Indigo is notable for its track record of helping organizations automate manual, labor-intensive, document-based workflows. Her breakthrough in solving these challenges is an approach called transfer learning, which allows users to train machine learning models with orders of magnitude less data than traditional rules-based techniques would require. Indigo enables organizations to more effectively implement AI into unstructured content challenges while removing many common barriers to AI and ML adoption.
Petra: Petra is a Boston-based start-up that began as part of MIT's CSA IL research and currently has multiple issued and pending patents for its technology. Petra features advanced scanning of video images and interpretation of text metadata, ensuring security and contextual awareness. Petra's proprietary AI technology analyzes videos in real-time for contextual references to unsafe content, including deepfakes and potential cybersecurity threats.
Particle – Particle is an end-to-end IoT platform that combines software including AI, hardware and connectivity to provide a wide range of organizations, from startups to enterprises, with the framework they need for the successful introduction of IoT systems and networks. Particle customers include Jacuzzi, Continental Tires, Waco, Shifted Energy, Anderson EV, Optic and others. The particle is venture capital funded and has offices in San Francisco, Shenzhen, Las Vegas, Minn.
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