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Find 20 competitors in the Data Science and Machine Learning Platforms. Compare other SaaS such as Antsomi, SureCost and elabnext.com. These Carbigdata competitors have raised $88.8M and together serve more than 2.2K customers and employ over 1.2K team members.
Data Science and Machine Learning Platforms
With the mission of transforming everyday businesses, Antsomi is a marketing technology company building the first artificial intelligence-enabled customer data platform, CDP 365, in Southeast Asia, empowering companies to unify and activate their customer data.
Data Science and Machine Learning Platforms
SureCost is The Smarter Purchasing Solution™ built by pharmacy experts to help pharmacies navigate an increasingly complex industry. Our robust purchasing and inventory software empowers pharmacy teams with the ability to analyze data from their entire vendor and wholesaler catalog and harness real-time insights to optimize workflows. With SureCost, our customers save more, stay compliant and work smarter.
Data Science and Machine Learning Platforms
eLabNext is dedicated to transforming laboratories worldwide with innovative digital solutions. We offer a comprehensive Digital Lab Platform (DLP), which integrates the Electronic Lab Notebook (ELN), Laboratory Information Management Systems (LIMS), machine learning, and AI. Our platform is designed to seamlessly integrate with your lab’s equipment and software, offering flexibility, security, and exceptional efficiency. By centralizing and optimizing all your research and process development workflows in a compliant environment, we empower researchers to focus on making ground-breaking discoveries. Our team of digital lab experts is here to support you throughout your digitalization journey. eLabNext is a brand of Bio-ITech BV, part of Eppendorf Group.
Data Science and Machine Learning Platforms
Our team is comprised of eCommerce and analytics experts from a variety of brand and agency backgrounds. Founded in 2017, Elevar is the leading analytics and tracking platform built exclusively to help ensure direct-to-consumer brands on Shopify have a data foundation they can trust and scale with. As an official Shopify Plus and Facebook Marketing Partner, we bridge the gap between marketers and engineers with some of the fastest growing brands. Chances are if there is a problem you’re trying to solve with your own analytics and marketing tags we’ve fixed it. Learn more about us: https://www.getelevar.com/
Data Science and Machine Learning Platforms
Our team is comprised of eCommerce and analytics experts from a variety of brand and agency backgrounds. Founded in 2017, Elevar is the leading analytics and tracking platform built exclusively to help ensure direct-to-consumer brands on Shopify have a data foundation they can trust and scale with. As an official Shopify Plus and Facebook Marketing Partner, we bridge the gap between marketers and engineers with some of the fastest growing brands. Chances are if there is a problem you’re trying to solve with your own analytics and marketing tags we’ve fixed it. Learn more about us: https://www.getelevar.com/
Data Science and Machine Learning Platforms
With the mission of transforming everyday businesses, Antsomi is a marketing technology company building the first artificial intelligence-enabled customer data platform, CDP 365, in Southeast Asia, empowering companies to unify and activate their customer data.
Data Science and Machine Learning Platforms
eLabNext is dedicated to transforming laboratories worldwide with innovative digital solutions. We offer a comprehensive Digital Lab Platform (DLP), which integrates the Electronic Lab Notebook (ELN), Laboratory Information Management Systems (LIMS), machine learning, and AI. Our platform is designed to seamlessly integrate with your lab’s equipment and software, offering flexibility, security, and exceptional efficiency. By centralizing and optimizing all your research and process development workflows in a compliant environment, we empower researchers to focus on making ground-breaking discoveries. Our team of digital lab experts is here to support you throughout your digitalization journey. eLabNext is a brand of Bio-ITech BV, part of Eppendorf Group.
Data Science and Machine Learning Platforms
We work toward an understandable and responsible AI for business, for ensures the freedom to access the data you need, exactly when you need it - [email protected] Deda Ai is a Deda Group company
Data Science and Machine Learning Platforms
SureCost is The Smarter Purchasing Solution™ built by pharmacy experts to help pharmacies navigate an increasingly complex industry. Our robust purchasing and inventory software empowers pharmacy teams with the ability to analyze data from their entire vendor and wholesaler catalog and harness real-time insights to optimize workflows. With SureCost, our customers save more, stay compliant and work smarter.
Data Science and Machine Learning Platforms
With the mission of transforming everyday businesses, Antsomi is a marketing technology company building the first artificial intelligence-enabled customer data platform, CDP 365, in Southeast Asia, empowering companies to unify and activate their customer data.
Data Science and Machine Learning Platforms
We work toward an understandable and responsible AI for business, for ensures the freedom to access the data you need, exactly when you need it - [email protected] Deda Ai is a Deda Group company
Data Science and Machine Learning Platforms
InContext Solutions is the global leader in enterprise mixed reality (MR) solutions for total retail optimization and shopper engagement. In a time when tech-savvy consumers are driving retail innovation, we have revolutionized the way companies understand shopper behavior and bring their new ideas to life. Founded in 2009, we provide a unique, in-depth perspective on what consumers see on the shelf, how this impacts their purchase behavior, and why. Our virtual solutions are powered by ShopperMX™, an enterprise simulation, collaboration, and decision-support platform for retail merchandising. InContext takes an holistic approach to brand and retail challenges, and provides the solutions and insights needed to make faster, smarter, more profitable business decisions.
Data Science and Machine Learning Platforms
Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there? ______ The Company Kili began as an idea in 2018. Edouard d’Archimbaud, our co-founder and CTO, was working at BNP Paribas, where he built one of the most advanced AI Labs in Europe from scratch. François-Xavier Leduc, our co-founder and CEO, knew how to take a powerful insight and build a company around it.While all the AI hype was on the models, they focused on helping people understand what was truly important: the data. Together, they founded Kili Technology to ensure data was no longer a barrier to good AI.By July 2020, the Kili Technology platform was live and by the end of the year, the first customers had renewed their contract, and the pipeline was full. In 2021, Kili Technology raised over $30M from Serena, Headline and Balderton. Today Kili Technology continues its journey to enable businesses around the world to build trustworthy AI with high-quality data.
Data Science and Machine Learning Platforms
Build high-quality datasets, fast. Enterprises trust us to streamline their data labeling ops and build the best datasets for their custom models, generative AI, and LLMs ___ Why Kili Technology? You might not know this, but: MNIST’s dataset has an error rate of 3.4% and is still cited by more than 38,000 papers. The ImageNet dataset, with its crowdsourced labels, has an error rate of 6%. This dataset arguably underpins the most popular image recognition systems developed by Google and Facebook. Systemic error in these datasets has real-world consequences. Models trained on error-containing data are forced to learn those errors, leading to false predictions or a need of retraining on ever-increasing amounts of data to “wash out” the errors. Every industry has begun to understand the transformative potential of AI and invest. But the revolution of ML transformers and relentless focus on ML model optimization is reaching the point of diminishing returns. What else is there? ______ The Company Kili began as an idea in 2018. Edouard d’Archimbaud, our co-founder and CTO, was working at BNP Paribas, where he built one of the most advanced AI Labs in Europe from scratch. François-Xavier Leduc, our co-founder and CEO, knew how to take a powerful insight and build a company around it.While all the AI hype was on the models, they focused on helping people understand what was truly important: the data. Together, they founded Kili Technology to ensure data was no longer a barrier to good AI.By July 2020, the Kili Technology platform was live and by the end of the year, the first customers had renewed their contract, and the pipeline was full. In 2021, Kili Technology raised over $30M from Serena, Headline and Balderton. Today Kili Technology continues its journey to enable businesses around the world to build trustworthy AI with high-quality data.
Data Science and Machine Learning Platforms
Procure-to-pay software for proactive spend management. Fraxion is the trusted software choice for mid-size companies worldwide, offering automation solutions for purchasing, expense, and accounts payable processes with advanced spend analytics. Fraxion’s procure-to-pay solution provides complete visibility, digital workflows, and proactive controls, making it the go-to solution for organizations seeking procurement efficiency and spend control. Fraxion actively manages over $16 billion of spend per annum at over 1,000 organizations, with more than 200,000 users. With Fraxion, you can drive accountable, policy-compliant spending company-wide and attain audit transparency via centralized digital records. Initiate time savings and operational cost reductions by adopting Fraxion's easy, mobile, and integration-ready procure-to-pay solution.
Data Science and Machine Learning Platforms
MapLarge's online mapping software and interactive dashboards make it easy to visualize and analyze big data.
Data Science and Machine Learning Platforms
B2B Data-driven industrial platform, generates Circular Economy Solutions for brands & manufacturers across the globe.
Data Science and Machine Learning Platforms
LiveFlow is a Finance and Accounting automation platform that automates manual work for CFOs & Finance Teams. It provides a platform that allows companies to sync real-time data from their accounting services, banks, and payment platforms into their custom reports.
Data Science and Machine Learning Platforms
B2B Data-driven industrial platform, generates Circular Economy Solutions for brands & manufacturers across the globe.
Data Science and Machine Learning Platforms
Developer of robot control system designed for complex assembly tasks. The company's robots perform movements that react to minute changes in the environment, as perceived by the robot with cameras or force sensors, and are trained through demonstration, correction and repetition, enabling users to create skills without writing a single line of code or modelling the problem.
