Home General Top 10 Most Innovative Machine Learning Companies

Top 10 Most Innovative Machine Learning Companies

In its May-June edition, Analytics Insight Magazine acknowledged the fact that machine learning is undeniably among the most exciting and revolutionary technologies of this generation.

Companies are currently leveraging machine learning in numerous ways, even though all of them assist in making business functions more efficient and effective.

A recent report from TIBCO revealed that many companies integrate machine learning into their operations, specifically for personalized dashboards and visualizations, real-time analytics, revenue, and sales forecasting, data integration, and data security.

The following are 10 of the most innovative Machine learning companies:


Mezanine is using machine learning across all enterprises and industries through delivering a single point automated orchestration and integration of the existing pre-trained ML models drawn from artificial intelligence leaders such as Microsoft Azure, AWS, IBM Watson, and Google Cloud.

It allows enterprises to gain access to various models that are ideal for meeting their requirements from distinct platforms.

National Injection Services

Analytics Insight Magazine highlighted in an interview from National Injection Services (NIS), a tech-based consultancy IT and engineering company that aims to integrate artificial intelligence, machine learning and big data with Industrial IoT systems.

It helps in solving the toughest problems associated with cloud and big data.

MORE: World’s Top 25 Artificial Intelligence Companies


AlgoFace is currently in the incubation process as a member of the Algomus, Inc., known for building AlgoTM – a platform for machine and human collaboration.

It helps in analyzing, tracking, and mapping the human face in a bid to integrate immersive augmented reality (AR) user experiences across different platforms.


Brodmann17 provides a software-only perception tech for Automated Driving and ADAS that is hardware-agnostic and pure software, enabling automakers and suppliers to integrate any processor with any visual sensor, mainly across the L1-L4 automation range.


CredoLab creates bank-grade artificial intelligence-driven scorecards, particularly for the BFSI sector.

AI-powered and developed on mobile device data, the machine learning (ML) algorithm generates customized and secure scorecards that are created on the data of the credit outcome.


CyberInt provides an artificial intelligence-based threat-centric platform that offers protection for all online operations of leading global entities by utilizing automated ML expertise, primarily in cyber intelligence fine-tuned by human analysts for maximum effectiveness.

Dynamic Yield

The company’s complex machine learning (ML) engine creates actionable and real-time customer segments, allowing marketers to boost revenue through recommendations, personalization, and others.

HEALTH [at] SCALE Technologies

The company allows revolutionary improvements in healthcare satisfaction, costs, and outcomes through sophisticated machine intelligence, mainly for care prediction in a bid to match each patient with the suitable treatment, as well as with the appropriate provider at the ideal time.


The company is known for developing AI solutions in retail, automotive, FinTech and other areas by leveraging machine learning and computer vision algorithms for chatbot services, predictive analytics, data-driven decisions, and object recognition.


This MediaTech leader, distinctive video advertising operator, and nonstop innovator has integrated advanced DataTech, AdTech, and MediaTech simultaneously.

Machine learning (ML) has proven to be among the most ground-breaking technologies in recent times with increasing practical application across the economy.

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KC Cheung
KC Cheung has over 18 years experience in the technology industry including media, payments, and software and has a keen interest in artificial intelligence, machine learning, deep learning, neural networks and its applications in business. Over the years he has worked with some of the leading technology companies, building and growing dynamic teams in a fast moving international environment.
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