10 Machine Learning Companies to Watch in 2019

10 Machine Learning Companies to Watch in 2019

Top 10 Innovative Machine Learning companies to Watch in 2019 are

1. Dynamic Yield

Designed from the very beginning to be open and flexible, Dynamic Yield combines the strength of a unified repository for data with the tools to activate personalized interactions across web, apps, and email. A true end-to-end platform, its emergence in the market has replaced the fragmented experiences of siloed systems with a cohesive and relevant customer journey.

Dynamic Yield’s unique personalization technology was born out of the frustration felt by marketers with vendor bloat from point solutions and its detrimental impact on delivering consistent customer experiences.

2. HEALTH[at]SCALE

HEALTH[at]SCALE was founded in 2015 to solve the problem of bringing precision delivery to precision medicine.

HEALTH[at]SCALE’s platform and applications integrate fundamental advances in artificial intelligence and machine learning for deeply personalized prediction using information in often noisy, fragmented and longitudinally-evolving healthcare datasets. From addressing data quality issues, to learning highly accurate models capable of dealing with complex multi-factorial data, to scalable and secure software-as-a-service (SaaS) applications that can be hosted on-premise or in the public cloud to deliver predictive precision recommendations at points of care, our solutions are designed from the ground up for maximum operational healthcare impact.

Our specialized machine intelligence technologies have been demonstrated in prospective studies with leading payers and providers to significantly improve outcomes and costs. Use of the company’s platform and applications is rapidly growing, with the company’s solutions among the largest deployments to date of machine learning for healthcare, helping payers and providers manage tens of millions of individuals in live production settings.

3. National Injection Service

We provide unique solution to the toughest challenges related to Big Data & Cloud. Our privilege is to help clients maintaining their infrastructure and to guide them migrating to the cloud by leveraging the use of latest technologies in the market to dive deep into the world of digital transformation. From Machine Learning & Predictive Analytics to Effective Collaboration and communication, our aim is to develop the next generation of the Enterprise that mitigates its spending and enhances its ROI.

4. OneAD

OneAd is committed to big data technology, media technology and advertising technology, and create intelligent advertising media that iteratively develops. We continue to grasp the fast-changing consumer profiles, behaviors and processes on the Internet, and help brand owners complete the communication tasks of optimizing audio and video advertising.

5. CyberInt

CyberInt offer a sophisticated, intelligent solution to the emerging trend of cyber threats being faced by businesses in the online space. Today this threat is even more prevalent in the face of accelerated digital transformation where, more than ever, businesses vulnerable to far greater risks and threats within and beyond their perimeters.

CyberInt’s holistic, end-to-end MDR service spans the globe, serving some of the top retail, e-commerce, finance and telecommunications organizations in the world. Using advanced research and simulation of attacks from the threat actor’s perspective, CyberInt provides highly automated real time responses and powerful, validated alerts.

6. Mezzanine.ai

Mezzanine.ai brings together single point integration and automated orchestration of readily available pre-trained machine learning models from AI industry leaders including Google Cloud, IBM Watson, AWS and Microsoft Azure.

It is a SaaS hosted platform incorporating a comprehensive custom developed application integration library. These integrations provide the foundation for secure synchronizations between business applications and their associated data, both hosted or on-premises as well as a curated library of readily available pre-trained machine learning models, allowing companies to instantly leverage the power of machine learning.

7. Algoface

AlgoFace is exclusively committed to developing and deploying AI-AR technology for human faces that will power the next generation of consumer experience.

Services provided by Algoface

a. Facial Landmark Tracking

Our Facial Landmark Tracking SDK detects and tracks the natural movement of human face in a live on device camera feed accurately and robustly. It tracks 84 facial land mark points in real time. Accurate detection and robust tracking of facial details includes the corners of the eyes, the tip of the nose, the arch of the eyebrows, and the forehead and enables our business customers to personalize their augmented reality (AR) applications and workflows for human faces. The SDK is available for web, mobile and embedded applications.

b. Virtual Makeup Try-on

AlgoFace Virtual Makeup Try-on enables a highly immersive AR experience for cosmetics shoppers.

You can virtually try make-up products in a live AR enhanced on device camera feed before you buy it online or in the store. Our technology allows consumers to test cosmetic products one at a time or a full suggested look.

Our virtual makeup try-on technology has built-in robustness against illumination and fidelity for different skin tones.

c. Face Attributes Analyzer

Our Facial Attribute Analyzer SDK is built to accurately classify human face fine features.

It provides detailed classification for 20 different facial traits such as age, gender, ethnicity, skin tone, hair color, size and shape of the face, eyes, nose, lips, and many more.

Tailored version of this SDK is available upon request to cover new facial traits or to increase the resolution for certain features.

8. Intellias

Intellias is a custom software engineering company with a specific focus on automotive, location-based services, and financial technology industries. The company is based in Ukraine (with offices in Kyiv, Lviv, Odesa, Kharkiv, and Ivano-Frankivsk) and locally represented in Berlin and Krakow. Intellias keeps a flat, flexible, and transparent structure, which allows us to scale on the client’s demand quickly and still give each of them this personal touch from our C-Level no matter of size.

9. Brodmann17

Brodmann17 delivers the world’s most efficient deep neural network algorithms, which can finally bring computer vision applications to the mainstream.

If you are passionate about the forefront of artificial intelligence, deep learning and computer vision, we are constantly looking for like-minded algorithm developers to join the team.

10. Credolab

CredoLab develops bank-grade digital scorecards for banks, consumer finance companies, auto lenders, online and mobile lenders, insurance companies, and retailers. Built on mobile device data and powered by AI, our machine learning algorithm yields secure and customised scorecards developed on your credit outcome data, boosting your Gini coefficient.

Stay Tuned for more updates on Artificial Intelligence. 

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