Neuro MLOps

TALENT
150+ Published Papers in ML/DL
ML Published papers 150 ACL annual meeting kaggle python

COMPANY PROFILE

by 5x
Increase ML Team Productivity
by 50%
Decrease AI Development time
On-Prem, Cloud
Single Development Environment

Neuro Inc. is a technology company using state-of-the-art Machine Learning (ML) and Deep Learning (DL) to solve real-world problems for business and science.

Neuro enables enterprise AI Transformation with custom solutions and advisory services for global consumer products manufacturers, enterprise software companies, regional cloud services providers, telecoms, healthcare companies, government entities and more.

The Neuro team consists of PhD-level AI researchers with over 150 published scientific papers and awards from major ML/DL conferences, and full-stack software engineers with deep experience solving MLOps.

Named a Gartner Cool Vendor in AI Core Technologies in 2019, Neuro has executed successful engagements with leading enterprises across North America, EMEA, CIS, China, and Japan.

TECH
nvidia logo microsoft logo aws logo google cloud logo
EXPERIENCE
panasonic embl logo massachusetts institute of technology revenue grid megafon logo samsung logo

THE NEURO PLATFORM

The core product of the company is the Neuro MLOps Platform for full-cycle ML/DL application development and deployment on public, hybrid, and on-premise clouds. 

Over many years of engagements developing innovative AI solutions for a range of enterprise clients, Neuro gained first-hand exposure to the challenges involved in building and maintaining the infrastructure and tooling needed to build, deploy and scale AI solutions. This AI infrastructure is now known as: MLOps.

“We believe that building and deploying ML models should be as easy, fast and safe as Software Engineering is with DevOps.”

-MLOps.community

The Neuro platform enables users to automate ML pipelines from data collection through preparation, training, testing and deployment. With Neuro, the steps of packaging, scaling, tuning, instrumentation, and continuous delivery can all be fully automated, addressing the two main challenges of every organization: time to market and resource management.