MLOps Platform and services from experienced ML experts
MLOPS INTRO
Products
Out of the box Neu.ro spins up a full-fledged ML development environment with all the tools you need at your fingertips.
Neu.ro provides management of the infrastructure and processes for successful ML development at scale. Our team seamlessly stitches your on-prem and cloud resources, deploys pipelines, integrates your open-source and commercial development tools.
Industry reports attest that 80%+ of data science projects never make it into production while consuming far more resources and time than originally anticipated. A sound MLOps process and implementation addresses this challenge by combining AI/ML practices with DevOps to create continuous development and delivery (CI/CD) of data and ML functionality that controls the costs and de-risks delivery.
MLOps
SOLUTIONS
It’s a crying shame that data scientists today spend so little of their time doing data science. The reality is that teams spend most of their day on data wrangling, data preparation, handling software packages and frameworks, configuring infrastructure, and integrating various components. Neu.ro solves this – it’s like having an experienced MLOps team in-house to shave months off of your development schedule.
With Neu.ro you will never have a “just read the manual” moment. Neu.ro is a managed service. This means constant support, and leaving nothing to chance. When your organization needs a new tool or methodology, we are there to operationalize it. We help you maintain every step of your ML development pipeline.
Thank you for your consideration of the Neu.ro platform as a solution for your team’s MLOps. This Discovery Questionnaire allows our teams to quickly and thoroughly assess the value of the Neu.ro platform for your projects and tailor our offering to your specific requirements.
This survey starts with introductory questions, then covers three major components of the ML project lifecycle (Data, Model, Deploy), and concludes with some general organizational questions. It should require less than 20 minutes of your time.
Fill out MLOps survey now!Insights
Case studies
A San Francisco-based AI infrastructure company needed robust MLOps to unblock scaling of their synthetic data platform.
An AI-centric CRM company sought to unblock production scaling of their NLP pipelines for email integration, automated sequencing and guided selling.
A leading telecom company needed a complete AI/ML development environment deployed within their existing cloud infrastructure. They got it within 2 months.
The European Microbiology Laboratory advanced traditional microbiology research methods with state-of-the-art Deep Learning.
A retail giant sought an industry-leading Computer Vision application sufficiently robust to support it’s global scale.
Japan’s leading medical supplies company sought to automate their supply chain with state-of-the-art Computer Vision.
Expert talks
