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Machine Learning is cool. Metis Machine actually gets it into your products.

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Its not just Build vs. Buy

Better orchestration of machine learning

We understand the temptation to build your own ML pipeline. But having familiarity with the tools of ML is not the same as having the expertise to manage, scale, and monitor them for business level needs and responsiveness. Buying a black box or ‘auto’ data science solution rarely makes sense, as you need to understand what powers your business. Skafos offers a better way; orchestration of the tools you already use (your data sources, code, preferred frameworks, etc.), speeding up the time to market, providing the required monitoring, and easily scaling your ML pipelines. Don’t spend 6-12 months reinventing the ML-wheel.

 

The hidden cost of running Machine Learning

You’ve hired a team of data scientists. They have models ready to go. But the time it takes to get the right infrastructure in place has introduced unexpected delays and costs. Skafos machine learning platform orchestrates the infrastructure, like Spark or storage, that your data science and engineering teams need, at a flat price. Our platform intelligently manages resources, only provisioning them when needed. Eliminate the costs of idle infrastructure and the most common delays for getting ML into production.

Delivery means realizing your model's full value.

Data Scientist

Deliver Machine Learning with confidence.

DevOps/IT

Break Down Barriers

There is an emerging machine learning operations lifecycle. To effectively serve data scientists as they bring their insights to life, we provide the platform that facilitates maximum collaboration and cooperation between data scientists, engineers, and business analysts.

Optimize Speed to Market

Data scientists succeed when they provide an optimal return on investment and gain data insights instantaneously. It’s imperative that data scientists have access to production scale cloud-based infrastructure and optimize their speed to market in every way possible.

Deliver Real-Time Insights

Data science must be a real-time endeavor to achieve its full potential, and as such our platform delivers real-time insights through live job monitoring and alerts, to ensure our customers have the maximum confidence & visibility when implementing their data science initiatives.

Many of us who work in software know the panic on the other end of that 3am wake-up call: a production system is down. If you don’t know that feeling, just ask your DevOps or IT guy and watch them sweat. When different micro-services work together to deliver a product, things break. This contrasts with how Data Scientists …
by Tyler Hutcherson
At Metis Machine we build machine learning systems. These systems tend to be distributed in nature and require more data than you might imagine. Occasionally, the partitions the data lives on become unavailable for different reasons; third party router drops, software upgrades, etc. Therefore, consistency must be maintained …
by Jeremy Tregunna

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