Serverless AI Partner

Serverless AI Partner

Produvia is a serverless machine learning development service. Partner with Produvia to develop and deploy machine models using serverless cloud infrastructure.

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Clients

Clients

Fortune 500 companies and Global 500 enterprises partner with Produvia develop and deploy machine learning models using modern cloud infrastructure.

Benefits

At Produvia, we use state-of-the-art methods in machine learning and deep learning technologies to solve business problems.

Spend Less

Spend Less

Organizations overspend on infrastructure costs. Modern organizations use serverless architectures to reduce server costs.

Be More Productive

Be More Productive

Organizations are held back by complex servers and legacy code. Modern organizations use machine learning technologies to rewrite technology stacks.

Innovate Faster

Innovate Faster

Companies hire software developers to write code. Modern companies use machine learning to develop software that writes code.

Build Business Resilience

Build Business Resilience

Organizations struggle to cope with COVID-19. Modern organizations use machine learning to develop scalable and low-cost solutions in response to COVID-19.

Automate More

Automate More

Companies want to automate tedious, repetitive, and boring tasks. Modern organizations collect data and apply machine learning technologies to automate everything.

What People Say About Serverless

Fortune 500 companies and Global 500 enterprises use Produvia to hire machine learning researchers and engineers.

Serverless is one of the hottest design patterns in the cloud today, allowing you to focus on building and innovating, rather than worrying about the heavy lifting of server and OS operations.

Author avatarGeorge Mao, Head of WW Solutions Architecture, Serverless Computing at AWS

If we end up in a situation where we need to cobble together several tools and services to build and manage serverless applications, something has gone wrong. Serverless is about simplifying software, by radically reducing its complexity.

Author avatarAusten Collins, Founder, CEO at Serverless Inc.

While the cost benefits are the most easily expressed improvements with serverless, it’s this reduction in lead time that makes me most excited. It can enable a product development mindset of continuous experimentation, and that is a true revolution for how we deliver software in companies.

Author avatarMike Roberts, Partner/Co-Founder at Symphonia

Technologies we use

Here are a list of technologies we use

Libraries, Frameworks, Tools

Libraries, Frameworks, Tools

The Produvia team has extensive experience in working with computer vision, natural language processing, methodology, speech, graphs, games, time series, audio, robots, music, computer code, reasoning, knowledge bases, and adversarial technologies. Our programming languages of choice are Python and JavaScript. Where possible, we leverage open-source frameworks, libraries and tools to perform our work.

Latest Posts

Machine Learning Developer Velocity

Machine Learning Developer Velocity

Developing machine learning systems is painfully slow. Machine learning (ML) models take months to develop and deploy. By the time ML models are deployed into production, development velocity is at a crawl. Let's understand why.

Real Costs of Machine Learning Systems

Real Costs of Machine Learning Systems

Developing and maintaining machine learning (ML) systems is costly. ML practitioners (Machine Learning Researchers, Engineers, Developers, and Data Scientists) incur multiple costs as they shift from prototype to production. Understanding real costs (true costs) of ML systems allows companies to better develop prototypes and deploy models into production.

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