SERVICES

SERVICES
CAPABILITIES

Manifold excels in data infrastructure, machine learning, and production-scale deployment. Our specialized expertise includes augmented reality, computer vision, digital signal processing, edge computing, and natural language.

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WORK

Manifold is trusted by CTOs, CIOs, and GMs at Global 500 and high-growth companies. Our work spans industries such as consumer electronics, industrials, wireless, online commerce, digital health, and more.

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TEAM

Manifold's engineers have a track record of innovation at organizations like Google, Qualcomm, MIT, and successful venture-backed startups. Our Advisory Board includes leading researchers in deep learning at Stanford and Harvard.

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DISCOVERY

Working through the right questions with the right stakeholders to deeply understand the business drivers, data assets, and product aspirations.

DESIGN

Designing a product strategy, architecture, and roadmap using 4 distinct perspectives and areas of expertise— business value, product design, systems engineering, and data science

DEVELOPMENT

Rapid development using 2-week sprint cycles, optimal platform choices, micro-services and container architecture, CI/CD, and TDD.

DELIVERY

Delivering reliable, scalable, and maintainable data-intensive applications, that tolerate hardware faults and human error, perform well at significant loads, and are easy to operate, understand, and extend.

EXCEPTIONAL PEOPLE

Manifold's exceptional engineers have been at leading tech companies. A “two-pizza” Manifold team can accomplish in a few months what another firm may need lots of people over several quarters for.

PRODUCTION SOFTWARE

Manifold is an AI engineering services firm that delivers working software, data infrastructure, and machine learning models. We have the expertise required to build robust pipelines for terabyte and petabyte scale data and models that continuously retrain in production.

OBJECTIVITY

Manifold is a boutique services firm that focuses on our client's time-to-value goals. We're objective about the vendor landscape and the many build-versus-buy judgments to be made in bringing a complex product to market.