Sample Innovation Projects from Intel's New Business Incubator
Before founding BRI, its principals Jim and Stephen worked for many years within Intel's New Business Incubator. Intel was one of the first companies to aggressively pursue non-organic growth and investment strategies, with the formation of Intel Capital in 1991, and the internal incubator in 1998.  Intel Capital has generated billions of dollars in investment returns for Intel and is one of the largest corporate strategy equity investors in the world. The New Business Incubator was one of the earliest examples of applying Venture Capital-like investment and portfolio management strategies to internally focused, diverse, new business opportunities.

In the earliest days of the incubator, Jim and Stephen were serial intrapreneurs, founding and leading several new business ventures across a broad range of market segments and technologies, from consumer to business and from silicon to hardware systems, to software and cloud-service based businesses.  In the second and third iterations of the incubator itself, they became part of the incubator's leadership team where they helped drive the incubators alignment within Intel's overall growth strategy, and improvements in the overall strategy and approach for how the incubator would operate. In that time, they engaged with leading strategy and innovation academics like Robert Burgleman from Standford, Clayton Christensen from Harvard, among others as well as corporate innovation and incubation leaders from many other Fortune 500 companies, where they shared and explored best practices.

Below are just a few samples of some of the projects Jim and Stephen supported within Intel's New Business Incubator.

Smart Image Sensor - Pivot to Machine Vision / AI Enabling Strategy

Timeframe:

Circa 2006

Description:

Originated as novel CMOS image sensor with superior image quality and integrated image processing, pivoted to real-time video analytics co-processor & machine vision SW SDK.

Key innovation:

Emphasis on real-time machine vision application enabling with heterogeneous image processing hardware under common API and SW abstraction layer with libraries for optimized performance on any Intel-based hardware.

outcome:

Catalyst for shift in Intel's corporate strategy to pursue machine vision/AI use case with embrace heterogeneous architectures and SW abstraction libraries that evolved into the Intel OpenVINO toolkit and acquisitions, like Movidius.

Digital Signage Solutions

Timeframe:

Circa 2008

Description:

Hardware platform, software, and services solution for just emerging digital signage and advertising market segment.

Key innovation:

Early identification of merging use case with high growth and significant unmet needs for multiple ecosystem players. Emphasis on location-based and real-time intelligent audience analytics using machine vision.

outcome:

Resulted in the formation of new division within embedded solutions group, including small, targeted acquisitions. Division since evolved to become part of broader “Digital Retail” strategy for Intel. Thriving business today.

Intel Services Integration Platform for Tablets

Timeframe:

Circa 2014

Description:

White label cloud and mobile client software platform for multi-party digital service integration and monetization. Solution was a differentiator and profit complement for Intel's tablet platforms and processors.

Key innovation:

Defined new, untapped tablet customer segment and new service-based business model with recurring revenue in highly competitive 'red ocean' of the general-purpose tablet market. The cloud and client multi-party service integration allowed customers to easily integrated their unique services with private-labeled versions of 3rd party services under a unified and optimized user experience, bundle on Intel tablet hardware platforms.

outcome:

This solution was the catalyst for Intel's largest OEM tablet design win at the time and even the MVP drove >300K sales in its 1st two quarters. When Intel deprioritized the tablet segment, the IP sold to large multi-national systems integrator with an ongoing enabling benefit for Intel's tablet processors..

SensiML (Intel Knowledge Builder Toolkit)

Timeframe:

Circa 2016

Description:

A cloud-based software service and toolkit for AI code generation, automatically optimized for very low-cost and low-power client-side processing on IoT devices.

Key innovation:

Leveraging the cloud-based data collection and processing for training client-only machine learning based sensor data classifiers.

outcome:

The solution quickly became the leading competitive differentiator for Intel's Quark™ IoT focused SoCs. When Intel decided to discontinue the Quark family of processors, the business was spun out as SensiML and subsequentially acquired by QuickLogic.

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