Qualcomm Platform Solutions Ecosystem

Software Providers

We are here to help software and application vendors gain insight into the Qualcomm Snapdragon platform hardware architecture and software capabilities to leverage it in their solutions. In addition to this, Qualcomm provides access to the reference hardware, software, tools, training, documentation, solutions architecture consultation and technical support through the development as well as deployment with OEMs. OEMs benefit from a pre-integrated/optimized solution with measured performance that helps reduce their integration burden.

Hardware Component Vendors

Hardware component vendors gain access to Qualcomm Technologies service labs and technical experts during early critical validation of the hardware components against the SoCs. Our service lab also allows for more in-depth testing facilities that qualify the vendor components for the “preferred vendor list” (PVL) that the OEMs need to ensure that parts are verified by Qualcomm Technologies.

OTT Application Vendors

OTT application vendors are no longer constrained by the fragmentation of different levels of SoCs, allowing them to avoid having to design the application for the lowest common denominator of the chipset capability. OTT application vendors benefit from gaining insight into Snapdragon platform hardware capabilities, software architectures, and APIs, enabling them to leverage these tools to create the best possible user experience and performance.

How does the program work?

The Qualcomm Platform Solutions Ecosystem program supports ISVs, IHVs, and OTT application vendors from a technology perspective, focusing on how the vendor solution docks into the workflow. The program supports major technologies, including camera, audio, display, and AI, by helping to pre-integrate and optimize, resulting in solutions that offer both a premium user experience and feature differentiation for our OEMs.

Qualcomm Technologies has been one of our most important collaborators since we joined the Qualcomm Platform Solutions Ecosystem in 2018. Qualcomm Platform Solutions Ecosystem provides an early access program to the latest and the greatest architectures and the toolkits of Qualcomm Snapdragon mobile platform to develop our core algorithm and technologies. We are thankful for the extraordinary support from their ecosystem team as we continue to collaborate on key strategic projects for our image and video processing and AI applications. This year, our latest product, Morpho Semantic Filtering received an award from Edge AI Vision Alliance for the Vision Product of the Year 2020 by Qualcomm Technologies' great backing. Morpho will continue to work with Qualcomm Technologies to deliver innovative products and exceed customer's expectation in the fast-moving imaging and AI industry.

Toshi Torihara, Vice President of Morpho US, Inc

"Qualcomm Technologies has proven to be an exceptional collaborator for trinamiX as we bring cutting-edge material classification abilities to smartphones powered by Snapdragon mobile platforms. The ability to use 'live skin' detection in tandem with both a 2D IR image and a 3D depth map for facial recognition means that unlock spoofs are finally relegated to the past for OEM's integrating our technology into their mobile designs."

Stefan Metz, Director, 3D Imaging at trinamiX

The cutting-edge AI capabilities of the 5th generation Qualcomm® AI Engine inside the Qualcomm® Snapdragon™ 865 Mobile Platform and the Qualcomm Neural Processing SDK are uniquely positioned to empower novel applications like the real-time Loomie™ avatar conferencing that require high-performance deep learning inference on mobile hardware. LoomieTalk delivers a high-quality and interactive 3D avatar experience, reminiscent of our time in the Hollywood animation industry.

Mahesh Ramasubramanian, co-founder and CEO, Loom.ai

“We are pleased to expand on our collaboration with Qualcomm Technologies to include compatibility with Waves MaxxAudio® and Nx® 3D audio technologies on their Snapdragon 5G mobile platforms.  The advent of 5G connectivity opens the door to a new level of audio interactivity and immersion, and Waves MaxxAudio® and Nx® 3D audio technologies are purpose-built to optimize and enhance those new experiences.”

Tomer Elbaz – Executive Vice President, General Manager, Consumer Electronics Division at Waves

Participation in the Qualcomm® Platform Solutions Ecosystem provides access to many of the latest and the greatest Qualcomm® Snapdragon™ mobile platforms and development platforms to enable participants to port their solutions on such platforms. We are greatly benefitting from the extraordinary support from the Qualcomm Technologies ecosystem team as we continue to collaborate on our image and video processing implementations. The unique vector computation capabilities of Qualcomm® Hexagon™ processor along with its low power consumption allow Almalence to make highly sophisticated image and video super resolution algorithms run on Snapdragon platform at lightning speed. In collaboration with Qualcomm Technologies, Almalence makes it possible for OEMs to create smartphones with high-quality lossless camera zoom and achieve high picture clarity and natural visual experience in head-mounted displays

Eugene Panich, CEO - Almalence

Development

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Hardware Component Vendors

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How does the program work?

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Ready to apply?

Qualcomm Platform Solutions Ecosystem

Development

Solutions Architecture

Insight

Services

Software Providers

Featured software members

View camera members

View audio members

View AI members

Hardware Component Vendors

Featured hardware members

Memory

View sensor members

I/O

OTT Application Vendors

How does the program work?

Featured videos

The Latest

Intelligence at scale through AI model efficiencyIntelligence at scale through AI model efficiencyIntelligence at scale through AI model efficiencyIntelligence at scale through AI model efficiencyIntelligence at scale through AI model efficiencyIntelligence at scale through AI model efficiency

Our members

Ready to apply?

Intelligence at scale through AI model efficiency
Intelligence at scale through AI model efficiency
Intelligence at scale through AI model efficiency
Intelligence at scale through AI model efficiency
Intelligence at scale through AI model efficiency
Intelligence at scale through AI model efficiency