Bittium Launches Embedded AI Offering and Announces Collaboration with Qualcomm

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Bittium announces the launch of new Embedded AI offering, delivering intelligent on-device solutions for the telecommunication, IoT, defense, and satellite communication markets. This significant step ensures that Bittium’s turnkey product development services are AI-enabled, empowering customers with smarter, faster, and continuously evolving technology at the edge.

The Embedded AI offering marks a new step in Bittium’s growth strategy by combining expertise, technology, and partnerships to equip Bittium and its customers with intelligent, business-focused solutions that set the pace for the next generation of innovation.

As part of this initiative, Bittium is collaborating with Edge Impulse, a US-based Qualcomm company. Edge Impulse’s industry-leading Edge AI toolchain simplifies dataset creation, model training, and on-device deployment.

“Our collaboration with Bittium makes AI deployment practical and scalable for real-world applications. By removing hidden complexities and eliminating repetitive steps, we reduce development risks and enable customers to deliver advanced solutions faster. Together, we are driving efficiency and ensuring breakthrough technologies reach the industries and people who need them most,” said Zach Shelby, Vice President, Product Management, Qualcomm Finland RFFE Oy.

Building on over 40 years of expertise, Bittium’s mission is to accelerate real-world innovation through embedded AI. The Embedded AI offering transforms product lifecycles by adding on-device intelligence, providing pre-validated algorithms, over-the-air updates, and solutions that reduce costs, shorten development cycles, and continuously adapt to customer needs.

Bittium’s goal is to streamline AI adoption, build reusable software, and develop advanced R&D tool chains that enable scalable, repeatable products for demanding markets.

“Establishing the Embedded AI offering is a key milestone in our growth strategy. We are lowering AI deployment costs by reusing software assets, optimizing hardware expenses, and introducing version-controlled AI models. With embedded AI, our solutions deliver reliable intelligence on devices that require rapid response in challenging environments with unreliable connectivity—accelerating value creation for our customers,” said Jari Inget, Vice President, Engineering Services business segment at Bittium.