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Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

List of Cerence CaLLM Edge Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
Geely International Hong Kong Distribution 30 $6M Hong Kong Cerence Cerence CaLLM Edge Generative AI Platforms 2026 n/a
In 2026, Geely International Hong Kong implemented Cerence CaLLM Edge as part of a Cerence xUI deployment to deliver LLM-enabled in-car voice and infotainment capabilities for its overseas model lineup. The Cerence xUI deployment for the Geely Galaxy M9 was announced in January 2026 and the vehicle-level rollout is scheduled for April 2026, linking the Cerence CaLLM Edge implementation to the Generative AI Platforms category. The implementation leverages Cerence xUI built on the CaLLM family, with the use of Cerence CaLLM Edge implied by the xUI architecture to provide an embedded single local model for on-device inference. Functional capabilities implemented include conversational natural language understanding, voice assistant orchestration, and infotainment user experience integration, consistent with Generative AI Platforms that support local LLM inference and voice UX modules. Operational scope covers in-vehicle systems for Geely Galaxy M9 and other overseas models, with workstreams expected across vehicle software and infotainment engineering teams to configure on-device models and conversational flows. The deployment approach is staged at the vehicle level, reflecting an OTA oriented rollout cadence announced in January 2026 and executed starting in April 2026. Governance is centered on model configuration and lifecycle controls at the device level, including on-device model provisioning and update management aligned to Cerence CaLLM Edge capabilities. The narrative ties Geely International Hong Kong, Cerence CaLLM Edge, Generative AI Platforms, and in-car voice and infotainment business functions into a single implementation signal for enterprise retrieval and analysis.
Great Wall Motor Automotive 77934 $19.8B China Cerence Cerence CaLLM Edge Generative AI Platforms 2025 n/a
In 2025 Great Wall Motor demonstrated Cerence CaLLM Edge in a GWM vehicle at Auto Shanghai 2025, using Cerence xUI to showcase multimodal, multi-seat in-car conversational and infotainment interactions in English and Mandarin. The demonstration positioned Cerence CaLLM Edge within the Generative AI Platforms category as an embedded small language model configured for low latency on-device conversational user experience, tied directly to vehicle voice and display surfaces. The implementation signal emphasized embedded on-device inference and multimodal capability, with Cerence CaLLM Edge driving simultaneous conversational channels for multiple seats and coordinating with Cerence xUI to surface voice, text and visual responses in the vehicle infotainment flow. Functional capabilities shown included natural language understanding in English and Mandarin, multi-seat session handling, and low-latency on-device generation to support conversational UX and infotainment workflows. The Auto Shanghai event was an engineering and product demonstration rather than a production launch, with scope limited to a GWM demonstration vehicle and no public production rollout described. Governance and rollout details were not announced, the showcase served as a proof point for embedding Generative AI Platforms into in-vehicle conversational and infotainment systems and for validating on-device LLM architectures in a live automotive context.
Jaguar Land Rover UK Automotive 38379 $35.6B United Kingdom Cerence Cerence CaLLM Edge Generative AI Platforms 2025 n/a
In 2025 Jaguar Land Rover UK signed a multi year agreement with Cerence to co develop next generation in car AI and voice assistant capabilities, signaling a strategic commitment to embedded generative models. The deal centers on Cerence CaLLM Edge as part of Cerence's Generative AI Platforms, positioned to enable xUI driven interaction layers within JLR infotainment and UX stacks. The implementation narrative emphasizes use of Cerence CaLLM Edge for embedded and edge inference to support vehicle resident voice assistants and contextual user experience components, aligning with Cerence public positioning of JLR as an xUI customer. Functional capabilities inferred from vendor materials include natural language understanding for in car voice interaction, contextual turn taking, and local model inference for reduced latency, which are typical for Generative AI Platforms deployed at the edge. The integration focus is on embedding the CaLLM Edge runtime into Jaguar Land Rover infotainment and UX software layers rather than cloud only processing, reflecting an emphasis on on device responsiveness. Governance and rollout are structured as a multi year co development program agreed in January 2025, with production deployments indicated as expected in 2026 across UK and global markets. Operational scope explicitly covers in car infotainment and voice assistant business functions within JLR vehicle platforms, and the partnership model centers on joint development and phased production readiness. Cerence CaLLM Edge is therefore positioned as the embedded Generative AI Platforms component for Jaguar Land Rover UK to operationalize next generation in car conversational experiences.
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FAQ - APPS RUN THE WORLD Cerence CaLLM Edge Coverage

Cerence CaLLM Edge is a Generative AI Platforms solution from Cerence.

Companies worldwide use Cerence CaLLM Edge, from small firms to large enterprises across 21+ industries.

Organizations such as Jaguar Land Rover UK, Great Wall Motor and Geely International Hong Kong are recorded users of Cerence CaLLM Edge for Generative AI Platforms.

Companies using Cerence CaLLM Edge are most concentrated in Automotive and Distribution, with adoption spanning over 21 industries.

Companies using Cerence CaLLM Edge are most concentrated in United Kingdom, China and Hong Kong, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Cerence CaLLM Edge across Americas, EMEA, and APAC.

Companies using Cerence CaLLM Edge range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 66.67%.

Customers of Cerence CaLLM Edge include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Cerence CaLLM Edge customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Generative AI Platforms.