Coral AI, a platform from Google, empowers developers to build intelligent devices with local, on-device AI. It offers a comprehensive suite of hardware components like the Edge TPU, development boards (e.g., Coral Dev Board, Dev Board Mini), and accessories, alongside software tools and pre-compiled models. Coral's mission is to make AI more accessible and efficient by enabling machine learning inference directly on edge devices, reducing latency, conserving power, and enhancing data privacy. This approach is ideal for applications in various industries, including manufacturing, healthcare, retail, and smart cities. The specific team size for Coral AI within Google is not publicly disclosed.
The Googleplex (Google's HQ) houses executive leadership, core engineering teams, research and development (including AI initiatives), product management, and corporate operations that support platforms like Coral.
The Googleplex is renowned for its expansive and unique campus design, numerous employee amenities (cafes, fitness centers, green spaces), and an environment fostering innovation, often featuring public art and Android statues.
Google's work culture, which influences teams working on Coral, is known for encouraging innovation, data-driven decision-making, collaboration, and providing employees with significant autonomy and resources within a fast-paced tech environment.
Located in the heart of Silicon Valley, Google's Mountain View HQ provides unparalleled access to a vast talent pool, a vibrant tech ecosystem, venture capital, and proximity to many partner companies and research institutions critical for AI advancement.
As a Google platform, Coral AI leverages Google's extensive global infrastructure. Coral hardware products are available for purchase in numerous countries through a network of international distributors. The software tools, extensive documentation, and active community support are accessible online to developers worldwide, enabling global innovation in on-device AI solutions. Furthermore, Google Cloud services can complement Coral deployments for model training, updates, and fleet management, enhancing its global operational reach.
1600 Amphitheatre Parkway
Mountain View
CA
USA
Address: Google Building Zurich, Brandschenkestrasse 110, 8002 Zürich, Switzerland
Serves as a critical engineering and research center for Europe, Middle East, and Africa (EMEA), tapping into specialized European tech talent and research ecosystems relevant to AI and edge computing.
Address: 111 8th Ave, New York, NY 10011, USA
Key presence on the US East Coast, fostering connections with diverse industries (finance, media, healthcare), academia, and a large talent pool for AI development and enterprise solutions.
Address: 6 Pancras Square, London N1C 4AG, United Kingdom
Access to world-class AI talent, leading research institutions in the UK and Europe, and a strategic hub for Google's AI initiatives in the region.
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As of April 2025, Coral AI' leadership includes:
Coral AI has been backed by several prominent investors over the years, including:
In the past 12-18 months, Google's AI division, which oversees platforms like Coral, has focused on consolidating research (e.g., forming Google DeepMind) and acquiring strategic talent. For instance, Armand Joulin joined Google DeepMind from Meta. Specific high-level executive movements directly tied only to the Coral AI platform are not frequently publicized as it's an established product line within Google's broader AI and hardware efforts. No high-profile departures directly and solely linked to Coral AI's core leadership have been widely reported.
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Team members working on Coral AI at Google typically use standard Google corporate email addresses. The most common formats are based on employee names. While variations can exist for common names or by preference, these are generally reliable starting points.
[first_initial][last]@google.com, [first].[last]@google.com
Format
jdoe@google.com, jane.doe@google.com
Example
85%
Success rate
Coral.ai Blog • August 9, 2023
Coral AI announced full support for INT8 quantization in its toolchain. This update enables more TensorFlow Lite models to be compiled efficiently for the Edge TPU, improving model accuracy and performance for on-device AI applications by utilizing integer-only arithmetic throughout the model....more
SensiML Blog • November 14, 2023
SensiML detailed how its Analytics Toolkit can be used with the Google Coral Dev Board Mini, enabling developers to more rapidly build and deploy efficient AI/ML applications for IoT devices. The integration combines SensiML's AutoML capabilities with Coral's hardware acceleration for edge processing....more
Google Blog (I/O Announcements) • May 14, 2024
While not specific Coral product news, Google I/O 2024 featured numerous announcements regarding advancements in Gemini models and increased on-device AI capabilities for Android and other platforms. Such progress in Google's core AI technology often paves the way for future enhancements and capabilities in specialized edge AI platforms like Coral....more
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