Covariant is an AI Robotics company founded by leading AI researchers from UC Berkeley and OpenAI. They are building the Covariant Brain, a universal AI platform that enables robots to see, reason, and act on the world around them. Their solutions are primarily focused on automating complex manual tasks in warehouses and fulfillment centers, such as picking, placing, and sorting diverse items, which have traditionally been difficult for robots to handle. Covariant aims to power the next generation of intelligent automation, helping businesses improve efficiency, reduce costs, and scale operations in the logistics and e-commerce industries.
Serves as the central hub for research and development, engineering, product management, sales, marketing, and corporate operations. It's where the core AI technology, the 'Covariant Brain,' is primarily developed and refined.
Modern office space likely equipped with advanced R&D labs for robotics development, fostering a collaborative and innovative environment typical of Bay Area tech companies. Strategically located to access top tech talent.
As an AI-focused robotics company, the culture emphasizes innovation, rigorous problem-solving, deep collaboration between AI researchers and engineers, and a fast-paced environment. There's a strong focus on cutting-edge research with practical, real-world applications.
The Emeryville HQ is crucial as it's the birthplace of Covariant's core AI platform and where strategic decisions are made. Its proximity to UC Berkeley (where founders hail from) and the broader Bay Area tech talent pool is significant for recruitment, research partnerships, and industry presence.
While headquartered in Emeryville, California, with a significant R&D office in Toronto, Canada, Covariant supports a global customer base. Their AI robotics solutions are deployed in warehouses and logistics facilities across North America, Europe, and Asia-Pacific through direct engagement and strategic partnerships. This global reach enables them to address automation needs for multinational corporations and adapt their technology to various regional operational requirements and labor market dynamics.
6001 Shellmound St
Emeryville
CA
USA
Address: Specific address not publicly listed, but strategically located within Toronto's technology and AI research corridor.
Strengthens Covariant's R&D capabilities, diversifies its talent acquisition strategy, and supports its North American operations and global expansion efforts by leveraging Canada's AI ecosystem.
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As of April 2025, Covariant' leadership includes:
Covariant has been backed by several prominent investors over the years, including:
Based on publicly available information, Covariant's core executive team appears to have remained stable over the last 12 months (mid-2023 to mid-2024), with no major C-suite hires or departures publicly announced during this period. Key leadership roles have been filled by individuals who joined prior to this timeframe.
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Covariant commonly uses email formats based on employee names. The most frequently observed pattern is the employee's first name followed by the @covariant.ai domain. Another pattern, first.last, is also in use.
first@covariant.ai (e.g., jane@covariant.ai) or first.last@covariant.ai (e.g., jane.doe@covariant.ai)
Format
peter@covariant.ai
Example
75%
Success rate
Robotics 24/7 • February 21, 2024
Covariant and ABB announced an expanded partnership to jointly develop and bring to market integrated AI robotic solutions. This collaboration aims to combine Covariant's advanced AI Brain platform with ABB's robotic hardware to automate complex tasks in warehousing, e-commerce, and logistics environments....more
PR Newswire • July 25, 2023
Covariant announced it secured an additional $75 million for its Series C funding round, bringing the total for the round to $155 million. The new capital, led by existing investors Index Ventures and Radical Ventures, is intended to accelerate the development and deployment of its AI-powered robotic automation solutions for warehouses and fulfillment centers....more
Covariant Blog • May 9, 2023
Covariant unveiled RFM-1 (Robotics Foundation Model 1), a new AI model designed to enable robots to generalize learning across a wide variety of tasks, objects, and environments without task-specific programming. This marks a significant step towards more versatile and adaptable AI-powered robotic systems in industrial settings....more
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