Dogtooth is a Cambridge-based technology start-up that sells state-of-the-art intelligent robots for soft fruit picking.

Robotics

Dogtooth

Dogtooth's headquarters in Royston, United Kingdom

This department oversees the creation, organization, and management of content across various platforms.

Content Management

The Engineering Team at Dogtooth is responsible for designing, developing, and refining advanced robotic systems tailored for soft fruit picking. This multidisciplinary team collaborates to integrate mechanical, electronic, and software components, ensuring the robots operate efficiently and effectively. They also focus on continuous improvement through quality assurance and cutting-edge machine learning applications to enhance robot intelligence and performance in the field.

Engineering Team

The Leadership Team at Dogtooth is responsible for setting the strategic direction of the company, driving innovation in intelligent robotics for soft fruit picking, and overseeing operational execution. Comprising key executives like the CEO, COO, CTOs, and CFO, the team collaborates to align product development with market needs, ensure financial health, and foster a culture of research and technological advancement. Their collective expertise guides Dogtooth in scaling its operations and enhancing the efficiency of its cutting-edge robotic solutions.

Leadership Team

The Finance and Administration Team at Dogtooth is responsible for managing the company's financial health and ensuring operational efficiency. This team oversees budgeting, forecasting, and financial reporting while also handling administrative tasks such as human resources, office management, and executive support. Their efforts enable sustainable growth and contribute to the overall success of the innovative technology offerings in soft fruit picking.

Finance and Administration Team

The Machine Learning Team at Dogtooth focuses on developing and fine-tuning algorithms that enable robots to efficiently identify and pick soft fruits with precision. By utilizing advanced machine learning techniques and extensive data annotation, the team enhances the robots' performance in diverse harvesting conditions, ensuring optimal yield and minimal damage to the fruit.

Machine Learning Team

This department focuses on the design and development of electronic systems and components.

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Other teams

Engineering Team

Leadership Team

Finance and Administration Team

Machine Learning Team

Electronics Engineering