DeepMind handpicked this startup for its robotics accelerator. Now it’s raised an $11.7m seed round

2026-06-24 · Source: Sifted · Field: Technology & Digital — Robotics & Autonomous Systems, Artificial Intelligence & Machine Learning · Depth: Fundamental Awareness, quick

Summary

Robotics startup Acumino has secured \$11.7 million in seed funding, following its participation in DeepMind's first accelerator program. Founded in 2021, Acumino specializes in building deep-learning-based robot models for dexterous tasks within industrial automation, targeting complex, repetitive operations in sectors like manufacturing, logistics, and healthcare. The company reported €5.60 million in revenue from 200 customers in 2023 and aims to reach €10 million from 30 customers in 2024, focusing on scaling deployments. Currently a team of 10, Acumino plans to expand to 20-25 employees by year-end and hire 100 people over the next three years, emphasizing the need for open, modular, and interoperable AI and robotics systems.

Key takeaway

For manufacturing executives evaluating next-gen automation, prioritize solutions that emphasize interoperability and open interfaces to avoid vendor lock-in. Consider DeepMind-backed startups like Acumino for dexterous tasks, as their approach to standardized, deep-learning models could significantly accelerate your deployment and scalability. Your investment in such platforms can future-proof operations against proprietary system limitations.

Key insights

DeepMind-backed Acumino scales industrial automation by deploying deep-learning robot models for dexterous tasks, emphasizing open, modular systems.

Principles

• AI and robotics must be open, modular, and have common interfaces.
• Avoid vendor lock-in in industrial automation solutions.

Method

Acumino builds deep-learning-based robot models that learn from human demonstrations, then deploys them, focusing on standardizing interfaces to enable interoperability.

In practice

• Prioritize open, modular robotics systems for future deployments.
• Investigate deep-learning models for complex dexterous tasks.

Topics

• Robotics
• Industrial Automation
• Deep Learning
• AI Models
• Startup Funding
• Dexterous Manipulation
• Interoperability

Best for: Entrepreneur, Investor, Tech Journalist

Related on AIssential

• Rivian spin-out Mind Robotics raises $500M for industrial AI-powered robots — Mind Robotics secured $500M to develop AI-powered industrial robots with human-like dexterity for factory automation.
• Google DeepMind chose these startups for its first robotics accelerator — Google DeepMind's accelerator fosters AI-robotics integration across diverse European startups using its AI stack and Gemini models.
• Samsung backs industrial robotics startup Theker in €85m round — Theker's AI-powered robots adapt to dynamic industrial environments in real-time, eliminating the need for reprogramming.
• Qualcomm’s partnership with Neura Robotics is just the beginning — Strategic partnerships between robotics startups and tech giants accelerate physical AI development and market entry.
• Google Deepmind's Gemini Robotics models will power Boston Dynamics' Atlas for industrial tasks — Google Deepmind's Gemini Robotics models will power Boston Dynamics' Atlas robots for industrial automation.
• Smart Robotics secures €10M Series A to expand AI robotic picking in Europe — Real-world data and proprietary AI are key to advanced intralogistics automation.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.