Osaro develops advanced robotic automation systems that combine machine learning–based object recognition with adaptive control software to enable logistics operators to scale e-commerce order fulfillment, inventory induction and extraction, sortation, and singulation. Its robotic piece-picking solution is optimized for high-SKU inventories, complex packaging, and fragile items, and integrates with ASRS, AMRs, conveyor systems, and other materials handling equipment. The systems have been used by the world’s top retailers, system integrators, and third-party logistics companies. Led by CEO Derik Pridmore, the company plans to extend its solution and support offerings and to leverage its machine learning platform into new automation applications. Osaro will also use the funds to accelerate global growth through market expansion and hiring. Financially, the company raised $30M in a Series C round, bringing total funding to date to $67.5M. OSARO develops machine-learning software for industrial automation, with a focus on robotic piece-picking for e-commerce order fulfillment and intralogistics. The company offers a software-only, vision-first approach and is the only full-stack robotics firm in the article that provides a vision-only solution tightly integrated with major industrial arms and grippers. OSARO's software combines advanced object-recognition models with motion control to automate picking, packing, and related warehouse tasks across industries including electronics, apparel, grocery, and pharmaceuticals. In 2020 the company deployed 18 software systems, grew its team by over 20% (adding ten engineers), and launched a Tokyo subsidiary, OSARO GK. OSARO also collaborated with Innotech to produce a mobile “Piece Picking Station” marketed to logistics and factory automation customers. Performance evaluations cited in the article report a 99% successful pick rate, a 99.81% successful placement rate, and the highest accuracy across 1,400 unseen and adversarial objects. Financially, the company has raised a total of $37 million from investors on four continents. OSARO builds hardware-agnostic machine learning software for industrial automation, with flagship products OSARO Pick (robotic piece-picking) and OSARO Vision (perception and control). Its software automates stationary picking stations in "goods to robots" distribution centers and integrates with a wide range of robotics hardware. The company emphasizes deep learning algorithms that generalize picking tasks with minimal training data and no SKU registration to enable quick, scalable deployments. OSARO operates a cloud-based data and GPU infrastructure to support industrial-scale, fault-tolerant robotic deployments and began deploying OSARO Pick in Japan in early 2018. Planned uses of new capital include talent acquisition, international deployments, and advancing the OSARO Pick and OSARO Vision product lines, with targeted deployment growth in North America, Australia, Korea, China, Japan, and Germany. The company also announced a senior engineering hire (Kevin Pope) to support global scaling. Osaro is a nine-person, San Francisco-based startup developing advanced machine learning (deep reinforcement learning) that combines perception with decision-making. Its core product is a machine-intelligence operating system for robots that learns via trial and error and will be licensed to customers. The company is exploring pilot deployments in industrial robotics and is working with firms that have critical needs for more flexible automation; it currently has no commercial customers. Osaro aims to enable lower-skilled technicians to set up and train robots over time and ultimately to improve agents remotely by learning across deployed robots. The startup raised $3.3 million in seed funding to take its technology to market. Investors in the seed include Scott Banister, Jerry Yang’s AME Cloud Ventures and Peter Thiel.

Total raised

$49M

Funding rounds

4

Latest round

Series C

Latest activity

Aug 2021