Tesollo is developing high degree-of-freedom hands for use with any humanoid robot. | Credit: Tesollo
Robotic hand developer Tesollo Inc. has officially begun preparations for an initial public offering, or IPO, in the coming year and has completed its Series B funding round to fuel its global expansion.
The Incheon, South Korea-based company specializes in manufacturing core robotic components, advanced end effectors, and systems designed to enhance robot autonomy and human-robot collaboration.
“Through our IPO, we aim to establish a corporate foundation that global customers can trust and accelerate our expansion into overseas markets,” stated Young-Jin Kim, CEO of Tesollo. “By strengthening our mass-production capabilities and advancing our core technology development, we will continue to grow into a global leader in the robotic hand sector.”
Tesollo said that existing shareholders, including POSCO Technology Investment, KB Investment, and Enlight Ventures, participated in its Series B round as follow-on investors. Strategic investors from the industrial sector, including Daesung Hi-Tech and HL Mando, also joined the round. The company claimed that the investment demonstrates recognition of its technological capabilities and growth potential.
Founded in 2019, Tesollo added that it is securing customers in major markets, including the U.S., China, and Japan. To date, the company has exported its products to 19 countries, and its overseas sales recently surpassed its domestic sales, marking its transition into a global company.
Tesollo commits to robotic hand development
In March this year, Tesollo demonstrated the DG-3 three-fingered gripper and other products at AW 2026. The company’s product line ranges from the DG-2F parallel grippers to the five-fingered DG-5F.
Tesollo said it developed the DG-5F-S using proprietary in-house actuators to weigh less than 1 kg (2.2 lb.). This model offers high precision and stability at about 60% of the cost of its predecessor and helps accelerate the commercialization of humanoid robots, it asserted.
The company was an exhibitor at the recent Robotics Summit & Expo in Boston. Tesollo also demonstrated the DG-5F-M and DG-5F-S robotic hands, including teleoperation, bin picking, in-hand manipulation, and its humanoid vision-language-action model (VLA) at the ICRA show in Vienna.
All of this exposure comes as the company has matured its product line with a pragmatic strategy to become a specialist in multi-jointed robotic hands for humanoids.
The DG-5F is a robotic hand similar in size to an adult male’s hand and features 20 independently driven joints for advanced functionality. | Credit: TESOLLO
Spotlight on MTBR
Humanoid manipulation is a difficult application to master, as the hands are nearly as complicated as the rest of the humanoid body and limbs. Such end-of-arm tooling (EOAT) is subjected to stress and wear that is higher than that of any other component on the robot.
Mean time between repair (MTBR) and mean time to repair (MTTR) are two key performance indicators (KPIs) for humanoid robotic grippers.
Many users of humanoids complain of frequent breakage and time spent fixing broken fingers and joints. According to an analysis by ENGtechnica on the humanoid hand bottleneckthis structural complexity creates a disproportionate “failure density” where dozens of micro-actuators, sensors, and tendon-driven cables act as single points of failure.
Tesollo said it recognized this issue early in development. It designed its DG series to be easy to repair and replace the fingers and joints as the hands fail during normal operations. The diverse use cases for humanoid hands, combined with the need for component longevity, remain challenging for every humanoid hand manufacturer.
Currently, no manufacturer is close to a certified 10,000-hour MTBR, and this metric is the key measure by which these compact machines will be measured if they are going to survive industrial and even commercial deployment.
Submit your session idea for the 2026 RoboBusiness
Source link
GIPHY App Key not set. Please check settings