[Robosensor Technology Co., Ltd.] Digitizing the Sense of Touch: Eliminating Human Errors on Manufacturing Lines via \"Tactile Intelligence\" and AI

The Persistent Challenge of Manual Work in Ultra-Modern Factories

Hello, everyone. My name is Masayoshi Omura, Representative Director and CEO of Robosensor Technology Co., Ltd. It is a pleasure to be here.

At Robosensor, we are deploying our newly released \"Tactile Intelligence\" sensor series to minimize human errors on industrial manufacturing lines and achieve the complete digital transformation (DX) of manual processes.

A century ago, Henry Ford introduced the assembly line for the Model T, pioneering conveyor-based mass production. One hundred years later, even in Tesla's state-of-the-art Gigafactories, the core reality of manufacturing remains unchanged. Workers still stand beside conveyor belts, repeating the exact same manual tasks day in and day out.

We focus specifically on the installation of wire harnesses in automobiles. Each car contains about 1,000 electrical wires, and every single wire requires a connector to hook it up to engines, brakes, sensors, or controllers. This insertion process is done entirely by hand. A worker repeats this connection process 8,000 to 10,000 times a day. Under such repetitive strain, human errors—such as incomplete mating (where a connector is not fully inserted)—are statistically inevitable.

To prevent errors in these touch-dependent assembly steps and digitize the workflow, we developed a proprietary ultra-thin sensor that translates human touch into actionable data.

Zero Noise interference: High-Precision AI Mating Detection in 1 Millisecond

Our \"Tactile Intelligence Glove\" features our proprietary, ultra-thin (0.5 mm) high-sensitivity sensor embedded into the standard work gloves required on manufacturing floors.

The sensor measures both the pressing force applied by the finger and the micro-vibrations (impact sound) generated when a connector snaps into place.

Existing competitors try to verify mating by picking up the click sound using external microphones. However, acoustic detection is highly prone to errors on noisy factory floors flooded with wind noise and heavy machinery clatter. Our fingertip sensor is completely immune to ambient noise, isolating only the physical pressure and vibration waveforms captured directly at the fingertip.

The captured data is transmitted wirelessly to an edge AI system, which analyzes the signal in just 1 millisecond. It compares the waveform against a pre-registered correct mating profile with over 99% accuracy, ensuring that assembly never has to slow down. If an error or incomplete mating is detected, the system immediately triggers a warning light or buzzer, allowing the worker to correct the mistake on the spot and preventing defective units from moving down the line.

Furthermore, this data enables true manual-labor DX. Previously, companies could only record which worker built which unit by scanning barcodes at final inspection. Robosensor logs exactly how, when, and by whom each specific connection was completed in 1-millisecond intervals.

At just 0.5 mm thick, the sensor does not hinder manual dexterity. Workers welcome the technology because the data proves that their work was completed correctly.

High Market Penetration: Used by 6 Out of 8 Major Japanese Automakers

Our core technology, the 0.5 mm ultra-thin sensor, was developed in 2020. After enduring the pandemic and executing several pivots, we combined the sensor with our AI waveform analysis system. This packaged solution achieved immediate Product-Market Fit (PMF), generating direct inbound demand from manufacturing clients.

Today, six out of the eight major Japanese automakers have already implemented and evaluated our sensors. Additionally, we have shipped evaluation units to automotive clients in Detroit (USA) and modern factories in Germany.

Through global exhibitions, we discovered that our touch-digitization technology has limitless applications beyond automotive assembly. We are seeing active interest in wig-fitting quality measurement, food texture evaluation, tactile feedback for robotic hands, and physical therapy.

In the life sciences field, placing our sensor on the throat allows us to capture blood flow metrics that sync perfectly with electrocardiogram (ECG) readouts. We are co-developing this as a medical device in partnership with university hospital physicians.

Our business model is highly lucrative. By capturing just 10% (30,000 glove units annually) of our target market of 350,000 manual assembly workers globally, we can generate 15.5 billion JPY in annual revenue.

We are currently raising capital to accelerate our global expansion. Simultaneously, I am searching for a passionate young co-founder and a finance specialist to eventually inherit this technology and lead the company into its next stage of growth. Let us fuse Japan's manufacturing craftsmanship with AI to reshape global industry. Thank you.

Q&A and Feedback

Mr. Ogawa (Commentator): Thank you, Omura-san. I have mentored you for over five years and witnessed your struggles, so I am thrilled to see this pivot succeed. Packaging the sensor with AI waveform analysis has truly unlocked its commercial potential.

What was the shift in client response when you introduced AI-driven pass/fail detection?

Mr. Omura: Thank you. Previously, when we just showed clients the clean sensor data, they would say, \"Wow, that's great tech, but how do we implement this on the line?\" It did not lead to sales.

Once we built the AI edge-inference model to deliver an immediate pass/fail buzzer in 1 millisecond, line managers immediately recognized its value. Packaging it as a plug-and-play solution was the turning point.

Mr. Ogawa: Indeed, providing automated decision-making on-site is what manufacturing lines need. You mentioned succession planning and financial structuring as key challenges. What feedback do you receive from VCs on this front?

Mr. Omura: VCs often express concern over our team's average age, questioning our long-term scalability. It is a chicken-and-egg problem: we need funding to hire young talent, but the lack of young talent makes it harder to secure funding.

We want to use this round to bring in a dedicated CFO and young engineers, ensuring a smooth transition of leadership and a sound capital structure.

Mr. Ogawa: The automotive industry is undergoing massive cost pressures and EV shifts, making defect-free assembly more critical than ever. The timing is perfect for Robosensor. I wish you the best for this round.

Mr. Omura: Thank you. We will keep pushing forward.