Robotic dexterity falls far short of human ability due to inadequate tactile sensing in the gripper fingers. This prevents the use of robotics in unstructured environments in many industries to alleviate job shortages and open new markets. Contactile gives robots a human sense of touch and enables robotic dexterity. Our tactile sensor array measures 3D deflection, force and vibration at each array element, and torque, incipient slip and friction. With our sensors, a robotic gripper can grasp any object with optimal grip force, regardless of object weight, size, and friction – simply through real-time tactile feedback.

There are endless applications of dexterous robotic gripping systems: in the food value chain; manufacturing; e-commerce fullfilment; prosthetics; surgical robotics; and space. Our three channels to market give us enormous reach into almost every conceivable application of robotic manipulation: 1) sales to robotics integrators who develop custom automation solutions; 2) sales to researchers who are developing next generation robotics solutions; and 3) channel partnerships with multinational robotics manufacturers.

Our founders are engineers with extensive experience in research, project management and securing funding. We have worked together for 4+ years on the invention and R&D behind our sensor product and we are passionate about revolutionising robotics!

Anavision is a new startup company that focuses on A.I. image analytics technologies. We develop world leading A.I. technologies for analyzing images and videos collected from Robots, Drones, Aircrafts and Satellites. Our aim is to free humans from jobs that can be done by a robot.
We differentiate ourselves from othe A.I. analytics companies by utilizing automated devices to collect proprietary A.I. learning datasets for training our A.I. algorithms. For example, we collect plantation image data from Oil Palm, Eucalyptus, Accacia, Cassava fields using drones in Indonesia, Cambodia and China, helping plantation companies to count their crops and analyze the health status of crops. These analytics data can help plantation companies to have better business insights in futures trading and risk management. Pests and disease detection using A.I. detects issues at an early stage, and using less pesticides in crops means less damages done to the Earth. We also use drone image data and Satellite image data to do Land Use analysis, helping governments to plan a better city for the residents.
During Covid-19 pandemic, we developed an A.I. Fever screening system, that helps to reduce the close contact of frontline staff and unknown visitors during temperature measurement.

Onesight is a Hi-Tech company dedicated to the technology and innovation in architecture industry. Ground-breaking technologies in AR and AI have been developed and applied in the life-cycle of the building.
The company has launched open and multifarious products and solutions to gear up the needs in AEC field. Software and services are continuously provided to satisfy the overall and needs in each phase of buildings from design display, construction acceptance, to project maintenance. The company is available in the life-cycle of this industry to provide digital visualization services and assistance.

Densely populated areas and congested conditions are often cited as one of the best examples of the “three densities,” and these conditions must still be avoided from the perspective of preventing the spread of new coronavirus infection. However, in order to accurately grasp such information on human positions and density, it is necessary to make preparations for fixed-point observations at the location. In addition, it is also necessary to invest in sensors and cameras in order to understand the situation at the location. Therefore, with existing technologies, in addition to the problem of positioning accuracy, there is also the problem of the human cost of preparation and the cost of investment in equipment.
We will develop a system that uses Bluetooth Low Energy (BLE) to create a network of smartphones that can acquire 3D location information of people, and we will provide this service.

– Problem:
The largest problem of global comic distribution is the slow speed / high cost of translation. These problems prevent publishers from delivering their comics abroad.
Consequently, manga (Japanese comics) are currently mostly served by low-quality, unprofessional, pirated translations on sleezy sites. The pirated Manga market in the US is estimated to be $10B/year, which is hugely damaging to publishers and Manga authors.

– Product:
We are building a comic translation tool for publishers to create an appropriate pipeline that connects comic artists and readers beyond language barriers. It contains i) a machine translation engine designed for comcis and ii) a post-editing tool for translators/letters. The translation engine achieves the best accuracy in the world (Compared with Google Translate, our engine performs similar to human translation by 3.6 points BLEU [Papineni+2002]). Combined with our online post-editing tool, the translation system accelerate the speed of comic translation by 2x.

– Business model & Tractions
We charge $1000-$5000 per month for our comic translation tool.
Within a month of the launch, 20+ publishers and online comic distributors had requested a free trial, and one of them had already switched to a paid plan ($1000/month).

We create and integrate 3D depth sensing technology. 3D cameras are enabling new intelligent products across a spectrum of markets from automotive, robotics, industrial automation, consumer electronics and security. We are masters in time-of-flight depth sensing and bridge the gap from pixel to point cloud, expertly tailoring fit-for-purpose 3D solutions for our partners. We partner with silicon technology developers leveraging our 20+ patent portfolio to generate licensing revenues and work alongside customers to integrate tailored 3D camera solutions into their products.

The pandemic has brought to the forefront a challenge that organizational leaders have dealt with for decades: how
do I keep my team productive and high performing while also ensuring that they’re mentally resilient and engaged
with their roles? For a long time, we thought that these were two different challenges, but the pandemic has led
many organizations to the realization that both challenges are the same problem: just two sides of the same coin.

“A Nudge: A prompt that changes behaviour”.

We are the first to exclusively use personalized Nudges powered by Behavioral Science + Machine Learning to
incentivize your talents to be more effective, motivated and engaged.

Our solution is tried and tested: we have successfully increased organizational sales in real estate by 600%, while
also increasing retention by 22%.

ECOPSY Technologies proposes a new methodology to design and build HR-tools and HR-management tools using data-driven approach, which is becoming extremely popular these days as all products can be delivered to clients remotely.

• DEEP — Data Enabled Employee Profile. Utilizing mass online survey and modern machine learning methods DEEP supports developing valid and robust competency and value models. This approach helps to drastically increase level of predicting performance with competence model.
• delta.ai – questionnaire that predicts real-life behavior and current performance (Purpose — assess candidates on their fit with companies’ requirements: their values, competencies and predicted performance
• PIF (Potential in Focus) – company is able to forecast employees’ effectiveness and to select ones with high potential (HiPo’s) with a test, which has been developed in ECOPSY. Companies’ financial results depend on employees for 31%. With Potential in Focus test companies can predict employees’ behavior and efficiency not only now, in current conditions, but in future as well, with unpredictable conditions.
• Echo — system of an automated video interview analysis powered by artificial intelligence. The forecast accuracy is 70–80%. This accuracy allows to filter out 20–35% of candidates with almost zero error.