Research, Development, and Environmental Commitment
At Talkme, innovation and environmental respect are at the heart of our approach. We firmly believe that technology can drive progress while addressing ecological challenges. Our Research and Development (R&D) teams work tirelessly to design solutions that are both high-performing and sustainable, in line with GreenIT principles.
Our actions are driven by a commitment to promote digital sobriety, by minimizing the resources required for our software operations and integrating eco-friendly practices into the design of our solutions.
Let's discuss it
Our Environmental Commitment: Green IT
Talkme stands out for its commitment to Green IT. We aim to reduce the industry's carbon footprint by offering solutions that optimize energy efficiency and resource management. Through our innovations, our clients benefit from lightweight software and servers located in France, ensuring minimal energy consumption
We believe in a future where technological innovation and environmental respect go hand in hand. That's why we continue to invest in projects that promote the sustainable use of technology, aiming to minimize environmental impact while maximizing performance
ELECTRICAL SIGNALS
Capture and process electrical signals to enable TALKME's solution to reduce energy and consumable consumption, while increasing productivity
By using current measurement sensors placed at various points on the machine, we collect current curves. Through machine learning (AI), we can understand the machine's operation and deduce its normal operating cycles.
This non-intrusive approach allows us to equip all types of machines, whether motorized or electrically powered, to create a behavioral profile based on their consumption patterns
By comparing these operating cycles with work orders (WO) during normal operation, we can monitor production and detect abnormal behaviors. This allows us to halt production of a part or trigger an alert in the event of unusual behavior.
Intelligent Scheduling
Currently, the scheduling of work orders is based on a few criteria (opening time and theoretical duration of the item)
The goal is to provide scheduling suggestions based on multiple known and/or unknown criteria (machine data, electrical signals, customer urgency, material supply, production history, etc.), and on a new model of relationships between entities (machines, AI, algorithms)
The goal of our Research and Development program is to provide real support and assistance to teams, relieving them and enabling them to focus on higher-value tasks
