Klepsydra raises CHF 1 million to further advance and certificate its edge computing software

20.12.2021 18:48, Guillaume Tinsel

Inspired by algorithmic trading techniques, Klepsydra develops high-performance software for edge data processing applications in real-time. Its unprecedented results can be applied today to all kinds of small computers that are found in thousands of devices used daily in sectors such as space, aerospace, automobiles, robotics, IoT, smart agriculture, and medicine. Led by Spicehaus Partners, Klepsydra has also received funds from Serpentine Ventures, and several high-profile private investors who have also participated in this round of investment. Klepsydra won Venture Kick Stage 2 in 2020 and participated in ESA BIC Switzerland, and Innosuisse.

The new funds will be used to further advance product development as well as for the certification of Klepsydra software for critical mission applications which will open the doors to a larger market.

The founders of Klepsydra, Dr. Pablo Ghiglino, and Isabel del Castillo are convinced that their unique software is essential to carry out successful automation projects and contribute to energy savings as well as CO2 reduction. Founded in December 2018, Klepsydra has received the support of programs such as ESA BIC Switzerland, Venture Kick, and Innosuisse.



Just by means of software, Klepsydra’s solutions are capable of boosting data processing and artificial intelligence on the edge. The benefits are undeniable compared to standard edge computing solutions in the market: up to 8 times faster, up to 50-60% less power consumption in the processors, and no data losses. Not only that, Klepsydra can be installed easily in the vast majority of current devices.

A prestigious market analysis predicts that 75% of enterprise-generated data will be "created and processed outside a traditional centralized data center or cloud" by 2025. Another important market study forecasts that AI will contribute $15.7 trillion to the global economy by 2030. The demand for AI on the edge is exponentially growing in all sectors: satellites for earth observations and telecoms, car navigation and collision avoidance in traffic, agricultural robotics, face recognition in smartphones.
Pablo Ghiglino states: “All these applications need real-time response and latency makes the “AI on the cloud” approach unworkable. Waiting for multiple seconds before being able to react to the stimuli could otherwise lead to catastrophic consequences. Solutions like Klepsydra are critical: better software is the most cost-efficient optimization and will make the difference between successful and failed projects”.

Source: Klepsydra Press Release