Blog

Solid tyre manufacturing is a time-consuming, multi-step process which can be easily optimized, and multiple steps can run in parallel based on machine availability. Xeptagon IPS increased the output capacity of a solid tyre manufacturer by efficiently parallelizing the production process.

Cable manufacturing is a complicated process with multiple dependencies on raw materials, machines, and bobbins. Learn how Xeptagon IPS optimized the production process and increased the production capacity of a large cable factory while our predictive maintenance systems monitor critical machines to avoid machine breakdowns.

Within Building Management Systems, chiller plants are the most energy-intensive component that needs to be optimized to reduce the energy cost with increasing cooling demand. The conventional sequencing strategy for chiller plants is sub-optimal resulting in higher energy costs. Read how Xeptagon uses data-driven chiller plant optimization coupled with IoT sensors to enable real-time optimization with up to 25% energy savings.

Xeptagon has developed an ETL process-based data integration platform for an inter-governmental organization that is used to publish multiple public data repositories which are regularly updated. The highly scalable and secure data pipeline platform implemented using Microsoft Azure provides advanced monitoring and archival capabilities as well. The platform provides a comprehensive solution to any organization which has large-scale data management needs.

Xeptagon took part in the Asian Financial Forum (AFF) 2023 held in Hong Kong. The event brought together many global financial thought leaders in person with the participation of industry leaders, policymakers, fintech innovators and investors from over 80 countries. With the event having a core focus on sustainability and decarbonization this year, Xeptagon was able to introduce the recent work carried out in the Carbon Credit Trading domains to the participants.

Xeptagon IPS was selected to participate in the Berlin Landing Pad program alongside 11 other startups across Asia and was also selected as one of the top 10 finalists out of 300 participants in the Asia Berlin Summit 2022 Start-up pitch competition. Both events are initiatives of the Berlin Government, funded by the European Union.

Xeptagon will be releasing a lightweight open-source On-Chain Analytics platform to analyze on-chain transactions on blockchains! The initial phase of the project was developed with the partnership of National University of Singapore as a capstone project. The project which is currently focusing on Bitcoin will be extended to other cryptocurrencies.

Xeptagon was among the 400 exhibitors at the Hong Kong Fintech Week 2022. The event brought together thousands of industry leaders, policymakers, and fintech innovators to discuss opportunities and challenges faced by the fintech industry. We were able to introduce the best of our fintech products and development services on blockchain, on-chain analytics, and financial data modeling to the attendees.

Xeptagon designed and developed a cloud platform independent generic machine learning orchestration framework as a solution to handle scalability, availability, fault tolerance, model management and reusability of machine learning models. Our framework is based on Python, FastAPI, Docker, Terraform, GitHub Actions and Kubernetes. The framework was developed to deploy machine learning models of an inter-governmental organization.

Internet Computer Protocol(ICP) Blockchain is expected to play a pivotal role in Web3.0 adoption. Xeptagon developed a framework to connect the ICP canisters to AWS Lambda functions which will enable AWS Lambda to harness the distributed computational and data storage capabilities of ICP. Our framework will act as the bridge between Web2.0 and Web3.0 during the current transition period to Web3.0.