At Hivemind Technologies, we are committed to driving innovation and sustainability in the green tech sector. Our advanced solutions empower leading companies to overcome significant challenges and optimise their operations through cutting-edge technologies. Here is a selection of some of our impactful projects with industry giants and scale-ups such as Siemens, E.ON Drive Comfort (formerly Elvah), Zenobē Energy, and Senec of En.BW. These case studies illustrate our expertise in implementing high-performance, scalable, and reliable solutions tailored to the unique needs of each client.
Green Tech Success Stories
State of the art software engineering, consulting & development
[_Explore projects we've realised with our clients.]
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State of the art software engineering, consulting & development
[_Customer: Senec.]
Senec focuses on smart energy solutions, offering solar power systems and energy storage solutions for households and businesses.
The Problem Our Client Had:
Senec's energy legacy storage logging platform needed to be upgraded to meet modern standards. The existing system faced challenges with permissions management, log formatting and a subsequent limited platform search function, impacting the operational functionality and usability of the system.
The Solution We Delivered:
We upgraded Senec's platform to a centralised metering and log collection system with real-time reporting and analytics. The solution involved migrating to Kubernetes on Azure, implementing the Elastic Stack, and automating client conversion with Ansible and Terraform. The new log system, using OpenSearch, Vector.dev, Kafka, Prometheus, and Kubernetes, features single sign-on (SSO) with Azure AD. Technologies included Azure Cloud, AWS S3, Flink, HashiCorp Vault, ArgoCD, and Gitlab Pipelines.
State of the art software engineering, consulting & development
[_Customer: Zenobė.]
Zenobē Energy specialises in fleet electrification and energy storage, providing infrastructure for electric vehicles and large-scale battery storage solutions.
The Problem Our Client Had:
Zenobē experienced occasional outages in their smart charging system, affecting the reliability and efficiency of their electric fleet operations. To address these issues, Zenobē required a robust and scalable solution to stabilise and enhance system performance.
The Solution We Delivered:
We stabilised and replatformed Zenobē's smart charging solution using edge and cloud computing platforms. This included security enhancements and the implementation of data streaming and analytics. This solution improved the reliability of their electric fleet operations, ensuring stable and scalable performance.
State of the art software engineering, consulting & development
[_Customer: ELVAH.]
E.ON Drive Comfort (formerly Elvah) offers e-mobility solutions with access to over 300,000 EV charging points across Europe.
Client needed:
The main obstacle for EV adoption is range anxiety and the availability of charge points. The charge point market is heterogenous and consist of over 700 providers in Germany alone. The quality of service and the availability greatly differ thus hampering the experience for EV drivers. Elvah imtroduced the scoring platform that gives users the ability to determine the quality and availbaility of charge points from their app.
We did:
Hivemind implemented a scoring solution for Elvah that uses real time and historic session data for all charge points in central europe usinhg machine learning based predictions to allow users to dertmine the availaibility and quality of charge points at any given time. Hivemind implemented the training models and an MLOps delivery pipeline and a RESt endpoint for serving near rela time proedictions using Apache Spark, Spark ML and microservices running in Kubernetes in AWS
State of the art software engineering, consulting & developing