Cloud digital twin platform for building performance and sustainability
Akila operates a cloud-based digital twin platform for real estate and facility management, built on a data-heavy stack (Python, Kafka, Spark, ClickHouse, TDengine, Redis, Kubernetes) designed for time-series ingestion and analytics at scale. The company is actively hiring senior engineers across multiple geographies while tackling backend scaling and latency challenges—a signal of rapid deployment expansion across their 300+ active sites. Projects around model-serving pipelines and sustainability integration suggest a shift toward automated, AI-driven operational insights rather than purely dashboarding.
Notable leadership hires: Marketing Lead
Founded in 2021, Akila provides a cloud platform that monitors and optimizes building performance through real-time data analytics and AI-backed process automation. The product targets building owners, facility managers, and tenants across retail, healthcare, industrial, and office properties; as of the input date, the platform manages over 10 million square meters across 300 deployment sites globally. The company operates across Asia, Europe, and North America with in-house engineering, AI, and R&D teams. Core capabilities include energy management, maintenance optimization, ESG reporting, and digital twin modeling via BIM integration.
Akila uses Python, Java, and Perl for application logic; Kafka and Airflow for data pipelines; ClickHouse and TDengine for time-series storage; Redis for caching; Kubernetes and Docker for infrastructure; and MySQL, SQL for transactional data.
Akila manages over 10 million square meters of property across 300 deployment sites, spanning retail, hospitals, factories, and office buildings globally.
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