TenX

TenX is a technology company that provides enterprise software and AI-driven data solutions. The organisation operates as a service provider, product lab, and investor serving clients across multiple regions and industries, with a stated global presence. TenX develops commercial software products alongside client-specific systems and consulting engagements.

Services and capabilities

• Artificial intelligence and generative AI — development and deployment of AI agents, generative models, and AI/ML pipelines for tasks such as information summarisation and automation.
• Data analytics and platforms — data integration, predictive analytics, and platforms that consolidate dispersed data into accessible information for reporting and decision support.
• Software and product engineering — end-to-end software development, platform engineering using microservices, containers, and API-first architectures, and connected device engineering.
• Cloud and DevOps — cloud architecture consultation, automation of delivery pipelines, and management of cloud environments for enterprise applications.
• Workflow and process automation — automation of operational workflows to reduce manual tasks, improve data quality, and support compliance requirements.
• Advisory and strategy — technology advisory, business diagnosis, and guidance on software implementation and AI Centres of Excellence.

Industry focus

• Telecommunications — network operations support, consumer data analysis, and AI applications to improve operational agility and productivity.
• Banking and insurance — CRM and campaign optimisation, fraud detection support, and customer retention analytics; includes a CRM product referenced as Connect360 for banking scenarios.
• Healthcare and biotech — projects involving clinical or medical content summarisation into learning formats, healthcare automation to improve patient experience, and biosecurity platforms for food supply chains.
• Manufacturing — workflow automation and process optimisation, including predictive maintenance and resource efficiency for large manufacturers.
• Sports technology — AI-driven automation and performance analytics for sports tech applications.

Technology and delivery approach

Work is delivered through a combination of systems integration, data platform development, automation of delivery pipelines, and software engineering practices. Recurring technical themes include platform-agnostic AI agent development, generative AI applications, API-first and microservices architectures, containerisation, cloud-native deployment, and DevOps automation. Engagements commonly involve building data pipelines, deploying AI/ML models, integrating heterogeneous data sources, and establishing operational processes such as Centres of Excellence or managed cloud operations to support ongoing use and scaling.