TenX

TenX was hired by Agrilift, a precision farming platform, to develop deep learning models using remote sensing technology. The team of 6-10 employees from TenX worked as a fractional Chief Data Scientist, developing numerous deep learning models. In addition to the technical development, TenX also provided management support, assisting Agrilift with thought leadership and strategic objectives. The company was chosen for its high ratings, geographical proximity, cultural fit, and value for cost. The engagement has been ongoing since the start of their agreement.

In another project, TenX worked with a global leader in golf data and AI to innovate across multiple data and AI-driven projects. The scope of work included data science and analytics engineering, mobile development, and backend and web engineering. TenX delivered sophisticated statistical models for player performance analysis and predictive algorithms. They also developed innovative approaches to reduce hardware dependencies, increasing the accessibility of their analytics capabilities. TenX was chosen for this project due to their competitive pricing, cultural fit, and value for cost.

For a financial services company, TenX was tasked with scaling their AI proof of concepts. The team from TenX developed AI accelerators to support industry-aligned use cases, including the development of prompts, leveraging multi-agent frameworks, data ingestion and standardisation for Gen AI, and scaling strategies. The company chose TenX for their skills, budget-friendly pricing, and good value for cost.