HCLTech Integrates its AI Platform ‘AI Force’ with Google Gemini

HCLTech has integrated its Generative AI platform, HCLTech AI Force with Google’s AI model Gemini. This integration aims to help enterprises scale GenAI opportunities beyond the proof-of-concept stage without incurring high costs.

The HCLTech AI Force platform, powered by  Gemini models includes industry solutions such as intelligent asset tracking, improving material movement within plants for manufacturing, and a core Production Lifecycle Management (PLM) solution.

Furthermore, it also supports augmented network automation and net-zero intelligence operations for mobile providers to drive down energy consumption.

“Enterprises often struggle to scale GenAI opportunities beyond the proof-of-concept stage without incurring high costs. HCLTech AI Force enables faster time-to-market and higher efficiencies in the product engineering life cycle,” said Vijay Guntur, chief technology officer and head of ecosystems, at HCLTech.

“Our AI-driven approach to software engineering, support, and maintenance provides an efficient and effective alternative for modernizing engineering processes using GenAI,” he added.

 Overview of AI Force

AI Force is  HCLTech’s proprietary generative AI platform that provides innovative AI-driven solutions across various industries. It focuses on automating complex tasks, generating insightful data analysis, and enhancing decision-making processes through AI.

It enhances the product engineering life cycle by enabling faster time-to-market and higher efficiencies. This Gen AI platform injects intelligence into various aspects of software development and engineering workflows while improving efficiency and developer experience.

It offers a customizable suite of GenAI-based solutions that help modernize engineering processes, and provide an efficient alternative for software engineering, support, and maintenance. Additionally, HCLTech AI Force integrates robust security and governance measures to ensure secure innovation and growth at scale, prioritizing responsible AI adoption.