Leena AI,  which is a conversational AI-backed platform, has announced WorkLM, the company’s proprietary large language model (LLM) built especially for enterprise employee experience. 

WorkLM, built on Leena AI’s breakthrough language model architecture, possesses an unparalleled predictive text generation capability, producing human-like responses in context. 

According to the company, WorkLM will redefine how employees engage with work, delivering a transformative impact on productivity, efficiency and overall work satisfaction.

At the core of WorkLM lies its powerfully unique training dataset composed of 2TB of curated proprietary data acquired by Leena AI over the past 7 years. This imparts WorkLM with an unrivalled grasp of business language and contexts, enabling it to comprehend complex challenges. Leena AI ensures comprehensive enterprise data security and privacy protection, eliminating unintended machine learning access and exposure concerns. 

“With WorkLM’s revolutionary capabilities, we proudly lead the charge in transforming the enterprise employee experience. WorkLM empowers enterprises to achieve unprecedented levels of productivity and efficiency. It is an exciting time as we set out to offer personalised, responsive solutions that will revolutionise the way employees engage with their work, driving remarkable business growth,” Adit Jain, co-founder and CEO of Leena AI, said.

WorkLM is a potent tool to automate and optimise various business tasks. Key applications include:

• Intelligent Virtual Assistant: WorkLM can underpin a smart virtual assistant capable of understanding and executing complex tasks, managing multi-turn conversations and providing real-time information.

• Handling Complex Commands Across Multiple Systems: WorkLM can interpret and execute complex commands across multiple systems and knowledge sources, intelligently building workflows on the fly to streamline operations.

• Identifying Knowledge Gaps and Creating Knowledge: WorkLM can identify knowledge gaps within an organization and generate knowledge from existing non-standard sources such as ticket resolutions and emails.

• Intelligent Robotic Process Automation (RPA): WorkLM, integrated with RPA, can enhance efficiency and effectiveness by understanding and automating routine tasks.

• Business Intelligence from Enterprise Data: WorkLM can analyse extensive enterprise data to provide actionable business intelligence, facilitating data-driven decisions.

• Helpdesk Intelligence: WorkLM can enhance the capabilities of a helpdesk by providing accurate responses and solutions to a wide array of queries and issues, thereby reducing resolution times and improving customer satisfaction.

• Text Analysis: WorkLM can mine insights from large volumes of text data, performing tasks such as identifying trends, sentiment analysis or extracting specific information.

• Email Auto-completion: WorkLM can provide contextually relevant suggestions for email drafting, improving communication efficiency.

• Document Generation: WorkLM can generate reports, meeting minutes and other types of documents based on specific requirements, translating complex instructions into high-quality, human-like text.

• Human-like Autonomous Agents: WorkLM can drive autonomous agents that handle a variety of low-value tasks within an enterprise, freeing human resources for more strategic endeavours.