PH Deck

Users rely on manual acceptance testing processes which are time-consuming and prone to human error, leading to missed critical bugs and delayed deployments.

Users face time-consuming and inflexible development processes when creating AI agents, struggling with challenges in integrating various LLMs and workflows using traditional coding methods.

Users manually take notes and manage follow-ups in meetings, leading to inefficient data retrieval and time-consuming post-meeting tasks.

Unproductive meetings leading to wasted time, poor collaboration, and low meeting efficiency

Users face challenges in running and organizing meetings effectively, taking notes, and tracking action items manually

During meetings, participants often struggle to organize their notes, delineate action items, and consolidate key questions effectively; this disorganization can lead to misunderstandings and missed opportunities for collaboration. The drawbacks of this old situation include inefficient note-taking, lack of centralized storage for meeting content, and difficulty in sharing and referring to discussed points.

Users rely on basic chatbots that only handle conversations without driving conversions. Basic chatbots that only handle conversations lead to missed opportunities for sales and customer engagement.

Users struggle with building safe and trusted Agentic RAG workflows manually

Users manually control machinery without AI integration, leading to inefficient processes and higher error rates due to lack of real-time automation.