PH Deck

Users previously relied on less accurate speech-to-text models like Whisper and limited text-to-speech customization, leading to errors in transcription and robotic voice outputs.

Users are currently facing challenges in building efficient voice AI agents due to the need for complex coding skills. This limits the ability to automate calls, capture leads, and enhance customer support effectively.

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 rely on traditional chatbots for customer interaction, which don’t sell, leading to missed sales opportunities and lower conversion rates.

Developers and businesses face challenges in creating use-case specific agents that can robustly perform tasks due to the complexity and limitations of existing Large Language Model (LLM) frameworks, leading to inefficiencies and a lack of customization capabilities.

Developers and businesses face challenges in creating natural language-based interactions for their documents, data, or applications due to the complexity and technical requirements. The drawbacks include the need for specialized knowledge, high development costs, and the time-consuming nature of building personalized LLM (Large Language Models) based agents from scratch.

Users struggle with building safe and trusted Agentic RAG workflows manually

Users need to build intelligent agents but face challenges with existing tools that are not optimized for Go, leading to complex setup, limited scalability, and lack of native Go integration.

Users building multi-channel AI agents face integration challenges across voice and text platforms.

The difficulty of ensuring seamless operation and compatibility hinders agent deployment.

The current situation sales and marketing teams face involves the need to consistently generate and maintain a robust sales pipeline.

Drawbacks: The traditional approach often requires extensive human labor, is time-consuming, and lacks the capacity for 24/7 operation, which limits the potential for continuous revenue generation and engagement with potential clients.