PH Deck

Currently, users rely on traditional methods to manage marketing campaigns, which involve manual processes and the need for larger teams. These methods are often time-consuming and less efficient.

Users rely on manual or fragmented tools for tasks like writing, SEO, and data processing, leading to inefficient workflows and lack of unified automation.

Users rely on manual execution of repetitive marketing tasks such as social media monitoring, influencer outreach, and DM campaigns, which leads to inefficiency, time consumption, and scalability challenges.

Users manually handle repetitive marketing tasks like blog posts, ad campaigns, SEO adjustments, and social media scheduling, which consumes significant time and reduces focus on strategy and creative efforts.

Users struggle to find suitable and authentic AI agents for their specific needs, leading to inefficiencies in operations, task automation, and delivery of complex solutions.

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 need to keep up with rapidly evolving AI tools and applications in marketing but traditional marketing certifications lack AI integration, leaving professionals unprepared for modern demands.

Users rely on manual customer support and basic chatbots, leading to inefficient customer engagement processes and high operational costs.

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.

In the current situation, users such as sales, RevOps, and go-to-market leaders rely on hiring human workers for their revenue team tasks. This often involves hiring hassles and incurs significant costs, potentially reaching $10,000's.