PH Deck

Businesses often rely on human receptionists and sales teams for handling and managing voice calls, which can lead to increased costs, inefficiency, and inconsistencies in lead qualification and customer interactions.

Drawbacks include: increased costs for employing human staff, inefficiency due to human limitations on processing speed, and inconsistencies in interactions due to human error.

Startups require automation and efficient methods to scale and find new clients, but identifying and selecting the most effective AI tools for these purposes can be challenging and time-consuming due to the vast number of options available.

Users struggle to manually estimate software development costs and timelines, relying on guesswork, spreadsheets, or lengthy consultations with developers/agencies, leading to inaccurate budgeting and planning delays.

Users rely on human agents for customer calls and sales, leading to high operational costs and limited availability outside business hours.

Users manually calculate LLM API call costs using spreadsheets or documentation, which is time-consuming and error-prone

AI tool developers struggle to effectively list and sell their tools to small businesses, lacking a streamlined, centralized platform. This leads to difficulties in gaining visibility and transactions.

Developers and businesses often struggle with choosing the right AI API for each task, leading to decreased accuracy and increased costs. Additionally, managing multiple AI APIs results in complexity regarding usage restrictions and cost monitoring.

Users struggle with AI-generated content that lacks human touch and readability

Users might struggle to engage in meaningful and interactive conversations, find AI tools, or streamline their day-to-day activities efficiently.

Web3 companies face high user acquisition costs using traditional marketing platforms, which lack Web3-specific targeting and result in inefficient spending and low conversion rates.