PH Deck

Users manage cloud costs manually, leading to inefficient resource allocation and overspending due to lack of real-time optimization.

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 previously needed to manually create learning plans or use non-AI platforms, facing time-consuming setup and lack of personalization, leading to inefficient progress tracking and engagement.

Users need to gather news from multiple platforms and manually filter content, which is time-consuming manual filtering and limited language options for global audiences.

Users aiming to launch an AI tools marketplace face high development costs, technical complexity, and long timelines when building from scratch.

Currently, users face challenges in integrating various AI models into their applications. The old solution involves manually integrating these models, which can be time-consuming and complex. A significant drawback of this old situation is the need to manually manage and integrate multiple AI models, leading to increased costs and possible integration errors.

Users manually manage multi-cloud infrastructure, leading to high costs, inefficiency, and difficulty reducing carbon footprints due to lack of automation and real-time optimization.

Industries manage energy, water, and emissions with manual processes or fragmented tools, leading to high operational costs, inefficient resource allocation, and slow progress toward net-zero goals.

Users rely on manual stock research and basic tools, leading to slower decisions and missed opportunities due to inability to process complex market data efficiently

Users rely on computationally intensive and time-consuming processes using expensive local hardware for 3D rendering, leading to high costs and limited accessibility for non-professionals and small teams.