PH Deck

Users managing multiple Kubernetes clusters face fragmented tools and manual processes, leading to high operational complexity and inefficiency in upgrades, issue diagnosis, and remediation.

Users previously relied on separate tools for image and video creation, leading to fragmented workflows, higher costs, and time-consuming processes.

Users managing multiple Kubernetes clusters struggle with traditional dashboards that lack AI-driven insights and do not support multiple AI providers, leading to inefficiencies in troubleshooting and resource optimization.

Users manage accounting and tax compliance through time-consuming manual processes, leading to human errors and compliance risks

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

The current situation involves managing access and permissions for AI-driven applications. Users need to ensure that AI models interact safely with sensitive data and external APIs. The drawbacks of this old situation include the need for developers to build complex access control systems from scratch, which can be resource-intensive and prone to errors.

Users previously had to manually search across multiple platforms to find AI tools, leading to time-consuming and inefficient discovery processes with scattered and unverified information.

Users want to convert websites into PDFs for offline access.

Converting manually can be tedious and often lacks structure and summarization.

Users struggle with traditional, generic team-building exercises that lack engagement and real-world relevance, leading to ineffective corporate training outcomes.

Car dealerships and auto sales teams rely on manual sales processes and basic CRM tools, leading to inefficient lead follow-ups, delayed decision-making due to lack of real-time insights, and lower revenue from missed opportunities.