The Pod AI tool is a revolutionary platform engineered specifically for B2B sales professionals. The primary goal is to boost productivity and streamline sales workflows.

Key Features:

  • GPT-Powered Workspace: The tool offers a unique workspace, backed by GPT, enabling account executives to manage their sales pipeline more efficiently.
  • AI-Generated Playbooks: Tailored recommendations are provided on stakeholder engagement, assisting sales teams to finalize deals swiftly.
  • Unified Workflows: Pod centralizes various tasks like CRM updates, account plans, and note-taking, offering an intuitive workspace where sales activities are organized efficiently.
  • Collaboration and Efficiency: The tool facilitates internal collaboration, helping sales executives to finalize deals faster by reducing administrative tasks.
  • Pipeline Management for Leaders: Sales leaders can swiftly run pipeline reviews, giving them more time for team coaching. Additionally, revenue operations teams benefit by rapidly onboarding new sales reps and ensuring adherence to processes.
  • Extended Free Trial: Pod is offering a six-month free trial to members of the Product Hunt community.
  • Resources: The platform’s website boasts a blog and resource center, aiding users in refining their sales skills and staying updated.
  • Trusted Platform: Supported by renowned investors, Pod has built a reputation among sales teams as an effective tool to consistently achieve sales quotas.
  • Pod for Institutions: Pod is not just a tool for sales; it’s also a groundbreaking platform for academic and career development. It serves as a bridge connecting academia, students, alumni, and companies, aiming to ensure talent reaches its zenith.
  • Digital Campus: Pod facilitates digitization of career development and placements for campuses and universities.
  • Student Empowerment: Pod is instrumental in enhancing student employability and assisting them in identifying optimal career paths.


The AI-POD project is a separate initiative aimed at addressing the obesity crisis in Europe, particularly the associated risks of cardiovascular diseases (CVD).

  • Objective: The primary goal is to leverage AI for risk prediction and clinical decision-making concerning obesity-triggered CVDs.
  • Data Integration: AI-POD amalgamates clinical, laboratory, and imaging data, transforming it into actionable health insights.
  • Outcomes: The project’s key deliverables include an AI-driven risk score and a Clinical Decision Support System (CDSS). A companion mobile app, the Citizen App, interfaces with the CDSS, empowering users to proactively manage their health.
  • Engagement and Outreach: To stay abreast of the project’s progress, individuals are encouraged to follow #aipod on Twitter and visit the project’s official website, AI-POD.

AI-POD Project Facts:

  • Coordinator: Universitätsklinikum Bonn (UKB)
  • Number of Partners: 11
  • Duration: May 1, 2023 – April 30, 2027
  • Funding: € 5,298,740.00
  • EU Grant: The AI-POD project is funded by the European Union’s Horizon Europe research and innovation programme. However, opinions expressed belong solely to the authors and not necessarily to the European Union or HaDEA. The granting bodies do not assume responsibility for them.

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