PIPP.AI
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About
PIPP.AI is an enterprise-grade Proptech platform designed for owners and occupiers managing significant real estate portfolios, specifically those with 20 or more sites or over $200 million in Assets Under Management (AUM). The platform's primary purpose is to eliminate the fragmentation caused by disparate spreadsheets and isolated SaaS silos by creating a unified "Dataverse." This centralized information layer facilitates what the creators call "Data Democracy," ensuring that all stakeholders have secure and transparent access to a common data model, which is essential for effective governance and sophisticated AI implementation. The tool operates through a modular suite of specialized applications designed for different departments, including investments, maintenance, and sustainability. For example, modules like ADAMM manage asset databases, while MATT handles maintenance task tracking and SERGII focuses on ESG reporting. These apps are built to integrate directly with the Microsoft ecosystem, specifically leveraging Microsoft Copilot and Power BI to surface actionable insights from property-level data. A unique feature of the platform is that its applications are "code-exposed," allowing enterprises to customize the logic to fit their specific operational requirements while maintaining a standardized data architecture. PIPP.AI is best suited for institutional investors, C-suite executives, and facilities managers within the commercial real estate sector. For instance, investment teams use the platform to manage feasibility studies and executive approval gates, while risk officers utilize specialized modules to proactively monitor compliance and safety hazards. The platform is particularly strong for organizations prioritizing sustainability, as it features a patented process for mapping United Nations Sustainable Development Goals (UNSDGs) across an entire property portfolio to track environmental impact automatically. What sets PIPP.AI apart from standard SaaS solutions is its focus on data independence and ownership. By keeping information within the client's own Microsoft environment, it prevents intellectual property from being used to train third-party AI models. The platform utilizes an "Application Platform as a Service" (APaaS) model, which offers unlimited user access and pricing that scales based on portfolio metrics rather than seat counts. This approach is intended to deliver a return on investment within 12 months by streamlining operational efficiency and improving portfolio returns.
Pros & Cons
Offers unlimited user access without the need for per-seat licensing fees.
Ensures data sovereignty by keeping all information within the client's own Microsoft environment.
Features a patented process for automatically mapping UNSDGs across property portfolios.
Provides code-exposed applications that allow for deep enterprise-level customization.
Integrates seamlessly with Power BI for advanced real-time data visualization.
Targeted exclusively at large portfolios with $200m+ AUM or 20+ sites.
Requires a Microsoft-centric environment to fully utilize the Dataverse capabilities.
Pricing is not transparently listed and depends on specific portfolio metrics.
Use Cases
Institutional investors can use modules like FIONAA and APRILL to manage feasibility studies and executive approval gates for new acquisitions.
Facilities managers can automate maintenance tracking and vertical transport risk assessments using the MATT and VERAA modules.
Sustainability officers can streamline ESG reporting and real-time energy monitoring across multiple properties using the SERGII and REMII tools.
Marketing teams can centralize property collateral and leasing image libraries through the MACC and OBIEE modules for faster distribution.
Compliance officers can proactively mitigate safety risks and track legionella assessments using specialized risk management apps like CHRISS and LARAA.
Platform
Task
Features
• automated esg reporting
• microsoft copilot integration
• digital twin data models
• code-exposed customization
• real-time energy use analysis
• patented unsdg mapping process
• modular proptech application suite
• microsoft dataverse integration
FAQs
How does PIPP.AI handle user licensing for large organizations?
The platform utilizes an APaaS model that provides software access for an unlimited number of users across your organization. This avoids the cost barriers associated with traditional per-user or seat-based subscription models.
Can the PIPP.AI applications be customized for specific business needs?
Yes, all apps are code-exposed, allowing your technical team to customize the software for your specific business requirements. This ensures you can maintain your unique operational processes while using a standardized data model.
What are the minimum portfolio requirements to use PIPP.AI?
The platform is designed for enterprise-grade portfolios, specifically targeting owners or occupiers with more than 20 sites or over $200 million in Assets Under Management (AUM).
How does the platform integrate with Microsoft tools?
PIPP.AI is built to work within the Microsoft Dataverse, which allows it to unlock and enhance the value of tools like Microsoft Copilot and Power BI for data visualization and AI insights.
Does PIPP.AI help with sustainability and ESG reporting?
Yes, the platform includes a patented process for automatically mapping UNSDGs across the common data model. It features dedicated modules like SERGII and REMII for real-time energy analysis and ESG status notifications.
Pricing Plans
APaaS Model
Unknown Price• Unlimited users across the organization
• Microsoft Dataverse integration
• Code-exposed customization
• Reduced fee for each additional app
• Scalable based on portfolio metrics
• Access to specialized Proptech app suite
• Full data ownership and governance
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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