CaPSCi

Construction Project
Supply Chain Infrastructure™

The CaPSCi architecture is a technology framework for the secure exchange of information between diverse fragmented ecosystems in real estate build and operation. BidForms pioneered CaPSCi from the perspective that property operation is predicated on details defined in build.

CaPSCi establishes on-demand infrastructure for secure construction to property exchange of data between the physical asset, contractors, service providers, industry and technologies supporting build and operational management.
 

The CaPSCi architecture is a technology framework for the secure exchange of information between diverse fragmented ecosystems of real estate build and operation. BidForms pioneered CaPSCi from the perspective that property operation is predicated on details defined by build.
Property Service Provider Ecosystem
Property Service Provider Ecosystem
CaPSCi establishes on-demand infrastructure for secure construction to property exchange of data between the physical asset, contractors, service providers, industry and technologies supporting build and operational management.
 

How Build Data is Leveraged in Property Operation0:52

Explore the complex relationships between property data and its service provider ecosystems.

Initial Objectives

CaPSCi research was envisioned from a unique perspective of the physical property’s deep data and its service provider ecosystem. We started with a simple goal of determining methods and techniques for connecting contractors to property and industry data. The objective was improving service provider efficiency and elimination of human error in construction and related services.

However, overcoming barriers to the digitization of property operation requires a deeper understanding of the industry’s fragmented ecosystem, stakeholder independence, distributed data sources and complexity in how property data originates, is consumed and creates value.

Universal Connectivity

Information exchange in build and property operations involves multiple independent stakeholders. Autonomy requires the digital exchange of information between the physical property, external service organizations and personnel, regulators and supply chains.

Effectively connecting stakeholders digitally required a secure unified solution property and construction technologies could leverage to identify physical assets, build and service projects to data and people in cyberspace.

The lack of corporate cohesion in real estate mandated identity tech be individually acquired and managed. Emerging demand for AI data provided validation of this individual management hypothesis.

Information exchange in build and property operations involves multiple independent stakeholders. Autonomy requires the digital exchange of information between the physical property, external service organizations and personnel, regulators and supply chains.
Property Data Management
Effectively connecting stakeholders digitally required a secure unified solution property and construction technologies could leverage to identify physical assets, build and service projects to data and people in cyberspace.

The lack of corporate cohesion in real estate mandated identity tech be individually acquired and managed. Emerging demand for AI data provided validation of this individual management hypothesis.

Contractor Data Use-Cases

Contractor consumption and generation of data provides an example of information flow between supply chain and a property. Nearly every project begins with the manual discovery and processing of property information. Project scope and jobsite details define what information is required from supply chains [who use it later for physical deliverables]. Upon project completion, contractors need to exchange digital deliverables directly with the physical property.

Digitization of build and property operations requires comprehensive security technology that’s portable between property and industry data, projects and stakeholders whether it’s new construction, commercial repairs and upgrades or residential maintenance.

Contractor consumption and generation of data provides an example of information flow between supply chain and a property. Nearly every project begins with the manual discovery and processing of property information. Project scope and jobsite details define what information is required from supply chains [who use it later for physical deliverables]. Upon project completion, contractors need to exchange digital deliverables directly with the physical property.
Contractor Data Use-Cases
Communication between project stakeholder is much broader including everything from approvals, decision points and invoicing to aligning schedules between management, tenants and local suppliers. Individual credentials allows technology to align data and property-project specific stakeholders autonomously.

Digitization of build and property operations requires comprehensive security technology that’s portable between property and industry data, projects and stakeholders whether it’s new construction, commercial repairs and upgrades or residential maintenance.

Broader Use-Case

Communication between project stakeholder is much broader including everything from approvals, decision points and invoicing to aligning schedules between management, tenants and local suppliers. Individualized credentials allows technology to align data and property-project specific stakeholders autonomously.

Market Barriers

Challenges to the digitization of property operation extends to market demand and adoption of technology. Successfully navigating the barriers to market adoption required a clear understanding of each data use-case including the economics and expectations of technology.

The CaPSCi framework resolved barriers to information exchange and technology adoption. Individualized credentials allow users to shift between multiple platforms through a single interface, dynamically integrate project data and autonomously exchange static detail.

Fragmented property operations, diverse stakeholders and the depths of data flow complexity collided with user expectations. However, AI demand for private data validates the need for digital credentials, individual ownership and management of data, access and autonomous exchange.

White Papers Construction to Property Data Exchange

Ecosystems

  • Fragmented
  • Diverse
  • Independent
  • On-Demand
  • Direct Expense
  • Revenue Expense
  • Backend Operations
  • Frontend Operations
Digitization of Build

Stakeholders

  • Independence
  • Small-Medium Size
  • Low Margins
  • High Expense
  • Admin Overhead
  • Low Tech Use
  • Interest
  • Cost
Digitizing Physical Property Deep Data

Data Flow/Value

  • Complex Use-Cases
  • Distribution
  • Destination(s)
  • Intermediaries
  • Augmentations
  • Integrations
  • Documentation
  • Private vs Public
Digital Identity Access Management

Market Demand

  • Portable
  • Flexible
  • Affordability
  • Transparent
  • Reduce Process
  • Dynamic
  • Zero Learning Curve

Data Relationships

property, management, contractors and supply chains
 

Project, Contractor & Industry Data

Information required for build, management and servicing property emerges from wide range of data sources distributed throughout industry.

Project data and supply chains emerge automatically with every property upgrade and improvement through bid and contractor selection processes. The scope of work may define certain parameters but selected contractors further define material sources and information included in the project’s physical and digital deliverables.

The digital deliverables of build, improvements, maintenance even systems operation represent original data sources. Information collected from manufacturers and suppliers passed through contractors has sustainable value in the long term service and maintenance of enhancements.

Information required for build, management and servicing property emerges from wide range of data sources distributed throughout industry.

Project data and supply chains emerge automatically with every property upgrade and improvement through bid and contractor selection processes. The scope of work may define certain parameters but selected contractors further define material sources and information included in the project’s physical and digital deliverables.

Data Relationships - property, management, contractors and supply chains

Supply chain infrastructures emerge autonomously
through the normal course of business

The digital deliverables of build, improvements, maintenance even systems operation represent original data sources. Information collected from manufacturers and suppliers passed through contractors has sustainable value in the long term service and maintenance of property enhancements.

Data Requirements in Property Services

A simple request for property service involves a combination of property, industry and private data sources to create pricing deliverables before the physical work can proceed.

To a contractor, information on property, build and service projects can pass through four administrative processes before work on physical deliverables begin. Property improvements and maintenance are exhaustive processes that consume 35% of our time in administrative tasks. Data and human error cost considerable more.

Simple Diagram Contractor Data Flow in a Construction Project
Improved administrative efficiency is a shared industry objective. It’s also a common effect of digitizing physical assets and routine communications between project stakeholders. Data-driven efficiency gains up to 80% are measured at process levels where digitally accessible data is leveraged by technology.

Digital credentials are seamless to users and provide enhanced transparency between project stakeholders, technology platforms and industry supply chains.

Learn more about contractor AI data and flow
Learn more about property AI data, its value and utility