VTC builds to correct systemic dysfunctions in civic planning through a unified, data-driven approach.
Real Impact: A family must navigate 12+ separate systems to address interconnected needs.
Real Impact: A school district must rebuild enrollment projections that already exist in provincial housing data.
Real Impact: New school trustees spend over 200 hours rediscovering planning decisions made just 3 years earlier.
Real Impact: Community opposition to development increases, delaying critical housing projects.
Unlike traditional solutions that operate in silos, VTC works diagonally to integrate data and align stakeholders across institutional boundaries, creating a coherent view of the entire civic ecosystem.
Connecting school boards to ministries, municipalities to provinces.
Linking education, healthcare, housing, and transportation data.
Synthesizing vertical and horizontal data to empower users and enable true systems-level planning.
Our platforms provide the foundation for integrated civic intelligence.
The SID serves as our foundational data layer. It is not just a database, but a coherent system that links education, health, housing, and mobility data, providing a unified foundation for cross-sector planning.
Tensor-Based Demographic Modeling
Cross-Domain Correlation Engine
Protocol-First Architecture (NANDA, MCP)
Scheduled Synchronized Updates for data integrity
VTC provides a suite of modular tools for planners and citizens, standardizing data into actionable insights.
Public tool helping families navigate school selection.
Optimizes school boundaries and enrollment forecasting.
Connects citizens with healthcare providers.
Plans and distributes healthcare resources efficiently.
Visualizes municipal services and community assets.
Enhances planning decisions with cross-domain data.
Reveals neighborhood qualities for informed decisions.
Streamlines compliance and planning for developers.
We build according to a clear set of beliefs, standardizing a governance model designed for long-range accountability and public trust.
VTC's AI agents are governed by a protocol-first architecture (Model Context Protocol). They trace every output to a visible input, respect institutional boundaries, and allow for oversight and audit. VTC uses AI to assist judgment and clarify tradeoffs, not to predict or overrule public action.
VTC's process is structured around Memoranda of Understanding, co-design workshops, and shared stewardship protocols. VTC builds with future stewards in mind, ensuring its systems last through turnover, elections, and generational change.
VTC's monetization model includes: Licensed Tools (Catchment Maker, SID), Sponsorships for free tools, API/Data Services for commercial users, and Workshops/Consulting engagements. This balanced model supports version control, institutional adoption, and intergenerational durability.
VTC maintains advisory pathways to ensure updates serve long-term institutional memory. Every version ships with documentation, rationale, and change tracking. VTC's tools are built to embed into existing workflows and support local discretion, not centralized control.