Systems built for real operations.
Delivered and active platforms across industrial operations, construction, geospatial intelligence, and economic development.
Aggregate
Aggregate was developed as an operations intelligence system designed to consolidate visibility across a portfolio of production sites representing approximately 13 million tonnes of output. The system brought multiple sites into a more unified operating picture and established the framework for broader national deployment of a platform built on the same model. Beyond the scale of the environment, the project demonstrated the ability to create a level 3 system with level 1 resources — delivering high-value operational structure, visibility, and strategic leverage under tight constraints.
Multi-Site Visibility
Consolidated operational awareness across a distributed portfolio of production sites into a single coherent view.
13M Tonne Production Context
Designed for a portfolio representing approximately 13 million tonnes of annual output across multiple facilities.
Unified Operating Picture
Brought fragmented site-level data into a structured, portfolio-wide intelligence layer for leadership use.
National Deployment Framework
Established the architectural foundation and operational model for broader national rollout across the organization.
Lean-Resource Execution
Delivered enterprise-grade operational intelligence under constrained conditions — a level 3 system built with level 1 resources.
Enterprise Systems Thinking
Applied scalable systems architecture to an industrial environment where reporting typically lacks strategic integration.
Builds operational intelligence, not just interfaces
Creates structure across complex production portfolios
Designs scalable systems from lean conditions
Translates fragmented operations into a coherent strategic view
Delivers high-leverage systems in real industrial settings
FieldSync
FieldSync was developed as an operational platform designed to work alongside an incumbent system with clear limitations. The platform ingested and integrated project data, tracked changes across key workflows, and generated field notifications tied to events such as work order updates and change order requests. Built in the context of a billion-dollar project, the system directly improved coordination and operational efficiency for the delivery team by creating faster visibility into changes that affected field execution.
Incumbent System Integration
Designed to extend and complement an existing project management system where native capabilities fell short of field needs.
Project Data Ingestion
Ingested and normalized project data from existing sources to create a more structured and accessible operational layer.
Field Notification Workflows
Generated timely field notifications tied to workflow changes, keeping delivery teams informed as project conditions shifted.
Work Order Change Visibility
Tracked and surfaced changes to work orders so field teams could respond to updates without delay or manual monitoring.
Change Order Request Tracking
Monitored change order requests and flagged relevant updates, improving coordination between office and field operations.
Billion-Dollar Project Context
Built and deployed in the context of a major construction project where coordination gaps had real operational consequences.
Extends value in environments where existing systems fall short
Creates actionable visibility instead of passive reporting
Improves coordination through operationally relevant signals
Builds systems that support execution in complex live environments
Delivers practical intelligence at project scale
GarageMate
GarageMate demonstrates how AI, repair documentation, and structured workflows can combine into a practical service experience for equipment owners, service networks, and maintenance platforms. The system manages a digital garage of equipment, automatically gathers and indexes machine-specific documentation, and provides guided AI-powered troubleshooting grounded in real manuals and parts diagrams. Once a diagnosis is verified, the system generates a complete repair package — including parts lists with sourcing, required tools, consumables, and a step-by-step job aid.
Digital Garage
Users manage their own equipment library with machine-specific profiles, service history, and operational status tracking.
Documentation Intelligence
The system automatically gathers, parses, and indexes operator manuals, service manuals, parts diagrams, and troubleshooting guides for each piece of equipment.
AI-Guided Diagnosis
Conversational troubleshooting grounded in machine-specific documentation. The AI walks users through systematic diagnostic checks with visible confidence progression.
Verified Fault Identification
Diagnosis moves from unverified through likely to verified, with each check cross-referenced against manufacturer documentation and cited sources.
Work Order Generation
Once diagnosis is confirmed, the system generates a complete repair package with parts, tools, consumables, safety notes, and estimated time.
Parts Sourcing
Simulated internet-assisted sourcing shows part numbers, vendors, prices, and availability status — ready for procurement.
Structured Job Aid
Step-by-step repair instructions written for the specific machine and fault, serving as a practical guide for completing the repair.
Shows how AI copilots can be grounded in domain-specific documentation
Demonstrates RAG-style knowledge systems for equipment-aware workflows
Illustrates guided troubleshooting that builds trust through visible reasoning
Proves work-order generation systems can be intelligent and context-aware
Adaptable concept for automotive, HVAC, marine, agricultural, and industrial service
Groundwork
Groundwork connects guided ideation, project structuring, grant discovery, planning tools, contractor brokerage, and Indigenous-governed intelligence infrastructure into a unified pathway from concept to execution. Rather than treating development as short-term project participation, the platform is designed to build long-term Indigenous enterprise capacity inside a sovereign, community-controlled ecosystem.
AI Project Charters
AI-supported ideation that helps community members shape raw ideas into structured, fundable project charters.
Funding Discovery
Automated grant and funding discovery matched to project scope, eligibility criteria, and community priorities.
Planning Workflows
Structured planning and execution tools that move projects from concept through milestones to delivery.
Contractor Brokerage
Matching and coordination layer that connects projects with qualified contractors and builds delivery consortiums.
Consortium Formation
Tools for assembling multi-party delivery teams around large-scale infrastructure and development opportunities.
BOREAL Intelligence Integration
Direct connection to the BOREAL geospatial platform for regional context, spatial analysis, and opportunity mapping.
Sovereignty-Aware Governance
OCAP-aligned data governance direction ensuring community control over knowledge, data, and decision architecture.
Community Knowledge Architecture
Indigenous-governed intelligence infrastructure that keeps institutional knowledge within community control.
Designs ecosystems, not just applications
Connects software, services, and governance into one operating model
Turns ideas into executable, funded projects
Links opportunity to long-term enterprise formation
Builds platforms grounded in real organizational capability
Embeds sovereignty and data governance into system design
BOREAL
BOREAL brings together First Nations communities, energy infrastructure, major projects, and prospective developments into a unified geospatial environment. The platform was designed to support not just visualization, but spatial reasoning — including the analysis of uploaded project geometry in relation to surrounding assets, communities, and development activity.
Executive-Only Access
Restricted-access architecture designed for leadership-level decision making and strategic oversight.
Regional Intelligence Layers
Layered territorial intelligence spanning communities, infrastructure corridors, and development zones.
Infrastructure + Community Mapping
Integrated view of energy assets, transportation networks, First Nations communities, and active projects.
Prospective Project Upload
GeoJSON upload workflows that allow leadership to evaluate proposed developments against existing regional context.
Spatial Proximity Analysis
Automated analysis of spatial relationships between uploaded geometry and surrounding assets, communities, and activity.
Development-Stage Intelligence
Future-facing layers for mining claims, development permits, and emerging project activity across the region.
Builds intelligence environments, not just interfaces
Connects geography, infrastructure, and decision-making
Designs systems for executive understanding and operational context
Turns regional data into strategic visibility
Relay
Relay is the operational backbone of n40 STUDIO's intake pipeline. It processes inbound communications — emails, form submissions, and voice notes — classifies the intent and urgency of each request, and routes them into structured workflows with the appropriate context attached. Rather than relying on manual triage, Relay creates a disciplined, AI-assisted intake loop that ensures nothing falls through the cracks and every inbound signal receives the right operational treatment.
Multi-Channel Intake
Processes inbound requests from email, contact forms, and voice notes into a unified intake pipeline.
Intent Classification
AI-driven classification that identifies the nature, urgency, and routing requirements of each inbound request.
Structured Workflow Dispatch
Routes classified requests into purpose-built workflows — project inquiries, partnership signals, general questions — with appropriate context.
AI Assessment Layer
Generates structured assessments of inbound opportunities including scope clarity, strategic fit, and engagement readiness.
Operational Context Packaging
Attaches relevant context to each routed request so downstream workflows start with structured intelligence, not raw messages.
Pipeline Visibility
Creates a clear operational view of all active intake — what came in, where it was routed, and what needs attention.
Turns inbound noise into structured operational signals
Automates triage without losing context or nuance
Demonstrates AI-native workflow design at the operational level
Builds intake discipline that scales with volume
Atlas
Atlas is designed to solve a problem most organizations ignore until it costs them: institutional knowledge that lives in people's heads, scattered documents, and tribal memory. The platform ingests operational documentation, system architecture records, decision logs, and project history into a structured, searchable knowledge graph. It gives the studio — and eventually its clients — a persistent, queryable memory of how systems work, why decisions were made, and where institutional knowledge actually lives.
Knowledge Graph Architecture
Organizes documentation, decisions, and system context into a structured graph that surfaces relationships between concepts.
Operational Documentation Ingestion
Ingests system documentation, architecture records, and operational procedures into a normalized knowledge layer.
Decision Log Tracking
Captures the reasoning behind key decisions so institutional knowledge persists beyond the people who made them.
System Map Visualization
Maps the relationships between systems, services, and operational workflows into navigable visual architecture.
Searchable Institutional Memory
Provides natural-language search across all ingested knowledge — making organizational memory queryable instead of anecdotal.
Context-Aware Retrieval
Surfaces relevant historical context when working on related systems or revisiting past decisions.
Turns tribal knowledge into persistent institutional memory
Makes organizational context searchable and reusable
Prevents knowledge loss during team transitions
Demonstrates knowledge-system design for complex environments
Signal
Signal watches the operational environment continuously — monitoring data streams, system health, and activity patterns to surface meaningful signals before they become problems. The system is designed to move beyond passive dashboards and reactive alerting into proactive pattern recognition. It identifies anomalies, trend shifts, and emerging conditions across multiple input streams, then packages those signals into structured intelligence that supports faster, better-informed decisions.
Multi-Stream Monitoring
Watches multiple operational data streams simultaneously, correlating patterns across different sources and systems.
Anomaly Detection
AI-driven pattern recognition that identifies deviations from expected behavior before they escalate into operational issues.
Trend Intelligence
Tracks directional patterns over time — not just point-in-time snapshots — to surface emerging conditions and trajectory shifts.
Structured Signal Packaging
Packages detected patterns into structured, actionable intelligence rather than raw alerts or noisy notifications.
Proactive Awareness
Shifts operational monitoring from reactive (something broke) to proactive (something is changing and needs attention).
Cross-System Correlation
Identifies relationships between signals across different systems that would be invisible in siloed monitoring.
Moves monitoring from reactive alerting to proactive intelligence
Demonstrates AI-native operational awareness design
Surfaces patterns that humans miss across complex environments
Turns data streams into structured decision-support signals
Forge
Forge is the connective tissue of n40 STUDIO's technical operations. It provides a modular, composable toolkit for deploying internal services, connecting systems, and managing the operational infrastructure that supports client delivery and studio operations. Rather than building one-off integrations or managing disconnected tools, Forge creates a coherent internal platform layer — making it faster to stand up new capabilities, connect existing services, and maintain the infrastructure that powers everything else.
Modular Service Deployment
Composable deployment patterns for standing up internal tools and services quickly without reinventing infrastructure each time.
System Integration Layer
Connective infrastructure for linking internal services, external APIs, and operational workflows into a coherent platform.
Internal Tooling Platform
A structured approach to building, deploying, and managing the internal tools that support studio operations and client delivery.
Configuration Management
Centralized configuration and environment management across the studio's service infrastructure.
Operational Service Health
Monitoring and health checks across deployed services — ensuring the infrastructure that powers delivery stays reliable.
Composable Architecture
Designed so new capabilities can be added, connected, or replaced without disrupting the broader operational platform.
Builds platform infrastructure, not just individual tools
Accelerates capability deployment through composable architecture
Demonstrates internal-platform thinking for operational environments
Creates coherent infrastructure where most studios have disconnected tooling
Urban Garden
Urban Garden is a map-based community platform designed to make local food resources visible and shareable. Community members place markers to identify edible plants, fruit trees, personal gardens, foraging spots, and other harvestable goods — building a collaborative, living atlas of neighborhood food access. The platform demonstrates that n40 STUDIO can build softer, civic-oriented, participatory products — not just industrial mission-control systems. It brings together geospatial UX, community contribution workflows, and collaborative data design into an approachable, human-centered experience.
Community Map Contributions
Residents place markers on a shared map to identify edible plants, fruit trees, gardens, and harvestable goods in their area.
Geospatial Discovery
Map-based exploration interface that lets community members discover food resources near them — from backyard gardens to wild foraging spots.
Collaborative Living Atlas
A continuously growing, community-maintained atlas of local food resources that becomes more valuable with every contribution.
Contribution Workflows
Structured submission flows for adding new markers, documenting finds, and sharing garden details with the community.
Neighborhood Food Visibility
Turns invisible local food knowledge — what grows where, what's harvestable, who has a garden — into shared community awareness.
Civic-Oriented Product Design
Designed as a participatory civic tool rather than an enterprise system — approachable, community-first, and human-centered.
Builds community contribution systems, not just enterprise dashboards
Demonstrates geospatial UX for civic and participatory contexts
Shows the studio's range beyond industrial and operational systems
Creates collaborative data products that grow with community participation
Designs approachable, human-centered experiences alongside technical depth