Current projects

Table of Contents

SYM-TRIO-SYS

Client Industry

● Controlled Environment Agriculture (Vertical Farming)
● Renewable/Distributed Energy & BIPV (Building‑Integrated Photovoltaics)
● Circular‑Economy Infrastructure across the Water–Food–Energy nexus

Use Cases

● Vertical‑farm operators producing leafy & micro greens, vegetables, and berries
● R&D partners running crop programs (e.g., rice, grain, plus two TBD initiatives)
● Sustainability‑focused investors seeking scalable eco‑park models

Project Definition & Scope

This project is a proof-of-concept and feasibility study for a simple, closed-loop campus that links water, food, and energy. The idea is a main geodesic dome connected by glass greenhouse tunnels to 8–12 smaller domes. Power comes from a mix of renewables: solar panels integrated into glass and cladding, plus wind and geothermal. Heat is shared and reused across the domes to cut energy waste. An R&D stream runs alongside production to test crops and improve methods.
The layout is a large central dome with smaller satellite domes for production and research; early thinking shows the big dome could be about 250–370 ft in diameter and the smaller ones about 100–192 ft, but final sizes will be set with the structure and solar vendors after checks and modeling. Key spaces include:

  • Operations hub for seeding, germination, water storage and cleaning (ozone), fertigation, CO₂ and environment monitoring, and day-to-day supplies.
  • Seedling and grow rooms that are at least 10,000 sq ft each with stacked racks around 30 ft high and automated hydroponics (the number and width of stacks depend on the chosen tech).
  • Post-harvest rooms for chilling, harvesting, and packing (about 5,000 sq ft).
  • External systems for chillers, rainwater collection, shipping and receiving, and waste handling.
  • Satellite domes for production (about eight) and research (about four).

Two partner tracks will firm up the design and numbers. The geodesic-dome partner will check structure and integration with farming, plan heat-flow paths (LEDs, backup generators, geothermal), work with the solar partner, and produce a cost and schedule. The BIPV
partner will confirm what solar surfaces are practical on curved or trapezoid panels, compare
glass vs cladding, model expected energy per day under normal daylight, fit the system to the dome layout, and provide cost and schedule.
The outputs we expect are: a clear concept that blends structure and energy, model ranges for energy yield, a simple financial model (TCO/ROI), an outline timeline, and a plan to run the proof of concept. This phase covers concept and feasibility only—design, modeling, vendor checks, and PoC planning

Fusion

Client Industry

● Energy management for data centres (including quantum)
● Large commercial buildings and campuses
● Large industrial facilities
● Microgrids and net‑zero communities

Use Cases

● Net‑zero communities
● Large commercial entities
● Large industrial sites
● Data centres
● Microgrids

Project Definition & Scope

Fusion is an AI energy management platform that brings non‑renewable sources (like grid power or on-site generators), renewables (solar, wind), and batteries into one simple system. It gives a single view of all energy flows and makes smart choices to cut cost, keep the power reliable, and lower emissions.
It looks ahead using forecasts for demand, renewable output, and battery levels, so it can act before issues show up. It also watches everything in real time, sends clear alerts, and can adjust controls on its own when needed.
This phase will deliver a proof‑of‑concept and the core features needed for a pilot at a real site or a digital twin. The platform will include:

  • connectors for common protocols and APIs (e.g., SCADA/Modbus, building systems, inverter and battery APIs);
  • a clean data model with dashboards that show load, generation, storage, cost, and emissions in one place;
  • simple but strong forecasting for demand, solar/wind output, and battery state; ● an optimization engine that balances cost, reliability, and sustainability (e.g., peak‑shaving, time‑of‑use shifting, backup readiness);
  • control strategies for charge/discharge, load shifting, and generator dispatch with safety limits;
  • alerts, audit logs, and role‑based access so teams can act fast and safely; ● reports that track savings and emissions avoided, with easy export for finance and ESG teams;
  • a pilot plan with success metrics (e.g., % cost savings, % peak reduction, % uptime resilience).

PEACE 4

Client Industry

● Climate adaptation and disaster risk management
● International development and public sector (UN, governments)
● Environmental research and high‑performance computing

Use Cases

● UN agencies and governments that need climate and disaster modeling
● Global South partners that need fair access to powerful computing
● Universities and labs working on climate, water, and environment models
● NGOs and donors building early‑warning and resilience programs

Project Definition & Scope

PEACE 4 builds a shared computing hub in Canada so countries and research teams can run heavy climate and disaster models even if they do not own large hardware. The goal is simple: make high‑end computing and data tools easy to access and fair to use, so planning, early warning, and recovery get faster and better.
The concept is a neutral, “AI for good” campus with a data centre, training space, and partner offices. It runs on clean energy and uses the cold climate to help with cooling. It is hosted in Canada but serves the world, with a strong focus on Global South users. An example setup from the concept paper points to about 2,000 GPUs in about 20,000 sq ft, drawing about 17–20 GWh per year, with off‑grid or low‑carbon power; final sizing will be set after site and vendor studies.
How partners work together is clear: government hosts and co‑funds; a UN partner such as UNU‑INWEH helps keep the project open, fair, and focused on impact; private sector provides hardware, software, and operations; universities and labs bring models, data, and talent; donors and investors support scale‑up. Key roles include:

  • setting simple, fair access rules and data‑sharing terms;
  • running training and capacity‑building for partner countries;
  • connecting to global datasets and early‑warning systems;
  • reporting results in plain numbers that matter (jobs run, hours delivered, hazards modeled, time saved).

This phase covers the concept and pilot: choose a site and power plan, define the network and security design, draft the governance model, model typical workloads, stand up a pilot
node, and sign MOUs with core partners. It also includes a simple business case and a plan to raise funding from public, private, and international sources.

National Housing Strategy Transformation Consortium (NHTC)

Client Industry

● Public sector housing (federal, provincial, municipal) and public–private partnerships
● Modular and prefab construction, logistics, and building product manufacturing
● Affordable, transitional, Indigenous, student, and purpose‑built rental housing

Use Cases

● Government of Canada (BCH), provinces, and municipalities seeking large‑scale delivery
● Indigenous governments and housing authorities
● Non‑profit and affordable housing providers, REITs, and institutional owners
● Developers needing fast, code‑compliant supply on serviced land

Project Definition & Scope

This project builds a national, industrial way to deliver homes at scale using modular and prefabricated methods. The goal is to help meet the Build Canada Homes target by creating a single delivery model that brings together land, capital, factories, logistics, and standards so homes can be produced quickly, at a predictable cost, and with consistent quality.
The consortium works in three tiers: primary partners handle sites, financing/bonding, and manufacturing; secondary partners include rental operators, regulators, and logistics; tertiary partners manage sales, mortgages, insurance, and legal. Together, they line up supply, approvals, and buyers so units move from factory to move‑in‑ready as a repeatable process.
The initial commitment targets up to 200,000 units per year with a build cost target near $130 CAD per sq ft (to be confirmed per format and location). Delivery starts within about three months of approval and first purchase orders, with the aim to deliver a move‑in‑ready unit within about two weeks once a serviced, platform‑ready site is available.
The rollout follows three steps. First is a pilot that assembles 100–200 units across detached, townhouse, mid‑rise, and high‑rise formats to prove logistics, certification, costs, and municipal cooperation (about four months). Second is an assembly plant in the GTA/York Region of 100,000+ sq ft that imports certified modules for indoor assembly, targets 100–150 units per day, and ships just‑in‑time to serviced sites (about sixteen months). Third is a national manufacturing network that makes structural panels and integrates mechanical, electrical, plumbing, and HVAC in Canada, reducing imports and creating jobs; the target is 40,000+ units per year per manufacturing cluster within about sixty months.
The operating rules are simple and strict so the system can scale: use pre‑approved catalogues of CSA/UL‑certified units and building plans; secure public land and prioritize service connections; fast‑track permits and inspections (e.g., two‑week targets); and align
tax relief and development charge relief where policy allows. To keep quality high and speed up site work, the model relies on standing certifications (e.g., CSA A277/Z240) and third‑party inspections.
The scope for this phase is to confirm standards and pricing bands by build type, set the site‑selection criteria, secure partner MOUs, define the plant layout and staffing plan, finalize the logistics playbook (rail, road, crane, hookups), and draft agreements with cities for fast approvals and inspections. It will also map funding stacks across CMHC/BCH, CDEV, CGF, BDC and provincial/municipal programs, and define the purchase pathways for government and non‑profit buyers.
The government ask is clear and practical: recognize the consortium model as an accepted way to meet BCH goals; confirm that imported, unassembled modules finished and certified in Canada count toward BCH; offer a letter of support so regulators and financiers can act; and coordinate access to serviced public land where possible.
Key risks are known and have straightforward mitigations. Financial risk is reduced through phased capital and loan guarantees; property‑price risk is managed by fixed‑price or indexed contracts and a focus on non‑market supply; immigration and regional demand shifts are handled with flexible formats and relocatable units; and regulatory delays are addressed through federal‑provincial alignment and clear service‑level timelines. To measure success, the program will track units produced per day, time from order to key handover, cost per sq ft, share of non‑market units delivered, and job creation in Canadian plants.

Edge Sat

Client Industry

● Space and Earth observation
● Emergency management and environmental monitoring
● Research, universities, and public sector programs

Use Cases

● Governments and NGOs that need fast alerts for fires, floods, storms, and spills
● Agriculture, forestry, mining, and maritime groups that need timely field intelligence
● Universities and labs that want a shared small‑sat platform for space R&D

Project Definition & Scope

Edge Sat is a small‑satellite project that does data processing in space so users get faster, cleaner information on the ground. The idea is simple: capture images or signals, run AI models on board to extract what matters (for example, smoke plumes, flood extent, ship
positions, crop stress), and send down only the useful results. This cuts bandwidth and cost, lowers latency, and makes the system more resilient when ground links are weak.
This phase designs and launches a pathfinder satellite to prove the full stack from sensor to insight. The bus will be a 3U–6U class CubeSat or similar small platform with an edge‑compute module, a primary payload (for example, multispectral or thermal camera, or AIS/IoT receiver), and radios for command, telemetry, and data downlink. The ground segment will include a simple mission operations center and a web API so partners can task the satellite and pull results into their tools. The flight software will run compact models for common tasks and allow over‑the‑air updates so new use cases can be added after launch.
We will deliver:

  • a clear mission plan with target use cases and sample data products; 
  • system design for the satellite, payload, radios, and ground segment; 
  • a working edge‑AI pipeline that can detect events and compress outputs before downlink;
  • a pilot operations plan covering tasking, data delivery, service levels, and user support;
  • a launch and licensing plan that follows debris‑mitigation, spectrum, and remote‑sensing rules;
  • a budget, schedule, and partner list for scale‑up after a successful demo.

Digital Health Passport

Client Industry

● Hospitals, clinics, and integrated health networks
● Public health agencies and immunization programs
● Laboratories, pharmacies, and diagnostic providers
● Health insurers and third-party administrators
● Employers with occupational health/compliance needs
● Travel, education, and event operators requiring health verification
● Universities, research institutes, and clinical trial sponsors
● NGOs and cross-border health initiatives

Use Cases

● Patient-controlled health wallet (immunizations, allergies, meds, lab results, care plans)
● Verifiable credentials for vaccination, fit-to-work/fit-to-travel, and lab attestations (QR/NFC)
● Chronic disease programs (diabetes, cardiac, respiratory) with remote monitoring and telehealth
● Emergency access “break-glass” profile (minimal, privacy-safe)
● School and campus health records (student onboarding, international learners)
● Clinical research: eConsent, ePRO, and data-donation with granular permissions
● Cross-jurisdiction portability (provincial, national, international) with offline verification
● ESG/impact reporting for population health programs (opt-in, de-identified)

Project Definition & Scope

Goal (PoC + Feasibility): Prove a privacy-preserving, portable Digital Health Passport that issues, stores, and verifies health credentials linked to source records—interoperable with existing EHR/LIS/pharmacy systems and usable across borders, online or offline.