A publicly accessible Canadian energy-mapping experiment, built from rapid-development capability created while Screaming Power developed MartinAI with support through Ontario’s innovation ecosystem.
“Canada’s energy transition needs more than isolated datasets. It needs a shared view of where energy is produced, delivered, priced and used, and a practical way for that view to improve over time.”
Canada’s energy transition is creating new demands for accessible, location-aware information. Utilities, governments, municipalities, researchers, communities and innovators increasingly need to understand how generation, transmission, distribution, prices, emissions, weather and emerging loads interact across a vast geography. Yet the relevant information is often scattered across different agencies, formats and applications. Natural Resources Canada’s GEO.ca alone provides access to more than 100,000 geospatial datasets from over 40 contributors, and emphasizes that combining layers can reveal trends and support decision-making. Federal energy-map offerings likewise span separate applications for clean-energy projects, remote-community energy, renewable resources and other infrastructure themes.
GooseAtlas responds to this challenge with a publicly accessible Canadian energy-intelligence and mapping platform at gooseatlas.ca. It brings multiple energy and infrastructure perspectives into a layered geographic experience designed for exploration, education and informed discussion. GooseAtlas is also a public experiment: users can identify gaps, offer feedback and propose new features, with appropriate enhancements intended to become publicly available.
The platform grew from rapid-development capabilities created while Screaming Power developed MartinAI with financial assistance from the Ontario Centre of Innovation’s Critical Industrial Technologies initiative. OCI’s program supports Ontario SMEs developing and commercializing critical technologies and provides access to Technology Development Sites, including the joint University of Ottawa–IBM Cyber Range. The MartinAI project term was recorded as January 15 to July 15, 2026 under an OCI project to assist advanced manufacturing in Ontario, and MartinAI has continued to evolve since.
A public beta map of Canada’s energy and infrastructure landscape, open for exploration and feedback.
Plants, utility territories, prices, carbon, transmission, substations, data centres and weather, on one map.
Built on MartinAI’s design-to-prototype capability, with human review and traceability as governance controls.
The MartinAI environment underwent independent application penetration testing via IBM X-Force and the uOttawa–IBM Cyber Range.
The name reflects the Canada goose: recognizable, distinctly Canadian and encountered across an enormous national landscape. In the same way the goose connects regions through its presence and movement from coast to coast, GooseAtlas seeks to connect information across Canada’s energy geography. The name gives a technically serious platform an accessible national identity while reinforcing its coast-to-coast ambition.
Energy-planning questions rarely belong to a single dataset. A prospective distributed-energy project, for example, may depend on nearby generation and transmission assets, the local utility territory, prevailing rate structures, weather conditions, carbon intensity and competing sources of electricity demand. When those elements are housed in separate tools, meaningful comparison requires specialized knowledge and repeated data gathering.
The Government of Canada already recognizes the value of geospatial overlays: GEO.ca lets users visualize multiple datasets together and discover patterns that support decisions, and Natural Resources Canada’s renewable-energy inventory combines infrastructure, climate and resource layers for planning-level analysis, comparison and research. GooseAtlas extends this integrated-view principle across a broader Canadian energy and infrastructure landscape.
At the time of this case study, GooseAtlas provides layered views of:
This combination lets users move from isolated facts toward geographic context: where assets are located, which systems and territories overlap, and where new research may be valuable. Government precedents demonstrate why these relationships matter, with Natural Resources Canada’s clean-energy maps distinguishing plants by capacity and resource type and its renewable-energy inventory combining wind, solar, hydro and standardized weather information. GooseAtlas is not presented as replacing those authoritative sources; its role is to make relevant Canadian energy perspectives easier to explore together.
GooseAtlas demonstrates a broader outcome of the MartinAI initiative: the ability to move from an energy-information concept to a working, reviewable application in a matter of days. MartinAI is a rapid design, prototyping and deployment layer through which subject-matter experts, analysts, developers and energy-data specialists can collaboratively shape and test new components. It supports shorter requirements-to-prototype cycles and uses human review, traceability and auditability as governance controls, rather than treating AI output as an autonomous final product.
By August 2026, MartinAI was building new dashboards, workflows and tools in days rather than months, while remaining an active beta subject to continuing feature development and feedback. Bring in a subject-matter expert and MartinAI helps build at speed, improving with use. Screaming Power had already developed a proven base of AI tooling over the prior two years, so GooseAtlas could apply that capability to a public-interest challenge: assembling and presenting Canadian grid and energy information in a form stakeholders can see, question and improve.
Rapid development does not remove the need for disciplined security review. The CIT program relationship provided access to the University of Ottawa–IBM Cyber Range as a Technology Development Site for technical validation and feedback, including planned application-security and penetration-testing activities intended to evaluate technology, processes and organizational response, not to provide a blanket security guarantee.
IBM X-Force began an application penetration-test engagement in June 2026, with testing concluding on June 30 and formal reporting proceeding through IBM’s quality-assurance process. Later MartinAI communications stated that independent penetration testing had been completed.
“The MartinAI environment from which GooseAtlas’s rapid-development capability emerged underwent independent application penetration testing through an engagement involving IBM X-Force and the University of Ottawa–IBM Cyber Range.” This does not assert that GooseAtlas is certified, invulnerable, endorsed by IBM or the University of Ottawa, or covered by a continuing security warranty, and it deliberately excludes vulnerabilities, testing methods, system details and remediation information.
GooseAtlas’s present value is informational: it gives users a common geographic view through which they can explore relationships among assets, territories, prices, emissions, weather and demand. Its potential value is broader. Better visibility may help researchers and stakeholders frame questions about DER locations, electrification, storage, local constraints, utility programs, data-centre demand and infrastructure investment.
These are enabling possibilities, not demonstrated planning outcomes. GooseAtlas does not replace utility engineering studies, connection assessments, regulatory filings or authoritative system models. It supports earlier-stage discovery: identifying information gaps, comparing locations and helping diverse stakeholders develop better questions before undertaking formal analysis.
GooseAtlas is intended to strengthen Canadian capacity to understand Canadian energy infrastructure using Canadian-developed technology and an expanding body of Canadian information. This data-independence objective is a strategic aspiration: increasing Canada’s ability to assemble, interpret and innovate with its own energy intelligence, not a claim that every underlying dataset is owned, hosted or governed exclusively in Canada.
Public participation is central to the model:
The next phase is intended to create a pathway for utilities, governments, municipalities, academic institutions and private partners to financially support research that expands Canadian grid intelligence, while the public platform remains the dissemination channel for enhancements judged appropriate for open release.
| Status | Evidence-based position |
|---|---|
| Current capability | Public beta map with multiple Canadian energy and infrastructure layers; an open invitation for feedback and feature ideas. |
| Demonstrated enabling capability | MartinAI-supported rapid prototyping and completed independent application penetration testing. |
| Planned development | Additional datasets, research questions and platform enhancements supported through public feedback and new partners. |
| Future aspiration | Contribute to grid-modernization dialogue, DER innovation, Canadian technology development and stronger national energy-data independence. |
| Not claimed | Engineering-grade grid modelling, universal dataset completeness, regulatory approval, IBM or uOttawa certification, or guaranteed security. |
GooseAtlas invites utilities, governments, municipalities, academic institutions, innovation organizations and prospective sponsors to help build a more connected view of Canada’s energy future: identify missing or outdated public information, propose research questions and priority data layers, provide subject-matter review, support defined research initiatives, and help convert useful findings into openly available enhancements.
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