Portfolio graph
Assets, child portfolios, jurisdictions, stakeholders, documents, scores, and project history are modeled as connected operational data.
Technology
The intelligence layer behind complex portfolio action
Claira is built as a configurable decision platform, not a single-purpose solar tool.
The platform combines portfolio data, scoring rules, financing program logic, geospatial context, solar analysis, document workflows, and AI-assisted automation so organizations can move from asset inventory to prioritized execution.
Book a Platform DemoPlatform architecture
One data model, multiple execution workflows.
Claira separates the core intelligence layer from specialized applications. Claira Hub manages portfolios, rules, programs, stakeholders, documents, and scores. solAIr can run independently or plug into the Hub when solar is the next best action.
Configurable rules
Scoring dimensions, eligibility criteria, financing programs, partner requirements, and workflow gates can be configured without hardcoding every scenario.
Specialized engines
Solar analysis, financial modeling, proposal generation, document exports, and future permit-package workflows operate as domain engines on top of the same platform.
Decision surfaces
Dashboards, alerts, ranking views, asset pages, exports, and partner-ready reports translate raw analysis into actions teams can defend.
Configurable intelligence
The Hub is designed for rules that change by partner, program, and portfolio.
Complex portfolios are not managed by one static score. Claira supports configurable scoring dimensions and financing program rules so municipalities, housing operators, schools, ESCOs, installers, and funding partners can evaluate assets through their own decision lens.
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Scoring dimensions can cover solar potential, energy opportunity, building condition, decision readiness, execution readiness, bankability, and opportunity window.
2
Financing and incentive programs can be added as first-class rules, including eligibility logic, weights, estimated amounts, stacking behavior, and partner-specific requirements.
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Assets can be configured with overview data, solar analyses, documents, assessments, scores, stakeholders, and exports so every recommendation has traceable context.
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Portfolio ranking surfaces high-impact assets, missing documents, missing decision-makers, urgent funding windows, and next-best actions across many buildings.
Domain engines
Solar is one engine inside a broader intelligence platform.
The technology page should make the solar depth credible while showing that Claira can support additional building-performance, financing, and project-readiness workflows over time.
Portfolio scoring and prioritization
Configurable scorecards evaluate assets across operational, financial, energy, stakeholder, and timing dimensions, then rank opportunities across portfolios and child portfolios.
Financing and incentive orchestration
Program rules can model eligibility, estimated contribution, stacking constraints, partner criteria, and execution readiness for programs such as SOFIAC, EcoPerformance, Hydro-Qu?bec OSE, FQM, ESCO, and future partner-defined programs.
Hybrid solar assessment
solAIr combines Google Maps Platform, Google Solar API data, SAM2-assisted roof segmentation with specialized prompting, YOLO-trained obstacle detection, and geometric validation algorithms.
Climate and production modeling
Solar potential analysis can incorporate production assumptions, climate-adjusted losses, bifacial PV assumptions, PVGIS, NASA datasets, and Quebec-specific project context.
Financial projections and proposal generation
The platform supports Hydro-Qu?bec financial assumptions, project economics, customer-ready projections, company-branded PDF quote generation, and future permit-ready packages.
Documents, exports, and partner workflows
Hub assets can carry source documents, assessment outputs, stakeholder context, export packages, and partner-ready files so project decisions do not live in disconnected spreadsheets.
Infrastructure
Cloud-ready architecture for geospatial, AI, and portfolio workloads.
Claira is built to support interactive maps, concurrent analysis, configurable business rules, AI-assisted workflows, and growing validation datasets as pilots expand.
Frontend
React, TypeScript, Next.js, and Tailwind support fast product surfaces for Hub dashboards, asset detail pages, solar workflows, and proposal experiences.
Backend and data
Python, FastAPI, PostgreSQL, and structured domain models support assets, programs, scores, assessments, solar analyses, documents, and exports.
Google data foundation
Google Maps Platform and Google Solar API provide core geospatial and solar data inputs already used by solAIr and relevant to the broader platform.
AI and analytics roadmap
Vertex AI, BigQuery, Cloud Run, and Cloud Storage are natural infrastructure targets for model inference, validation datasets, geospatial processing, and scalable deployment.
Built for defensible automation.
Claira is not trying to hide complexity behind a black box. The goal is to make complex portfolio decisions easier to audit, explain, and repeat.
- Human-reviewable scores and eligibility reasons
- Traceable assumptions behind financial and solar outputs
- Configurable rules instead of one-off custom code
- Validation datasets that improve with every real project
- Exports and proposal packages that partners can act on
- A roadmap toward deeper AI automation without losing explainability