Ottawa-based AI, data science, and quantum advisory
Maple Quanta Inc. helps organizations assess AI systems, strengthen governance, audit data science methods, and prepare for emerging quantum technologies with scientific rigor and practical risk discipline.
Services
Maple Quanta offers structured engagements for organizations that need independent technical judgment before adopting, governing, or auditing AI and data-driven systems. Each package can be adapted to the client’s scope, data sensitivity, and decision context.
A short diagnostic for organizations asking whether they are ready to adopt AI safely and effectively.
A structured review of policies, risks, model use, privacy, transparency, and accountability controls.
An independent review of models, assumptions, metrics, data quality, validation, and decision risks.
Practical guidance on quantum readiness, use-case evaluation, vendor claims, and strategic implications.
Engagements are scoped around usable outputs such as written findings, executive briefings, risk registers, implementation roadmaps, and decision-ready recommendations. Pricing depends on scope, organization size, data sensitivity, and required deliverables.
Who we help
Maple Quanta works with teams that need to understand whether an AI system, data product, vendor claim, or emerging technology is safe, useful, compliant, and worth adopting.
Support for responsible adoption, governance, accountability, evidence standards, and operational decision-making.
Review of model risk, privacy exposure, transparency, controls, and decision processes before deployment.
Technical assessment of methods, assumptions, datasets, metrics, and implications for evidence-based policy.
Practical guidance for adopting AI tools without unnecessary complexity, lock-in, or unmanaged risk.
Typical deliverables
Engagements are designed to produce decision-ready materials, not vague advice. The final format depends on the client’s needs, timeline, and sensitivity of the work.
A practical assessment of opportunities, constraints, governance gaps, and recommended next steps.
A review of policies, controls, accountability structures, and responsible AI operating requirements.
An independent review of data quality, assumptions, metrics, validation, uncertainty, and decision risks.
A structured record of risks, likelihood, impact, ownership, and recommended mitigation actions.
A concise leadership presentation focused on decisions, tradeoffs, priorities, and implementation options.
A staged plan for moving from uncertainty to practical, responsible implementation.
About
Maple Quanta Inc. is based in Ottawa, Canada and supports organizations that need careful, technically informed guidance on AI, data science, and quantum technology.
The company focuses on clear analysis, disciplined implementation, and governance that fits real operating environments. Maple Quanta provides independent advisory support with no vendor lock-in, helping teams make consistent decisions, understand tradeoffs, and move from uncertainty to practical action.
Maple Quanta Inc. is a federally incorporated Canadian corporation governed by the Canada Business Corporations Act. Corporation No. 1801626-7. Incorporated on June 13, 2026.
Maple Quanta Inc. was co-founded by Zahra Aback, Co-Founder & CFO, and Dr. Qasem Exirifard, Co-Founder & CEO. Together, they combine actuarial expertise, financial discipline, scientific rigor, and advanced data capabilities. This gives clients both a risk-aware business lens and deep technical judgment when adopting AI, data science, and quantum technologies responsibly.
Actuarial expertise, financial strategy, risk discipline, and governance perspective.
AI, data science, quantum technology strategy, technical assessment, and scientific methods.
Value proposition
The work is shaped by scientific reasoning, clear governance, independent judgment, and delivery practices that respect both opportunity and risk.
Recommendations are grounded in evidence, explicit assumptions, and methods that can be reviewed and improved over time.
Governance, transparency, privacy, fairness, and accountability are treated as operating requirements, not afterthoughts.
Engagements are scoped around usable outputs: decisions, roadmaps, controls, and recommendations without vendor lock-in.
Contact
Use the form to outline your question or project. Maple Quanta can help clarify the opportunity, constraints, risks, and next technical steps.