Model the business
Define the outcomes leadership values, map operating streams and capabilities, and make dependencies visible.
ARTIFICIAL INTELLIGENCE MATHEMATICS RISK GOVERNANCE
Quantitative power.
Built for
your business.
AI-enhanced insight.
Human-led decisions.
We combine mathematical modelling, risk quantification and governance with the power of AI. AI strengthens how we analyse, build and advise. We also help small and medium-sized businesses implement AI securely to improve performance, with expert validation and human control.
Explore our quantitative modelBUILT FOR COMPLEX OPERATIONS
Manufacturing
Services
Retail
THE NESSIVA DIFFERENCE
Move from intuition alone
to a measurable operating system.
AI is integral to how Nessiva puts its expertise to work. Our team combines in-depth training in mathematics, statistics and risk management with applied AI, cybersecurity and governance. AI accelerates model development, analysis and implementation; our experts validate the work, and business leaders retain decision authority.
Embed intelligence
Use AI throughout model development, analysis and business workflows, with tailored kernels, reusable skills and expert review.
Govern it safely
Build AI security, cybersecurity, model validation and clear human accountability into the system from the beginning.
WHERE WE HELP
Measure what matters.
Improve how the business performs.
We start with your business objectives and combine mathematics, statistics and risk expertise with AI to support measurable improvement. Secure implementation, practical policies and human oversight connect the work across every service.See the Nessiva Utility Vector Framework Explore focused advisory across our expertise
Quantitative operating
models
Develop a company-specific utility vector, map business streams and capabilities, and connect daily performance to the outcomes leadership values. AI accelerates model development, scenario analysis and reporting, supported by expert validation of the mathematics and assumptions.
AI integration
& workflows
Put AI to work through tailored analytical kernels and reusable skills. Accelerate analysis, management reporting, document production and business workflows while keeping human authority and measurable objectives at the centre.
Risk, policy
& management systems
Combine quantitative risk methods with AI-assisted evidence analysis and scenario assessment to make exposures and trade-offs explicit. Develop practical policies, governance and management education, with clear responsibility for reviewing AI outputs and making decisions.
Cybersecurity
& AI assurance
Assess security controls, data access and technology risk as AI enters business operations. Support NIST CSF 2.0 and ISO/IEC 27001:2022 assessments, AI and model-risk oversight, audit readiness and customer assurance.
ISO certification and SOC 2 attestation are separate engagements with accredited certification bodies and licensed CPA firms.
THE NESSIVA APPROACH
Business objectives
guide the analysis.
We do not begin with technology. We begin with the decisions the business must make, the outcomes it values and the constraints under which it operates.
Start with your reality.
Clarify objectives, constraints, workflows and the decisions leadership is facing.
Build the structure.
Connect operating evidence, dependencies and risks to a measurable business model.
Make it operational.
Integrate AI, policies, controls and management practices, then observe improvement over time.
OUR FOUNDERS
Expertise for consequential
business decisions.
Nessiva combines mathematics and AI with experience in risk management, cybersecurity and governance.
Maksim Sokolov and Sanjar Alimov bring complementary perspectives to improving business performance: understanding what drives results, evaluating the risks and establishing the controls needed to support execution.
CO-FOUNDER & MANAGING DIRECTOR
Maksim Sokolov
Business Performance · Quantitative Risk · AI
Maksim helps business leaders translate complex operations into measurable priorities. He combines mathematical modelling, quantitative risk analysis and AI to clarify performance drivers, evaluate trade-offs and inform decisions about resources and operational improvement.
He brings nearly two decades of business and consulting experience, dating back to 2007, including work with Walmart Canada, Best Buy Canada, McGraw Hill Canada and eCampusOntario. A professor at Seneca Polytechnic, he connects analytical depth with the practical demands of business decision-making.
Advisory focus
- Business performance: quantification, capacity analysis and decision models.
- Risk analysis: assessing business and financial risk, dependencies and trade-offs.
- Applied AI: integrating AI into analysis, decision support and operational workflows.
Qualifications
PhD in Mathematics · Professional Risk Manager (PRM)
Master’s degrees in Mathematics and Mathematics Education
Academic appointments & professional background
Maksim is a Professor of Business and Financial Mathematics and Statistics at Seneca Polytechnic’s School of Business. His work at Toronto Metropolitan University included financial risk, financial derivatives and business and financial mathematics.
His earlier academic appointments include Cardiff University, the International Centre for Theoretical Physics, the National University of Uzbekistan and Moscow State University.
He holds the Professional Risk Manager designation from the Professional Risk Managers’ International Association (PRMIA) and is an author of research articles and books in mathematics, business mathematics and financial mathematics.
CO-FOUNDER & MANAGING DIRECTOR
Sanjar Alimov
Cybersecurity · AI Security · Risk & Governance
Sanjar helps businesses adopt AI with the security, governance and controls it requires. His expertise connects cybersecurity and AI security with technology risk, audit and operational resilience, helping leaders protect information, oversee AI use and maintain human accountability.
Sanjar brings over 20 years of experience, including leadership roles at BMO and CIBC and consulting at Deloitte Canada. His work spans technology and cybersecurity assurance, AI and model-risk oversight, and the assessment of governance and controls. He translates complex business and technology issues into clear insights and practical recommendations for senior management and boards.
Advisory focus
- Policy & governance: technology oversight, control effectiveness and compliance.
- Cyber resilience: cybersecurity, cloud risk, business continuity and disaster recovery.
- Security assessments: NIST and ISO-aligned control reviews, audit readiness and customer assurance.
- AI security & assurance: evaluating data protection, access controls, AI and model-risk governance, and human oversight.
Qualifications
Master of Accounting · MSc in Economics
BSc in Economics
Professional certifications & education
- CISSPCertified Information Systems Security Professional — ISC2
- CCSPCertified Cloud Security Professional — ISC2
- CGEITCertified in the Governance of Enterprise IT — ISACA
- CISACertified Information Systems Auditor — ISACA
- CIACertified Internal Auditor — Institute of Internal Auditors
- CRMACertification in Risk Management Assurance — Institute of Internal Auditors
- GCCCGIAC Critical Controls Certification
- Master of Accounting
- MSc & BSc in Economics
Sanjar’s experience includes IT audit planning, controls assessments, data analytics and executive reporting, with engagements spanning Canada, the United States, Asia Pacific and EMEA. His background also covers identity and access management, cloud and hybrid technology, and multidisciplinary team leadership.
START WITH A CONVERSATION
Tell us what the business
needs to solve.
Share a short description of the challenge. We will review it and respond to arrange a free initial consultation.