RESEARCH & PUBLICATIONS

    Peer-Reviewed Foundations Behind Our Decision Intelligence Systems

    VentureSense Technologies LLP develops explainable digital decision systems grounded in peer-reviewed Information Systems research. Our architecture prioritizes transparency, governance, and trust in funding decisions.

    Reference Copy

    For citation purposes, please use the official journal link above.

    Citation & License

    Citation

    Kashyap, K. (2025). Designing Explainable Digital Decision Systems... IJFMR, Vol. 7, Issue 6.

    License

    Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)

    WHY THIS RESEARCH MATTERS IN PRACTICE

    The framework has direct implications for stakeholders across the funding ecosystem.

    For Investors and Funds

    • Decision defensibility through transparent evaluation criteria
    • Trust-building with portfolio companies via explainable outcomes
    • Consistency in deal flow analysis across diverse sectors

    For Governments and Institutions

    • Auditability of funding allocation decisions
    • Governance compliance through documented reasoning chains
    • Legitimacy in public resource distribution

    For System Designers

    • Explainability-first architecture patterns
    • Socio-technical integration frameworks
    • Human-in-the-loop decision system design

    Research Inquiries

    For academic collaborations, dataset access, or research partnership discussions.

    Contact Research Team

    Legal & Compliance Notice

    VentureSense Technologies LLP provides decision intelligence infrastructure. The Zurvek Engine and SenseCore protocols are designed to assist institutional decision-making but do not constitute financial, legal, or investment advice. All investment decisions remain the sole responsibility of the user. System outputs are probabilistic and based on available data inputs. Compliance: aligned to ISO 27001 and SOC 2 control principles; not certified. DPDP Act 2023 compliant.