GoGo AI Network Inc. Announces Appointment of Prof. Ashutosh Sharma to Advisory Board of Algo8 AI
VANCOUVER, British Columbia, Jan. 28, 2026 — GoGo AI Network Inc. is pleased to announce the appointment of Prof. Ashutosh Sharma, a Padma Shri Awardee, to the Global Advisory Board of Algo8 AI, one of GoGo’s core portfolio companies.
Strategic Importance of the Appointment
This appointment reinforces Algo8’s long-term strategy to build infrastructure-grade Industrial AI aimed at improving reliability, energy efficiency, and enhancing ESG data quality, governance, and transparency. This approach supports long-horizon value creation as Algo8 expands across North America and other global markets.
For investors and enterprise stakeholders, this appointment signals continued investment in the institutional foundations needed to scale trusted AI systems in asset-intensive industries.
Key Benefits of the Appointment
- Stronger institutional governance and strategic oversight to support long-horizon value creation.
- Deeper R&D and industry-academia collaboration to accelerate platform capabilities.
- ESG integration embedded into product architecture, relying on verifiable data and responsible AI.
- Continued expansion aligned with public-market operating expectations.
Goals and Strategic Rationale
Prof. Sharma brings extensive experience across science leadership, research infrastructure, public policy, and industry-academia collaboration. His appointment aims to support Algo8 AI’s continued development through:
- Structured R&D programs and translational research models.
- Long-term industry-academia partnerships.
- Research translation into measurable operational outcomes.
- Responsible AI governance and oversight.
- ESG-aligned innovation frameworks.
- Institutional-grade operating discipline and investor-aligned reporting standards.
Leadership Insights
Nandan Mishra, Co-Founder and CEO of Algo8 AI, stated, “Prof. Sharma’s career represents the integration of science, policy, institutions, and industry. His experience will help us scale responsibly and strengthen our governance and ESG-by-design approach, which are critical to enterprise customers and long-term investors.”
Prof. Ashutosh Sharma’s Contributions
Prof. Sharma is the Institute Chair Professor at IIT Kanpur and has played a pivotal role in:
- Building national research infrastructure.
- Strengthening translational R&D frameworks.
- Expanding industry-academia collaboration models.
- Supporting innovation ecosystems and startups.
- Designing large-scale science and technology programs.
- Developing governance frameworks for research and innovation.
His recognition with the Padma Shri reflects his long-standing contributions to science and public service.
Advisory Priorities for Algo8 AI
Algo8’s strategy is to embed sustainability into its platform’s design and operating model. Under Prof. Sharma’s advisory role, the priorities will include:
1. R&D Ecosystem and Partnerships
- Structured R&D programs.
- Long-term industry-academia collaboration models.
- Research roadmaps linked to measurable industrial outcomes.
2. ESG Intelligence in Industrial AI
- AI-driven energy optimization and resource efficiency.
- Predictive maintenance to reduce downtime and waste.
- Digital twins for lifecycle performance and sustainability decisions.
- Explainable, traceable operational ESG performance intelligence.
3. Governance and Responsible Deployment
- Verifiable data architectures and traceable metrics.
- Responsible AI frameworks and oversight.
- Institutional-grade governance systems.
- Investor-aligned operating and reporting structures.
Conclusion
Prof. Ashutosh Sharma emphasized that “strong innovation systems are built when science, industry, institutions, and governance structures operate in alignment.” His appointment is expected to significantly impact the development of Industrial AI through structured and responsible frameworks, ensuring that productivity, sustainability, and resilience are achieved.
About GoGo AI Network Inc.
GoGo AI Network Inc. is an investment issuer focused on identifying, investing in, and supporting early-stage and growth-stage companies developing artificial intelligence, robotics, and next-generation software technologies. The company aims to create long-term shareholder value through disciplined capital allocation, active portfolio support, and strategic monetization of its investments over time.
