Founded on deep expertise, creativity and a passion for sciences

  • Founder & Principal

    Matthieu Bardout is an AI/ML-focused executive with deep experience building data, analytics and research applications in energy, ClimateTech and sustainable finance. His career spans senior leadership roles at S&P Global, founding and scaling Asset Impact, and advising organizations at the intersection of product, data and market strategy. Matthieu’s work centers on converting user needs and domain insight into scalable technical solutions, aligning product, engineering and commercial teams, and accelerating growth in complex markets. He holds advanced degrees in geophysics and sustainable development and completed MIT’s executive program in AI and ML.

Experience

  • Strategy & Commercial Executive

    Led strategic, product and commercial initiatives across a $300M energy, climate tech and sustainable finance portfolio.

  • Founder & CEO

    Founded and led a data and analytics startup providing asset-level solutions for climate-related financial analysis.

  • Consulting Lead & Finance Program Manager

    Led research, advisory and reporting projects for energy, industry, financial and government entities.

  • Led business development efforts and managed consulting projects in energy systems and climate finance. (now part of Guidehouse)

  • Contributed to large geophysical and geotechnical investigations for energy & infrastructure projects.

  • Completed multiple internships in applied geosciences, development research and manufacturing.

Education

  • AI for Senior Executives

    Executive education program focused on the strategic, operational, and organizational implications of AI adoption in large enterprises.

  • MSc Sustainable Development (Cum Laude)

    Two-year Master's with specialization in international development, focused on human development, economics, policy and research.

  • Msci Geophysics (1st Class Honors)

    Four-year undergraduate Master’s program with advanced quantitative, computational, and applied geoscience training.

  • One-year graduate diploma in geophysics completed as an exchange year.

  • Completed courses on big data, machine learning, natural language processing, corporate finance, multimedia communication, and corporate branding.

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