Gopal Pic

Gopal Erinjippurath

Scaling AI for capital markets.

Post-exit founder of Sust Global (acquired by ISS STOXX), pre-IPO leader at Planet Labs (NYSE:PL), and private markets investor backing frontier tech.

LinkedIn | Medium | Github

I am an entrepreneur and technologist driving AI strategy and execution at ISS STOXX, following the acquisition of Sust Global, where I served as Co-founder and CTO. Today, my work focuses on the intersection of artificial intelligence and capital markets, specifically designing agentic AI workflows and next-generation signal generation for institutional investment strategies.

We are navigating the most transformative era of technology in our lifetimes. While it has never been easier to spin up a product demo, building defensible, generational businesses requires deep domain expertise and technological rigor. I am fascinated by intelligent software systems that cut through the noise and fundamentally empower human decision-making.

My blueprint for scale is simple: empower small, highly specialized teams to turn complex data into generational businesses. I operate at the efficient frontier of technical depth, applied domain knowledge, and operational scale.

I spent the early years of my career as an algorithm engineer. In recent years, I have led teams and products that have scaled from whiteboard concepts to customer centric proof of value to planetary scale inference in weeks and months. Previously, I led geospatial AI products at Planet Labs, an integrated aerospace and data analytics company operating history’s largest commercial fleet of earth observation satellites.

My products and research have been presented at leading AI conferences including CVPR, ICML, NeurIPS, and ICLR. I am the lead inventor on over 15 patents (full list) spanning imaging systems, machine learning architectures, and geospatial data representation, and have been an invited speaker at Google Cloud Next, ESA Living Planet, and MLConf.

Having navigated the journey from zero-to-one and through a successful acquisition, I am deeply committed to the builder ecosystem. As a private markets investor and advisor, I actively back founders forging the future of early and late-stage enterprise AI, financial data and new space technologies. If you are building at this frontier, I would love to connect.

Writings

  1. From narrative to signal: Agentic AI for systematic indexing.
  2. Unpacking the geospatial dimension for multimodal insights in institutional workflows. Co-authored with Google Research.
  3. Evaluating remote sensing FMs for new products.
  4. All climate models are wrong, but some are useful.
  5. A quick introduction to Prithvi-100M EO foundation model.
  6. Foundational network architectures for AI on climate.
  7. Geospatial 2.0: Unlocking billions, across verticals, at scale.
  8. The software of climate adaptation.
  9. It matters when it is in your backyard.
  10. Working towards planetary scale location insights.

Analysis and technical papers

  1. 2025: Climate resilient smart beta indices. (in review)
  2. ICLR2025: A multimodal AI model for decoding the insurance crisis.
  3. ICLR2025: Denoising diffusion models for spatial super resolution.
  4. 2024: A tale of two hurricanes in the North Atlantic.
  5. 2024: Beyond opaque ESG metrics for portfolios of utilities.
  6. ICLR2023: Role of geospatial AI in fireproofing forest carbon.
  7. AAAI2022: Contrastive learning for debiasing and super resolution.
  8. NeurIPS2020: Geoscience-driven super-resolution of fire projections.
  9. ICML2019: Building geospatial AI to prepare for climate change.

Select interviews and podcasts

  1. 2025, The Road to Geography 2050 with Tee Barr.
  2. 2024, Interview on Geospatial AI at NYSE with Evan Kodra.
  3. 2023, Product Thinking Podcast with Melissa Perri.
  4. 2023, Inteview at ReFi Summit with Rex St John.
  5. 2023, Data driven technologies for climate risk with Keesa Schreane.
  6. 2022, Data Engg Podcast with Tobias Macey.
  7. 2022, Data science and your product career with John Fotenote.

Select Talks

  1. 2025 ICLR, Singapore: Multimodal Geospatial AI Models
  2. 2024 Climate Week SF
  3. 2021 Making multisource geospatial imagery useful for ML
  4. 2020 ML Conf: Scenario analysis through geospatial AI
  5. 2020 NeurIPS: Geoscience-driven super-resolution of fire projections.
  6. 2019 Google Cloud Next: Leveraging data and AI for social good
  7. 2019 ODSC: Planetary scale location insights
  8. 2018 Creating datasets for object detection in satellite imagery