Sust Global develops Climate Risk Analytics and APIs to enable investors to introduce climate-informed factors into their workflows.
Through our proprietary geospatial AI techniques, we fuse climate models and satellite-derived observational data to produce high accuracy, high cadence signal on the impact of the changing climate to assets across the global economy.
See below for our CEO Josh Gilbert's take on the new UK government policy around renewable infrastructure investment – regulatory issues and potential climate risks threaten this push towards a green transition in the UK 🇬🇧
Founder @ intersection of climate modeling, renewables and geospatial AI
With the new UK government's focus on turning the UK into a "renewables powerhouse", I examine some of the issues with new policies in the UK, and the looming climate implications on renewable energy investment across the globe.
At Sust Global we are working hard to enable the energy transition remains on track, through enabling investors to understand, quantify and mitigate the hidden climate risks facing today's (and tomorrow's) investment landscape.
Back in the UK after a great trip to Canada w. Gopal Erinjippurath, visiting clients and prospects in Toronto and Montreal (as well as a trip to the lakes visiting family!).
It's brilliant to see the emphasis on climate-risk aware investing across the Canadian financial sector, with many firms taking significant moves to evolve their thinking on risks and opportunities across sustainable investing.
Less pleasing was the continued impact of wildfires across the Canadian Pacific North West during my trip, and more evidence that Sust Global's leading climate risk analytics (especially wildfire models!) are increasingly important.
The new UK government has announced ambitious green investment plans including the new National Wealth Fund. However, for these projects to reach their decarbonisation objectives, physical climate risk must be taken into consideration during financing and development.
Failure to do so can result in unexpected costs that damage a project’s returns and impact or can lead to expensive energy shortages that must be filled by fossil fuels.
LMK if you want to discuss further re. how physical risk will impact low carbon infrastructure projects and how to account for these risks in investment processes.
https://lnkd.in/dCprS78h
The fight against climate change requires innovation on all fronts - including data. That's why I was so thrilled to host Gopal Erinjippurath, the visionary co-founder, CTO and Head of Product at Sust Global, in this episode of the Product Thinking Podcast.
Sust Global is pioneering "data-driven products that enable every business decision to be climate informed so that humanity can thrive in a changing planet." As someone deeply committed to using tech for global good, I was eager to pick Gopal's brain.
Gopal and I went deep on why climate data is rapidly becoming invaluable across industries, how he tested and iterated Sust Global's cutting-edge product, navigating risks in this fast-evolving space, balancing purpose and profit, and making product thinking core to the company's DNA.
🔍 Key highlights from our discussion:
🔷 Gopal's journey into climate tech and founding Sust Global
🔷Who's buying climate data and why it matters for long-term strategy
🔷Testing and iterating complex data products (start with outcomes!)
🔷Ensuring data quality through 'sandboxing' and customer-centric approaches
🔷The three crucial criteria for valuable climate data
🔷Overcoming challenges in product development
🔷Building a strong, product-minded team in a data-driven space
🔷Balancing mission and commercial success in climate tech
My favorite insight: "You must enable your team to stay on top of things and...fundamentally have product thinking be part of the DNA of your team." - Gopal Erinjippurath
This episode is a must-listen for anyone interested in innovative product development, especially in the critical field of climate tech. Gopal's insights on building mission-driven yet commercially viable products are truly inspiring.
How do you think data-driven products can make a significant impact on climate action in your industry? Share your thoughts and let's keep this crucial conversation going!
#ProductThinking#ClimateTech#Sustainability#DataDrivenDecisions
We at Sust Global experimented with a different learning format at our inaugural event, alongside our wonderful partners Agendi and Kirkland & Ellis at #SFClimateWeek:
1️⃣ Introduce and distill complexities in climate risk (physical, transition, regulatory)
2️⃣ Thematic discussions around data and AI across the climate ecosystem
3️⃣ Distill learnings and outcomes for key actors across industry sectors
Our conversation drew an incredible collection of risk and sustainability experts across the financial ecosystem, corporate sustainability teams and leading renewable energy companies, igniting valuable convos and unpacking some critical needs.
A heartfelt thank you to all who attended and contributed!
Here are 3 keys dimensions we covered for data+AI in addressing climate adaptation:
🌎 Understanding Outcomes: Determine if your outcomes are focused on reporting vs decision support and risk management. Most of tools lack actionability and often provide outputs that are hard to transform into actionable insights. Are the platforms you use enabling an effective interpretation of the data?
📈 Channeling Analytic expertise: Tools dedicated to ESG reporting enable a broad reporting capabilities while platforms for climate-related risks enable deep analytical expertise. ESG issues require a bottom-up approach to collect KPIs and data. The right analytic tools can help you transform climate data to financial risk metrics as they related specifically to your assets and your business.
🤦♂️ Scoping tail risks and uncertainties: Predicting an uncertain future is fault prone. How well do the climate modeling tools you use quantify uncertainties in their forward projections? Are they able to explain a scientific basis for a back test?
We will be sharing more on what we have in store for #ClimateWeekNYC this year in the coming month. Comment below 👇 to get added to our invite list.
Natalia Pascual | Susanna Pilkerton | Maninder Kaur | Julia Waterhous | Janina Q. | Sophia Rizzuti | Avery Dillon | Tony Moller | Arnaud Brohe | Danny Nigh | Josh Gilbert | Charlie Sidles | Tristan Ballard, PhD
I'm looking forward to SuperReturn Energy Transition in Berlin next week where I'll be speaking with Laura Noorani on how climate change will impact renewable infrastructure returns.
Drop me a note if you're attending the conference.
Congrats to the team at Monash University for publishing their paper on the links between climate risk exposure and home insurance uptake.
We were proud to provide data that generated meaningful insights on the impacts of climate change to society.
As climate change leads to increasingly frequent and severe climate hazards, some of which will occur in non-intuitive locations, analyzing forward-looking physical climate risk data can help businesses, investors, and governments predict climate impacts and best prepare mitigation measures.
Just had a paper come out in Ecological Economics looking at climate risk and home insurance. It is joint work with Trinh H. Le, PhD and Ummul Ruthbah at Monash University and is available open access.
We used the HILDA Survey and data on climate physical risks from Sust Global. Our focus was understanding the links between a household's likelihood of having insurance and their exposure to climate risks. We then used this relationship to project the impacts on insurance uptake of various climate scenarios.
We found strong links between exposure to climate risks (fire, flood, hail, and cyclone) and households’ insurance uptake (Fig 4). On the projections, we found fairly gradual falls in insurance uptake as a result of climate change (Fig 5). It is important to note here that our focus was specifically on the effects of climate change. We did our best to strip out any other dynamics that influence insurance uptake---increasing construction costs, re-insurance re-pricing, and better data and models that enable more accurate risk-pricing by insurers. A key insight, which is perhaps fairly obvious but useful I think in the current discussion, is that the physical impacts of climate change and their impacts on insurance coverage are in many cases likely to evolve fairly slowly giving plenty of room for policy to mitigate some of these challenges.
https://lnkd.in/gxEp-QWN
We are excited to be co-hosting an event tomorrow at #SFClimateWeek driving multiple conversations at the intersection of AI, geospatial data, and climate adaptation.
Sust Global CTO Gopal Erinjippurath, along with our wonderful partners at Agendi and Kirkland & Ellis will explore how to identify financial risks and opportunities brought about by the changing climate and how to implement climate data into your investment process.
We’re looking forward to some great discussions with the sold out audience.
Weren’t able to get a ticket? Respond in the comments and we can send you materials from our coverage and learnings at this discussion.
The 2024 Climate Risk Landscape Report from the United Nations Environment Programme Finance Initiative (UNEP FI) is out today, and Sust Global is pleased to have contributed and be featured in this important report.
The report highlights recent trends in the climate tools market and features various tools, including Climate Explorer, underscoring our shared commitment to advancing #sustainablefinance practices in the global #financialsector.
The 2024 #ClimateRisk Landscape Report is here! Explore the cutting-edge insights and strategies for effective climate risk management in the #financialsector, curated by UNEP FI's Climate Risk and TCFD programme. Check out the full report: https://ow.ly/O3PV50R83Uf
Last week, I was invited to speak at the CERAWeek conference in Houston, Texas, where I joined energy industry leaders to discuss the biggest challenges facing the industry.
As part of a panel on generative AI in climate science, I spoke about how Sust Global's AI-powered climate models can help helping investors, businesses, and governments prepare for a more uncertain future.
Thank you to Bob MacKnight (S&P Global) for moderating, and fellow panelists Justina Gallegos (The White House) and Hussein Shel (Amazon Web Services (AWS)) for a great discussion.
If you are interested in hearing some audio on the key topics from the event, please reach out.
