Sust Global
Geospatial AI that maps physical climate risk across 1M+ global assets
For long-horizon, TCFD-aligned physical risk across a genuinely large asset base, this is one of the few platforms that scales to a million-plus assets without falling apart. The ISS STOXX ownership adds financial-data distribution muscle, though it also hardens the enterprise sales gate. If you need real-time hazard alerting rather than strategic scenario work, this is the wrong shape of tool.
Verified 1d ago · liveness 57/100 · cite: rightaichoice.com/tools/sust-global
- Institutional investors scoring physical climate risk across 1M+ global assets
- Asset managers producing TCFD-aligned climate risk reports for regulators
- Energy and infrastructure firms evaluating asset-level wind, solar and real estate exposure
- ESG analysts needing high-resolution geospatial data for RCP scenario analysis
- Small portfolios or firms with fewer than a few hundred assets to assess
- Teams without geospatial data science capability on staff
- Anyone needing real-time hazard alerting or operational monitoring
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Skip Sust Global if you have fewer than 100 assets, need real-time hazard alerts, lack geospatial data expertise, or expect a self-service trial before a sales call.
The platform requires a sales conversation for pricing, so you won't know the cost until you commit time to demos.
Sust Global is a contact-sales product aimed at institutional investors and large asset managers. Pricing is not public, so it's best fit for enterprise budgets; smaller teams should expect high entry costs. Compare with Jupiter Intelligence for real-time risk, which may offer more flexible pricing for smaller portfolios.
In short
Sust Global — Geospatial AI that maps physical climate risk across 1M+ global assets. Best for Institutional investors scoring physical climate risk across 1M+ global assets, Asset managers producing TCFD-aligned climate risk reports for regulators, Energy and infrastructure firms evaluating asset-level wind, solar and real estate exposure. Contact Sales pricing.
What people actually say about Sust Global — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
16 mentions across 2 sources (Bluesky, Lemmy) · researched Jul 6, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +High-resolution satellite and multi-modal data integration
- +Scalable to over 1 million assets for portfolio analysis
- +TCFD-aligned reporting for institutional compliance
- +Acquired by ISS Stoxx, signaling enterprise trust
- +Physics-based models for long-term climate scenarios
- −Lack of public community feedback or user reviews
- −Advanced skill required; not beginner-friendly
- −No transparent pricing or free tier available
- −Limited integrations beyond a few financial platforms
- −Heavy focus on long-term scenarios, not real-time hazards
- • Likely requires annual contract; no usage-based tiers
- • Implementation consulting may be separate
Viability Score
How well maintained and how widely used is Sust Global? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Geospatial AI engine for asset-level physical climate risk scoring
- Multimodal data collection and harmonization from satellite and other sources
- Scalable processing pipeline covering 1M+ global assets
- Physics-based hazard projections under RCP 2.6, 4.5 and 8.5 scenarios
- Hazard coverage for wildfire, flood, heatwaves, drought, sea level rise and water stress
- Interactive analytics dashboard for asset and portfolio risk exploration
- API-based data delivery for integration into client systems
- Custom analytics and model configuration for bespoke requirements
- Zonal climate risk statistics on administrative boundaries
- Nature Capital dashboard for ecosystem services and biodiversity metrics
- Wind speed modelling for wind energy asset analysis (presented at ICLR 2025)
- TCFD-aligned risk reporting and portfolio analysis outputs
- Rapid upload and processing of client geospatial data
- High-resolution global satellite data coverage
About Sust Global
Sust Global applies geospatial AI to physical climate risk intelligence, building asset-level exposure profiles for institutional investors, asset managers and ESG analysts who need defensible numbers rather than narrative. The engine harmonizes satellite imagery and other multimodal data into a single indexed layer, then runs physics-based hazard models over it to score wildfire, flood, heatwave, drought, sea level rise and water stress under RCP 2.6, 4.5 and 8.5 scenarios. The scale matters more than the dashboard. Sust Global's pipeline is built to process upwards of a million global assets, which is the difference between a research toy and something a pension fund or infrastructure manager can actually put in front of a reporting committee. Output lands through an analytics dashboard, custom analytics work, or API delivery for firms piping climate exposure straight into their own portfolio systems. Beyond headline hazards, the platform supports zonal statistics on administrative boundaries, a Nature Capital view for ecosystem services, and custom model configuration. A wind speed model developed for wind energy asset analysis was presented at ICLR 2025 — a useful signal that the modelling work is research-grade, not just a data reseller wrapper. Since the 2025 acquisition by ISS STOXX, Sust Global sits inside a larger financial data business and reaches clients alongside ICE Climate, London Stock Exchange Group and Yield Book. That widens distribution, but it also means the buying motion is enterprise and sales-led. Buyers after long-horizon, TCFD-aligned portfolio analytics should shortlist it; teams wanting a live storm feed or self-serve trial should look elsewhere.
Behind the Verdict
Pick Sust Global when your problem is genuinely a portfolio problem. If you are running physical risk across tens of thousands of properties, utility assets, or infrastructure holdings and you need consistent hazard scores sitting under a TCFD disclosure, the geospatial pipeline is doing work that a spreadsheet-and-vendor-PDF workflow cannot. The scenario coverage across RCP 2.6, 4.5 and 8.5 is the part reporting teams will lean on most, because it lets you show a range rather than a single number. The Nature Capital dashboard is the sleeper feature. Biodiversity and ecosystem services reporting is creeping into disclosure regimes, and having nature metrics sitting in the same asset graph as flood and heat exposure saves a separate procurement cycle. The custom wind speed modelling for energy assets shows the team will build bespoke analytics rather than just sell you a static dataset. Where it bites is access. Pricing is contact-only, there is no trial, and onboarding expects geospatial literacy on your side. We would not send this to a small sustainability team with 200 assets and no data engineer; the setup cost will swamp the value. Real-time operational monitoring is also out of scope here, so if you need a wildfire alerting feed for field operations, pair this with a live hazard monitor instead of expecting one tool to do both. The closest rival for institutional physical risk is Jupiter Intelligence, which leans harder into granular, forward-looking hazard analytics and real-time capability. Sust Global's differentiator is the finance-side plumbing — ISS STOXX ownership, ICE Climate and LSEG adjacency, Yield Book — which matters if your climate numbers need to live next to your market data rather than in a separate silo. One caveat on freshness: ISS STOXX
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Real-world workflow fit
Concrete scenarios for the personas Sust Global actually fits — and what changes day-one when you adopt it.
You need to assess climate risk across a 10,000-asset real estate portfolio for TCFD reporting.
Outcome: Within days, you upload your asset database, run scenario analyses under RCP 4.5 and 8.5, and generate TCFD-aligned reports with asset-level risk scores.
You evaluate wind energy assets for long-term climate resilience.
Outcome: Using Sust Global's wind speed models, you project changes in wind power output under different climate pathways, informing investment and divestment decisions.
Use Cases
- Assess climate risk exposure for a portfolio of 10,000 real estate assets under SSP2-4.5 and SSP5-8.5 scenarios.
- Generate TCFD-aligned climate risk reports for stakeholder and regulatory submissions.
- Identify high-risk assets in wildfire-prone regions for insurance underwriting.
- Integrate physical risk scores into an existing ESG investment workflow via API.
- Monitor changes in hazard exposure using satellite data feeds.
- Compare portfolio risk under multiple climate pathways to inform long-term decarbonization strategy.
Models Under the Hood
as of 2026-08-31
Limitations
- No public pricing or free tier; requires a sales conversation.
- Enterprise-focused, so small teams or individuals may find it inaccessible.
- Data granularity may vary by region.
- No self-service onboarding or community support.
as of 2026-08-29
Verification history
We have re-verified Sust Global 18 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 18 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Sust Global's pricing actually pencils out — and where peers do it cheaper.
Sust Global is a contact-sales product aimed at institutional investors and large asset managers. Pricing is not public, so it's best fit for enterprise budgets; smaller teams should expect high entry costs. Compare with Jupiter Intelligence for real-time risk, which may offer more flexible pricing for smaller portfolios.
Setup time & first value
How long it actually takes to get something useful out of Sust Global — broken out by persona, not the marketing-page minute.
Expect 1-2 weeks to get a demo and contract finalized, then a few days to upload and process your asset data. First results typically within a week of data onboarding.
Switching to or from Sust Global
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From in-house spreadsheets or GIS tools: Export your asset list (CSV or shapefile), upload to Sust Global's platform, and map your asset fields to their schema.
- ↗To Jupiter Intelligence or other climate risk APIs: Export your asset risk scores and reports, then import into your new system; expect some data transformation.
Integrations
Resources & Guides
- Resourcesustglobal.com
Sust Global Developer Center
Home of Sust Global’s developer tools, guides and reference documentation.
- Documentationsustglobal.com
Docs
Full product docs from sustglobal.com
- Guidesustglobal.com
Guides
In-depth how-to from sustglobal.com
- Resourcesustglobal.com
Faq
Helpful link from sustglobal.com
Tutorials & Learning
PAW Climate 2021 - Sust Global: Scalable Scenario Analysis Using Global Climate Models
Work on Climate
Sust Global - FinTech Innovation Lab London 2021 Graduation Day
FinTech Innovation Labs
YouTube returned 6 videos for “Sust Global”, and we withheld 4: 4 did not mention Sust Global. Showing the 2 we can prove are about Sust Global.
Official links
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Featured Head-to-Head Comparisons
Openagents vs Sust Global
If your organization needs institutional-grade physical climate risk analytics across millions of assets, Sust Global (now backed by ISS Stoxx) is the specialized choice. If you're a researcher or developer wanting to experiment with language agent frameworks for data, plugins, or web tasks, OpenAgents offers a free, open-source playground that you can run locally. The tools address completely different domains, so your decision hinges on whether you need climate risk intelligence or flexible language agent prototyping.
Klippa vs Sust Global
Choose Sust Global if you need geospatial AI for physical climate risk assessment across global portfolios, especially post-acquisition by ISS Stoxx. Choose Klippa if you need AI document processing with OCR, fraud detection, and spend management – it's a proven enterprise platform for finance and HR automation. They solve entirely different problems; your choice depends on whether your priority is climate analytics or document workflow automation.
Mostly Ai vs Sust Global
Choose Mostly AI if you need to generate high-fidelity synthetic data for ML or testing with strong privacy guarantees and multi-table support. Choose Sust Global if you're an institutional investor or asset manager requiring geospatial climate risk analytics for large portfolios, especially after its ISS Stoxx acquisition. The tools serve completely different purposes—synthetic data vs. climate risk—so your decision hinges on your domain.
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