Riskthinking AI
RiskThinking.ai builds the patented Climate Digital Twin stochastic simulator and offers API, SaaS, and data products (CDTexpress, VELO App, VELO Data) for banks, insurers, asset managers, corporates, and regulators to measure physical climate risk at asset level across 193 countries.
- Company typePrivate
- Founded2020
- HeadquartersToronto, Canada
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Riskthinking AI does
RiskThinking.ai Inc. is a Toronto-based climate risk analytics software company founded in 2020 that builds the patented Climate Digital Twin (CDT™), a fully stochastic global climate simulator that runs billions of probabilistic simulations across 50+ climate hazards and physical assets worldwide. The platform converts climate science into financial metrics such as expected loss, tail risk, and probability distributions, and underpins three core products: CDTexpress (API access for developers and ERM integration), VELO App (a SaaS visualization and scenario analysis tool), and VELO Data (licensed physical asset and hazard datasets). The company's data footprint spans 6 million physical assets, 13,000 listed companies with 80,000 subsidiaries, 241 billion global locations, and coverage across 193 countries, and it operates with regional headquarters in Toronto (North America) and London (EMEA).
The business model combines subscription SaaS access to VELO App, usage-based pricing for CDTexpress API, data licensing royalties via VELO Data, and managed enterprise services for bulk data delivery. RiskThinking.ai monetizes primarily through enterprise and institutional customers in financial services (banks, asset managers, insurers), corporates, and public/regulatory bodies, with a freemium self-serve tier enabling product-led adoption before enterprise conversion. The go-to-market blends direct enterprise sales with major channel partnerships, most notably an exclusive embedding as the physical risk engine in the Bloomberg Terminal (reaching 350,000+ market participants), a strategic integration with Clarity AI (providing distribution into clients managing over $80 trillion in AUM), and selection by Canadian regulators OSFI-BSIF to power mandatory national climate stress tests for 400+ financial institutions. The firm remains privately held with a 1-10 person headcount and no disclosed external funding, and its near-term growth hinges on converting flagship regulatory and channel partnerships into recurring enterprise revenue.
Riskthinking AI firmographics
Firmographics- Name
- Riskthinking AI
- Legal name
- RiskThinking.ai Inc.
- Website
- https://riskthinking.ai
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- RiskThinking.ai builds the patented Climate Digital Twin stochastic simulator and offers API, SaaS, and data products (CDTexpress, VELO App, VELO Data) for banks, insurers, asset managers, corporates, and regulators to measure physical climate risk at asset level across 193 countries.
- Ownership category
- akta.pro rank
Riskthinking AI industry classification
Industry- Product category
- Climate Risk Analytics Software
- NAICS
- Software Publishers (5132), Scientific Research and Development Services (5417), Computer Systems Design and Related Services (54151)
- SIC
- Services-Commercial Physical & Biological Research (8731), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Financial Climate Stress Testing & Portfolio Analytics (Banks, Asset Managers, Insurers) (EUABALAE)
- akta.pro secondary industries
- Climate Hazard & Catastrophe Modeling (Flood, Wind, Wildfire, Heat, Sea-Level Rise) (EUABALAA), Asset- & Location-Level Exposure/Vulnerability Analytics (Geospatial, Digital Twins, Critical Infrastructure) (EUABALAC), Climate Risk Reporting & Disclosure Analytics (TCFD/ISSB, EU Taxonomy, CSRD, NAIC) (EUABALAG), Climate Risk & Scenario Analysis (TCFD/IFRS S2) (EUAHAJAD)
Keywords
Where Riskthinking AI is headquartered
LocationHeadquarters
- HQ city
- Toronto
- HQ country
- Canada
- HQ region
- North America
Offices2 records
Markets served
Riskthinking AI business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Revenue model
- VELO Data Licensing: License of physical asset data, climate hazard projections, and risk analytics. Includes sovereign risk analytics, agriculture yield analytics, grid outage analytics, and ports disruption analytics delivered in machine-readable formats.
- CDTexpress API Access: High-performance API access to Climate Digital Twin with volume-based, usage-based pricing. Pay only for what you use with transparent tracking tools.
- VELO App Platform: SaaS platform access for climate risk visualization and analysis with preloaded physical assets and market indices.
- Enterprise Solutions: Custom scheduled bulk-data deliveries and on-demand API access for enterprise-wide climate risk integration.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | VELO App - Free tier with basic access |
| Subscription | Annual | VELO App / Data - Paid enterprise tiers |
| Usage-based | Pay-as-you-go | CDTexpress API - Volume-based usage pricing |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels4 records
Riskthinking AI product offering
Product offeringCore offering
RiskThinking.ai builds and sells a proprietary Climate Digital Twin (CDT™) platform that runs fully stochastic climate simulations to convert physical climate science into financial risk metrics. It offers three commercial products — CDTexpress (an API for custom climate risk modeling and enterprise ERM integration), the VELO® App (a SaaS visualization tool covering 14,000 companies and their physical assets), and VELO® Data (licensed climate hazard and physical asset datasets) — for banks, insurers, asset managers, corporations, and governments.
Product overview
Riskthinking AI offers a platform-plus-modules architecture built around its Climate Digital Twin (CDT). The core CDT platform provides stochastic climate simulations across 50+ hazards for 6 million physical assets globally. Three main products extend this platform: CDTexpress provides API access for custom modeling and enterprise integration; VELO App delivers visualization and scenario analysis for non-technical users covering 14,000 companies and their subsidiaries; and VELO Data licenses underlying datasets including physical asset data, climate hazard projections, and specialized analytics modules for sovereign risk, agriculture, ports, and grid disruption.
Differentiator
Problem solved
Functional benefit
Brands
- VELO®: Climate physical risk simulation platform covering companies, real estate, and infrastructure worldwide. Covers 14,000 companies and their 80,000 subsidiaries with seven million material physical assets.
- CDTexpress™
Products and services
- CDTexpress A digital twin of the world's uncertain climate that provides high-performance API access to the Climate Digital Twin for real-time data extraction and custom risk modeling. It integrates with Enterprise Risk Management (ERM) systems in banks, insurance, and asset management, includes pre-built Jupyter Notebooks and Python SDK support, and is documented at https://riskthinking.ai/products/cdt-express/.
- VELO App A SaaS application that uses CDTexpress to simulate the climate physical risk of companies, real estate, and infrastructure worldwide. Covers 14,000 companies and their 80,000 subsidiaries with seven million material physical assets, providing dynamic visualization, real-time scenario analysis, and advanced mapping tools. Available via a free signup tier and paid enterprise subscriptions at https://riskthinking.ai/products/velo-app/.
- VELO Data A licensed data product providing physical asset data and climate hazard projections: 13,000 listed companies, 6 million physical assets, 50+ climate hazards, multifactor scenario data, asset damage analytics, grid outage analytics, agriculture yield analytics, sovereign risk analytics, and ports disruption analytics, delivered in machine-readable formats at https://riskthinking.ai/products/velo-data/.
Quantifiable outcome
- Captures >95% of black swan events (vs. ~5% pricing in traditional financial models)
- +1 more outcomes
Companies that use Riskthinking AI
Customer profileNamed customers4 records
Segments5 records
Ideal customer profiles5 records
Riskthinking AI technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature8 records
Riskthinking AI partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered flagship and core.
- Clarity AIflagshipStrategic partnership to integrate asset-level physical climate risk modeling into Clarity AI's platform. Provides visibility into over 3 million individual assets across 15,000 ultimate parent companies. Clarity AI's clients collectively manage more than $80 trillion in Assets Under Management. The collaboration enhances climate risk analysis for financial institutions by providing granular data and advanced modeling capabilities.
- BloombergflagshipLaunched new physical climate risk data product available on Bloomberg Terminal, providing risk scores for approximately one million assets globally based on acute physical risks (floods, wildfires, extreme heat, storms). Covers short- and medium-term time frames up to 2050 and can be aggregated to firm level for about 48,000 corporates. RiskThinking.AI is the exclusive physical risk engine for Bloomberg Terminal serving 350,000+ market participants.
- Canadian Regulators (OSFI-BSIF)coreSelected by Canadian regulators to power flood risk analysis for national financial sector climate stress test. Serves as the chosen platform for Canada's mandatory, system-wide climate stress tests for 400+ financial institutions.
Scale indicators10 records
Recent moves6 records
Expansion highlights6 records
Riskthinking AI competitors and assessment
Company assessmentBroad incumbents
- Munich Re (nat cat solutions): Global reinsurer with deep climate risk modeling capabilities via nat cat services and proprietary risk analytics. Targets insurance and financial institution clients with established catastrophe modeling heritage comparable to RiskThinking.ai's stochastic approach.
- S&P Global (Trucost / Sustainable1): Provides physical and transition climate risk data, carbon analytics, and ESG intelligence to financial institutions. Competes for similar bank, insurer, and asset manager budgets with much broader data portfolio.
- MSCI (Climate Risk Solutions): Major ESG and climate data provider serving financial institutions with portfolio-level climate risk analytics. Comparable target market and use cases, though MSCI operates at much larger scale across the broader ESG data ecosystem.
- Bloomberg (ESG & Climate Data Products): Distribution partner that also develops native ESG and climate data products. While RiskThinking.ai is the exclusive physical risk engine, Bloomberg itself could expand internal capabilities, creating both a partnership and a potential competitive threat.
- Moody's (Four Twenty Seven): Acquired Four Twenty Seven in 2019 to offer physical climate risk analytics for financial institutions. Directly comparable in asset-level climate risk scoring and serves banks, asset managers, and insurers with much larger scale and resources.
Direct peers
- Ortec Finance: Provides climate risk and economic scenario modeling for pension funds, asset managers, and financial institutions. Comparable focus on climate stress testing and scenario analysis for financial sector clients.
- Cervest: AI-powered climate risk analytics platform providing asset-level physical climate risk data for enterprises and financial institutions. Directly comparable in probabilistic climate modeling and stress testing use cases.
- Jupiter Intelligence: Climate risk analytics platform focused on physical climate risk modeling for financial institutions, corporations, and governments. Offers asset-level and portfolio-level risk scoring with comparable target customers and use cases.
- Clarity AI: Sustainability and ESG analytics platform serving financial institutions managing $80T+ AUM. Active strategic partner that also offers its own climate risk analytics, making it both a partner channel and a partial competitor for similar enterprise clients.
Emerging players
- Climate X: Specialized climate risk analytics platform offering asset-level physical climate risk data for real estate, infrastructure, and financial portfolios. Comparable emerging competitor with similar probabilistic climate risk methodology focus.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat6 records
Key risks6 records
Key highlights7 records
Customer concentration
Riskthinking AI social profiles
Digital presenceRiskthinking AI financial estimates
Financial estimateRevenue estimate
Valuation estimate
Riskthinking AI leadership team
Management profileNumber of profiles
Profiles1 record
Riskthinking AI funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Riskthinking AI M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Riskthinking AI
What does Riskthinking AI do?
RiskThinking.ai builds and sells a proprietary Climate Digital Twin (CDT™) platform that runs fully stochastic climate simulations to convert physical climate science into financial risk metrics. It offers three commercial products — CDTexpress (an API for custom climate risk modeling and enterprise ERM integration), the VELO® App (a SaaS visualization tool covering 14,000 companies and their physical assets), and VELO® Data (licensed climate hazard and physical asset datasets) — for banks, insurers, asset managers, corporations, and governments.
Is Riskthinking AI a public or private company?
Riskthinking AI is a private company. It is classified as unknown and is currently operating.
When was Riskthinking AI founded?
Riskthinking AI was founded in 2020. It employs 1 to 10 people.
Where is Riskthinking AI based?
Riskthinking AI is headquartered in Toronto, Canada, in the North America region.
How does Riskthinking AI make money?
Four revenue lines are on record. VELO Data Licensing is the primary driver. The others are CDTexpress API Access, VELO App Platform and enterprise Solutions.
Who are Riskthinking AI's main competitors?
Broad incumbents on record are Munich Re (nat cat solutions), S&P Global (Trucost / Sustainable1), MSCI (Climate Risk Solutions), Bloomberg (ESG & Climate Data Products) and Moody's (Four Twenty Seven). Direct peers are Ortec Finance, Cervest, Jupiter Intelligence and Clarity AI. Climate X is listed as an emerging player.
Does Riskthinking AI have an API?
Yes. High-performance API providing direct access to the Climate Digital Twin (CDT) for real-time data extraction and enterprise system integration. Includes pre-built Jupyter Notebooks for accelerated development and comprehensive documentation for fast onboarding. Developer documentation is at riskthinking.ai/products/cdt-express.
What industry is Riskthinking AI in?
Riskthinking AI's product category is Climate Risk Analytics Software. Its primary akta.pro industry code is EUABALAE, Financial Climate Stress Testing & Portfolio Analytics (Banks, Asset Managers, Insurers), with a secondary code of EUABALAA, Climate Hazard & Catastrophe Modeling (Flood, Wind, Wildfire, Heat, Sea-Level Rise). Its NAICS code is 5132 and its SIC code is 8731.