Earthian joins Nvidia Inception program, raises capital at $112M. Learn more
Earthian AI enables a financial inference layer that prices risk directly into capital. Today's financial systems rely on aggregated data. Earthian reasons over assets and risks to generate pricing-ready intelligence. This creates a new layer of financial infrastructure; moving beyond the data-centric platforms â like S&P Global, Moody's, and Bloomberg â toward inference-driven decision systems.
Our foundational financial risk research model is powered by high-precision reasoning and superior risk model performance, giving global financial institutions a competitive edge in markets, risk research, and pricing.
Our team includes scientists, AI researchers, and executives with experience at Harvard, Massachusetts Institute of Technology, Moody's, UBS, AON, Allianz, and Accenture. We partner with pioneering investors and asset managers overseeing more than $3 trillion in AUM to build specialized small language models engineered exclusively for financial reasoning.
Our mission is to transform traditional data-driven financial models used by leading trading firms and asset managers into inference-first AI systems that deepen human understanding of risk, support better judgment, and enable more transparent, resilient financial decision-making. Our work aims to strengthen the stability and integrity of financial markets, benefiting society by reducing systemic risk and supporting more responsible economic outcomes.
All of our published models are benchmarked against leading financial data providers and demonstrate superior inference performance at the time of public release. Some of our models are currently in the market and used by global financial firms:
Lucid Climate-0 Model â the most accurate asset-level environmental risk underwriting model available today.
ESG Evergreen-0 Model â a sustainability and ESG risk intelligence model spanning public, private, and firm-level risk signals.
Geopolitics Axiom-0 Model â a high-precision geopolitical risk intelligence model for macro, market, and country-level exposure analysis.
Technology Tenet-0 Model â a purpose-built technology risk small language model (SLM) designed to assess, interpret, and explain technology risk across systems, supply chains, and investment portfolios.
Cybersecurity Ichnos-0 Model â an inference model built to trace AI-native cyber attacks and non-compliant AI agent activity on enterprise systems. Originally developed for the financial sector, Ichnos-0 now provides cross-sector intelligence for detecting and tracking abnormal AI agent behaviour.
NatCat Lighthouse-0 Model â a purpose-built natural catastrophe risk small language model (SLM) designed to assess, interpret, and explain natural catastrophe risk across assets, portfolios, and geographic regions.
See how leading insurers, banks, asset managers, and real estate teams use Earthian to price risk faster, improve consistency, and stay ahead of emerging exposures.
Insurance
âEarthian AI addresses a real market gap: continuous, asset-level perception of climate and geopolitical risk in compliance-bound environments requires accuracy, explainability, and timeliness to be solved together, not traded off.â
Product Manager
Europe's Largest Insurer · EU
Technology investing
âEarthian differentiates itself through physics-based risk analytics and the use of Small Language Models, which were previously unavailable in the risk intelligence sector. The platform leverages over 10x more alternative data sources than traditional competitors.â
Investor
Tier-1 Global Technology Investor · California
Risk Consultancy
âThe most relevant aspect is the ambition to transform fragmented upstream signals into one auditable decision object that can be reviewed, challenged and documented within institutional workflows.â
Insurance Partner
Tier-1 Big Four Consultancy · UK
AI infrastructure
âEarthian's emphasis on model accuracy, explainability, and API-first delivery is well aligned with the needs of institutions that must make defensible decisions on underwriting, portfolio resilience, and infrastructure exposure.â
GTM
Leading US AI Model Developer · San Francisco
Asset Management
âIn my view, the most important positive observation is that Earthian AI is not trying to add another isolated analytics tool to an already crowded risk stack. Its approach is to reduce manual stitching at the decision point by combining specialized models, geospatial context, and orchestration logic into one governed output.â
Senior Economist
Germany's Largest Asset Manager · Germany
Credit Ratings
âRatings infrastructure was built for public markets. Private credit tripled without it. That gap is where a company like Earthian gets to matter.â
Assistant Director
Big Three Credit Rating Agency · New York
| Risk Intelligence Features | Earthian | Moody's | Bloomberg | MSCI |
|---|---|---|---|---|
| Inference-Driven AI Models | ||||
| Asset-Level Climate Risk Analysis | ||||
| Forward-Looking Risk Intelligence | ||||
| Real-Time Risk Updates | ||||
| Explainable Risk Assessments | ||||
| Compound Event Assessment | ||||
| Specialized Risk SLMs (Climate, NatCat, Geopolitics, Tech, Cyber) | ||||
| Integrated Multi-Dimensional Risk Analysis | ||||
| System-Level Risk Propagation Analysis |
