Aankondiging

Earthian sluit zich aan bij het Nvidia Inception-programma, haalt kapitaal op tegen $112M. Meer informatie

Aankondiging

19-12-2025Ā·4 min read
Earthian AI's Technology Tenet-0: The world's first technology risk inference small language model (SLM)

Introducing Earthian AI's Technology Tenet-0: The world's first technology risk inference small language model (SLM), enabling financial institutions to assess and price technology-related risks with unprecedented precision.

Technology risk in capital markets

A single technology shift can materially reshape the narrative of even the largest companies. Investors and risk professionals need to understand how innovation, defensibility, dependency structures, and competitive dynamics translate into financial outcomes.

Technology risk is forward-looking, dynamic, and highly interconnected — static assessments and qualitative narratives are insufficient for precise inference or for explaining how innovation cycles propagate into portfolio-level outcomes.

Inference-native technology risk

Technology Tenet-0 is a purpose-built technology risk SLM designed to assess, interpret, and explain technology risk across systems, supply chains, and investment portfolios.

Technology Tenet models are trained on patents, scientific publications, SEC filings, company announcements, quarterly earnings, historical technology analogies, and forecasts of technological shifts.

For institutional investors managing trillions in assets, this enables bespoke indices and risk profiles with the potential to reduce prediction errors by up to 30% in volatile, tech-heavy markets.

Use cases

Case studies

Technologie-investeringen

ā€œEarthian 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.ā€

Investor

Tier-1 Global Technology Investor · Californië

AI-infrastructuur

ā€œEarthian'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.ā€

GTM

Toonaangevende Amerikaanse AI-Modelontwikkelaar Ā· San Francisco

Vermogensbeheer

ā€œIn 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.ā€

Senior Econoom

Duitslands Grootste Vermogensbeheerder Ā· Duitsland