Harness Cause
& Effect to Guide Critical Decisions

Harness Cause & Effect to Guide Critical Decisions

As complexity grows across every sector, organizations need smarter tools to navigate uncertainty and make high-impact decisions with confidence.

About us

As complexity grows across every sector, organizations need smarter tools to navigate uncertainty and make high-impact decisions with confidence.

Anthos is pioneering a new kind of intelligence platform designed to overcome a critical limitation of traditional machine learning: its inability to predict how systems will respond to interventions it hasn’t seen before.

We use advanced AI agents with proprietary causal reasoning methods to capture insights from both experts’ tacit knowledge and organizational data. These insights are transformed into clear cause-and-effect models that reveal how critical systems behave and where 2nd- and 3rd-order risks may emerge. By embedding these models directly into workflows, we automate expert understanding and make it easier to anticipate the downstream impact of decisions.

The result: clarity that drives action, automation that scales expertise, and decisions that transforms uncertainty into a competitive advantage.

Our Process

Uncover Underlying Mental Models

We help organizations decode how their experts make decisions by capturing tacit knowledge through targeted interviews and discussions. This process transforms implicit mental models into formal causal relationships, creating a clear representation of the organization’s unique worldview and problem-solving approach.

Connect Data Ecosystem

We integrate data from diverse sources and enrich it with expert context to reveal what the data truly represents and the conclusions it can reliably support. On this foundation, Anthos builds robust causal models that anticipate how your systems will respond to new interventions, turning raw information into meaningful causal understanding.

Run Causal Simulations

With a refined understanding of how critical systems operate, and the data that underpins them, teams can run causal simulations to anticipate the impacts of different courses of action.

Deploy Intelligent Systems

Anthos can take validated models and embed the causal decision support they represent directly into and organization's operations. This enables automations via intelligent triggers based on thresholds and tipping points — driving faster learning, sharper adaptation, and actionable intelligence seamlessly integrated into your critical workflows.

Areas of Application

Anthos is currently exploring applications of its platform to identify and mitigate risk across key sectors.

View work

Climate Risk Management

By using causal modeling to connect our understanding of water, energy, and land-use decisions in new ways, our approach could help evaluate the impacts of water conservation mandates, drought response strategies, and climate-smart agriculture programs on both resilience and emissions.

FOAK Deployment

Anthos has the potential to transform how First-of-a-Kind technologies are deployed by closing the predictability gap that makes them costly, slow, and risky. Our approach could reveal hidden scaling dynamics, emergent behaviors, and systemic interdependencies that traditional risk tools miss.

Energy

Causal modeling has the potential of revealing hidden vulnerabilities and cascading risks that traditional tools typically miss. Our approach could help utilities integrate renewables more confidently, anticipate how the grid might respond to stress and enable faster interconnections.