About us

We built environmental risk intelligence for financial resilience.

ATLARIS was founded on one belief: environmental risks should not remain outside financial analysis.

Climate change, biodiversity loss, ecosystem degradation, and transition pressures are already reshaping how companies operate, invest, and create value. Yet too often, these risks are still treated as ESG disclosures, qualitative indicators, or opaque scores.

We built ATLARIS to change that.

Our mission is to help financial and ESG teams translate environmental risks into priced financial impacts across revenues, CAPEX, OPEX, and valuation.

No black-box ratings. No generic ESG scores. Just transparent, decision-ready risk variables that can be used in financial models.

Philosophy

Our beliefs.

Environmental risk is financial risk

Environmental risks are no longer distant or theoretical. They can affect revenues, increase costs, require new capital expenditure, and impact long-term valuation.

We believe these risks should be assessed with the same discipline as any other financial risk.

Move beyond ESG scores

Scores and ratings can simplify complexity, but they often hide the assumptions that matter most.

We believe analysts need transparent, traceable, and adjustable financial variables — not opaque outputs they cannot challenge or explain.

Bridge ESG and finance teams

ESG teams understand environmental risks. Financial teams understand valuation, credit, and investment decisions.

ATLARIS is designed to connect both worlds by translating environmental expertise into financial language.

Price risk to support better decisions

Identifying a risk is not enough.

To support action, environmental risks must be linked to financial drivers such as revenues, CAPEX, OPEX, and NPV. This is how companies, investors, and lenders can understand where value is exposed and where resilience needs to be built.

Combine science, data, and analyst judgment

Environmental risk cannot be reduced to a single automated score.

We believe the right approach combines scientific research, environmental data, economic analysis, stress-test scenarios, and user judgment. ATLARIS provides the structure, but users remain in control of assumptions and decisions.

Use AI to accelerate analysis, not replace expertise

AI can help analysts move faster from data to interpretation.

Our AI agent is designed to support analysis, explain financial impacts, and draft notes — while keeping assumptions transparent and expert judgment at the center of the process.