Expert Systems for nature-related risk assessments.

Ecognos turns ecological complexity into decision-grade evidence for financiers and corporates.

Ecognos is an AI-enabled expert system for nature-related risk assessment and due diligence.

The system is grounded in a knowledge graph architecture aligned to a custom ontology (DIRO schema) and designed to ingest technical reports, scientific literature, environmental assessments, and spatial/ecological data to produce audit-ready, evidence-based insights suitable for TNFD-aligned decision-making.

What it does

With Ecognos, risk analysts can focus on assembling the best available evidence on assets, activities, and ecosystems, then produce a structured risk narrative you can audit and defend.

It’s not a “dashboard,” but a system that can justify conclusions with traceable sources.

• It provides evidence-first answers (citations, provenance, and visual grounding back to source documents)
• It supports ontology-aligned reasoning (TNFD/DIRO schemas, explicit concepts and relationships)

It uses an AI-enabled hybrid retrieval strategy using knowledge graphs to reason over evidence in context.

Ecognos expert systems support risk analyst’s to:

• Assess nature dependency and map impact pathways
• Perform materiality screening and issue triage for due diligence
• Identify early warning signals (incident precursors, regulatory shift, community conflict indicators)
• Create repeatable workflows for case-by-case assessment and portfolio rollups

Who it’s for

Built for teams that are evolving nature risk assessments beyond generic sector averages—and who need explainable results, not black boxes.

• Credit risk, E&S due diligence, project finance (Equator Principles / IFC PS), and portfolio stewardship
• Corporate risk and sustainability teams managing high-impact assets
• Consultants who need faster in-depth analysis and synthesis without losing evidentiary rigor

How it works

The system ingests technical documents and spatial context, extracts claims into a domain graph aligned to domain concepts (impact pressure, ecosystem service, nature risk), and retrieves grounded evidence for each question—then composes a response with explicit provenance.

• Document ingestion (PDFs - reports, permits, monitoring data) with chunk-level metadata
• Knowledge graph construction aligned to a custom Nature TNFD DIRO ontology (entities, causal links, risk mitigations)
• Creates a risk register and assessment workflow supported by a hybrid retrieval and evidence ranking strategy
• Report generation with citations, reasoning traces, and visual grounding (source-page bounding boxes)

What makes it different

Most “AI for ESG” products optimize for standards alignment and document summaries. Ecognos brings in domain knowledge and aligns with leading nature risk assessment frameworks.

Ecognos optimizes for defensibility: the ability to show your workings when someone challenges the conclusion.

• Transparent reasoning path: concepts → evidence → conclusion
• Lower narrative risk: fewer gaps filled by assumptions, proxies and sector averages
• Composable: works with your sources, your taxonomy, your decision workflow

Contact

If you’re evaluating nature risk for underwriting, lending, investment, or asset management, Ecognos can be configured for a focused pilot around one sector and a small set of priority assets.

• Pilot outcome: a defensible assessment workflow + evidence library + repeatable workflow
• Typical scope: 2–4 weeks for a first “decision-grade” use case