Research

Graph-first infrastructure intelligence (research)

We build research prototypes for mapping dependencies and exploring cascading risk across complex systems. The emphasis is decision support and analysis.

Schedule a meeting Back to the map

Directed graphs Dependency mapping Scenario planning Cascading risk

Dependency graph modeling

Build graph representations of systems: entities as nodes, relationships as edges, and queryable paths that explain “what depends on what”. This work is research-first and intended for analysis and decision support.

Ontology + schema design (kinds, relationships, provenance)
Graph queries for exposure / dependency / choke-point reasoning
Uncertainty + provenance labeling (what is known vs inferred)
Reproducible experiments and evaluation
Prototype UI for exploration

Lens + retrieval prototypes

Prototype “lenses” that slice a graph/map into a focused view, and retrieval components that attach relevant context and sources.

Lens APIs (scoped views with budgets, filters, and provenance)
Source attribution + evidence panels
Retrieval experiments for reports / signals (research-first)

Data ingestion + normalization

Build ingestion pipelines that fetch, normalize, cache, and serve third-party datasets for analysis.

Dataset adapters with caching + TTL
Normalization + dedupe + ID strategy
Offline bundles for reproducible research

APIs for research tooling

Simple APIs that serve datasets and lens outputs to interactive demos and notebooks.

REST/JSON endpoints for lens execution
Dataset status + refresh controls
Reproducible exports (GeoJSON/JSON)

Interactive demos

Human-in-the-loop interfaces for exploring networks, testing scenarios, and inspecting provenance.

Map + graph exploration UI
Selection inspectors with evidence/provenance
Performance guards for large datasets

Approach

Research grounded in clarity, provenance, and reproducibility

We build graph + map prototypes with explicit provenance: what is observed, what is inferred, and what is uncertain. The goal is decision support and research iteration.