Selected Projects

Representative analytic demonstrations and prototype systems showing how DataField Intelligence translates interpretable AI, complex-systems modeling, and secure analytics into operationally relevant capabilities. These summaries are intentionally concise; detailed technical materials are available upon request.

Mission Applications

SpaceField

System-level anomaly detection for satellite constellations

SpaceField is a system-centric analytic framework for monitoring satellite constellations as evolving geometric systems rather than as isolated objects. Using topological data analysis and history-aware comparison metrics, it identifies distributed structural changes that conventional per-satellite monitoring can miss. In demonstration analysis, SpaceField detected sustained constellation-level regime shifts even when individual-satellite anomaly scores remained nominal, supporting early-warning monitoring for elevated activity and reconfiguration in the space domain.

SwarmField

Coordination and resilience analytics for autonomous swarms

SwarmField analyzes swarm telemetry as a coupled dynamical system. It builds an information-theoretic dependency graph from agent behavior, identifies the swarm’s weakest-coupled partition, and tracks a time-resolved coordination metric to reveal fragmentation, regime shifts, and recovery after disturbance. Demonstration results show sensitivity to alignment tuning, leader–follower control, communication degradation, stochastic noise, and sparse-scaling tradeoffs—making SwarmField useful for resilience benchmarking, anomaly detection, and controller evaluation.

PlumeField

Rapid probabilistic plume footprinting for screening and scenario triage

PlumeField converts offline wind climatology into GIS-ready probability-of-exceedance contours using a lightweight Monte Carlo plume-screening model. It is designed for fast exploratory analysis when time, data, or compute are limited. In the demonstration suite, a baseline scenario generated three contour levels in 8.5 seconds, while sensitivity sweeps showed interpretable changes with source strength, release height, and local meteorology. PlumeField is best positioned as a screening-grade capability for rapid decision support and parameter sweeps.

Core Analytic Infrastructure

SIMPLEX

Deployable persistent-homology engine for operational topological analytics

SIMPLEX is a narrow, exact persistent-homology engine designed for low-latency, auditable workflows. It focuses on exact H0/H1 computation for curated metric and graph workloads, with deterministic execution, explicit provenance, and a compact runtime surface suitable for deployment. In benchmark testing, SIMPLEX matched accepted reference outputs across all tested cases while substantially reducing runtime and memory relative to comparison tools, supporting operational use of topological analytics beyond the research notebook.

Interested in how one of these capabilities could map to a mission problem, program need, or research partnership? Contact Datafield Intelligence to request a technical briefing or discuss a tailored prototype.