Cleared. Senior. Lean. Available to primes, defense tech firms, and IC agencies as a teaming partner or senior subcontractor, not as overhead.
BlueLens Analytics is the legal vehicle for an independent geospatial intelligence practice. The model is the architectural firm or the serious legal practice, not the venture-backed startup. One principal. Real depth. Carefully selected engagements. Substantive work over volume.
The practice exists because the cleared GEOINT space is full of two failure modes that both produce expensive bad work. Large primes carry overhead structures that price senior tradecraft out of the deliverable. Body shops carry senior tradecraft on paper that does not show up in the deliverable. The independent practice cuts both. One name on the contract. One name doing the work. No layers between the customer and the capability.
The practice provides three forms of engagement. Teaming as a subcontractor on prime-led pursuits where senior cleared GEOINT credibility strengthens the proposal narrative and the delivery posture. Technical consulting on geospatial AI, SAR-based change detection, and multi-sensor GEOINT engineering. Capability development under SBIR and OTA mechanisms where BlueLens has demonstrable technical depth.
Christopher L. Coffey, GISP, GA-II. Twelve years inside the National Geospatial-Intelligence Agency at the GS-14 level. Tech Lead for Project Maven. Development Lead for the Geospatially Enabled Target Materials (GETM) program. Embedded operational deployments with JSOC, SOCOM, and theater J2 elements across AFRICOM, CENTCOM, and INDOPACOM, including RAF Molesworth. Five confirmed professional awards. Certified GIS instructor at the National Geospatial-intelligence College. OSGeo member. Active TS/SCI with polygraph.
Background spans three decades of geospatial work, from early imagery analysis through production computer vision systems at theater scale. Strong open-source GIS posture (QGIS advocate inside NGA since 2015). Deep experience with multi-sensor fusion, automated feature extraction, and the operational realities of getting a GEOINT capability through accreditation, fielding, and analyst adoption.
Current focus is geospatial AI engineering with an emphasis on SAR change detection at theater scale. Active development of AURORA, a sensor-agnostic SAR change detection system, in support of an active SBIR Phase I pursuit. Concurrent technical writing on the philosophy and practice of geospatial intelligence outside the dashboard-and-SaaS frame.
Six areas where the practice does its best work. Each one has been exercised inside NGA, at JSOC, or in current BlueLens engagements. Capability claims are bounded by what can be cited.
Synthetic aperture radar processing, change detection, multi-sensor fusion. Sentinel-1, ICEYE, Capella, Umbra. End-to-end pipelines from raw acquisition through analyst-ready polygon output. Operational discipline in radiometric calibration, geocoding, and provenance management.
Production-grade computer vision systems at theater scale. Project Maven lineage. Feature extraction, object detection, segmentation. PyTorch and segmentation-models-pytorch stack. Honest about what generic warm-starts can and cannot do; serious about domain-specific pretraining when accuracy matters.
Strong open-source GIS posture. QGIS, GDAL, GeoPandas, rasterio, PostGIS. Custom geoprocessing pipelines, spatial data engineering, coordinate-system discipline, custom plugins and toolchains for QGIS deployment inside federal environments.
Model deployment, inference pipelines, scheduler-driven monitoring, alerting, REST integration. Citability-gated provenance enforcement so analytical claims survive proposal review and customer audit. ML that ships rather than ML that demos.
Senior tradecraft for the GEOINT product layer that targeting cells, JSOC elements, and theater J2 directorates depend on. Object characterization, pattern-of-life analysis, and change monitoring delivered at operationally relevant tempo. Multiple embedded deployments with operational consumers in AFRICOM, CENTCOM, and INDOPACOM theaters, including RAF Molesworth. Useful GEOINT is judged downstream by the consumers, not upstream by the people who produced it.
Open-source GIS replacement of vendor-licensed tooling. ESRI license-cost engineering. Cloud cost discipline on geospatial workloads. Where commercial GEOINT platforms charge per-acre or per-seat in perpetuity, BlueLens replaces them with auditable open-source pipelines the customer actually owns.
BlueLens is engageable through multiple federal contracting mechanisms. The list below is non-exhaustive. Other vehicles are workable depending on customer preference.
What the practice is actively building. Public-facing portion below. Other engagements are subject to customer disclosure preference.
Sensor-agnostic synthetic aperture radar change detection system. Operational today on Sentinel-1. Designed to accept the imagery you actually have, not the imagery you wish you had. Active SBIR Phase I pursuit against the DoD SBIR 26.1 cycle.
The system processes paired SAR acquisitions, applies adaptive Otsu thresholding with component-aware edge handling, and produces analyst-ready change polygons with full provenance metadata. Five-stage pipeline backed by a SQLite scheduler, multi-channel notifier, analyst-in-the-loop queue, and Flask REST API. Built for theater-scale monitoring without the cost structure of commercial GEOINT platforms.
Read the Technical Brief →Four ways to engage the practice. Each is scoped to fit the principal's bandwidth and the customer's actual problem.
Inquiries from primes, federal stakeholders, and serious technical collaborators are welcome. A direct email with the program context, contract vehicle, and timeline will get a substantive response within one business day.
BlueLens does not respond to mass capability statement requests, generic teaming-partner directories, or unsolicited body-shop intermediaries. Inquiries from SaaS aggregators, dashboard integrators, or organizations seeking to white-label any current or future BlueLens capability will not be answered.