eBase Analytics builds AI and machine-learning software for space domain awareness, space situational awareness, and threat characterization — turning sensor data and orbital intelligence into decisions the operators on the watch floor can act on.
Six capability areas. One system of thought. From the raw orbital catalog to the answer the watch officer reads first thing in the morning — eBase covers the full pipeline.
Continuous characterization of the resident space population — orbits, behaviors, intent, and threat. The picture an analyst can defend in a brief.
Real-time orbital state, conjunction screening, and proximity events — fused across sensors and operator-friendly to read at speed.
Trajectory profiles, behavioral classification, and feasibility modeling — the layer that turns a maneuver into an assessed adversary action.
Modern ML for trajectory inference, behavioral classification, predictive maneuvering, and pattern detection — applied where it earns its keep.
The layer above the data feeds. Specific, traceable, brief-ready answers to the question every watch officer asks first.
Custom analytical software, dashboards, and integrations — built around real operator workflows, deployable on government cloud or on-prem.
eBase doesn't sell a single tool — we deliver capability across the operational problem space. Different mission, same engineering: AI built for the watch floor, grounded in eBase API ground truth, doctrine-aligned, deployment-ready.
Detect non-cooperative rendezvous, terminal-braking approaches, and inspection profiles across the GEO belt. Identify maneuver fingerprints before the conjunction event.
Conjunction screening, decision-window forecasting, and operations support for LEO constellation owners. Schema-agnostic ingest across PWSA tracking-layer, OMTF, and BMC3 buses.
Multi-object behavioral characterization, campaign detection across persisted engagement windows, and adversary tradecraft modeling. SME-validated pattern libraries with operator override.
Operator-grade decision support — natural-language analysis, classification banners, exportable PDFs, doctrine references. Built for shift handoffs and brief preparation.
Vendor-isolated kernel + tempo-aware fusion + active provenance ledger across EO, SAR, RF, AIS, weather, and OSINT feeds. Operator can audit every cell back to its sensor of record.
SMEs encode tribal knowledge mid-chat. SME-gated approval promotes it system-wide. The fleet learns from how operators actually run the mission — without retraining a model.
We sit between the data infrastructure and the operator. We don't replace the systems you trust — we make them faster, clearer, and more defensible.
Live orbital data, sensor feeds, mission histories, doctrine references, and OSINT — fused into one operationally-coherent picture.
AI and ML across the stack — characterizing behaviors, predicting maneuvers, classifying intent, modeling feasibility, citing every source.
Operator-grade UX. Plain-English questions. Brief-ready answers. Doctrine-aligned. Auditable. Ready for the watch floor.
Threats and operations span the full belt — LEO traffic, MEO navigation, GEO communications and missile-warning, and the cislunar approach corridor. eBase covers them all, in one coherent operating picture.
Defense, intelligence, civil, and commercial — eBase's software is built around the role of the operator. Different missions, same need: faster, clearer answers from complex data.
Threat characterization, mission-impact assessment, and operator decision support — built for combatant commands, joint operations centers, and the watch floor.
Pattern-of-life analysis, behavioral characterization, and adversary tradecraft modeling — surfacing the questions analysts haven't yet asked.
Mission planning, conjunction screening, and orbital regime analytics — for civil agencies, university research programs, and FFRDC partners.
Constellation safety, conjunction events, and operational analytics — for satellite operators, launch providers, and the commercial space economy.
SIA is our flagship — a deployed AI decision-support platform on a U.S. Space Force operator pilot. Around it sits a working portfolio of mission software, research programs, and advisory engagements. Different shapes, same engineering DNA.
A natural-language decision-support platform for the watch floor. Operators ask in plain English. SIA reasons across live data and doctrine, then renders the answer the way the mission needs to read it. Live in production on AWS App Runner with U.S. Space Force pilot users.
eBase is a small, technically-deep team. We deliver across three shapes — productized software, government research programs, and direct mission advisory.
Schema-agnostic data ingest, behavioral classification, and operator-grade decision support — engineered to your specific mission, sensor stack, and doctrine. Embedded engineering teams or build-and-handoff delivery.
Ongoing internal research across sensor fusion, behavioral modeling, and AI-native decision support — extending the product line and pushing new capability into the operator's hands as the threat picture evolves.
Capability gap reviews, red-team detection-blind-spot analysis, doctrine-alignment audits, and AI-readiness assessments for combatant commands and program offices. Briefing-grade deliverables.
eBase Analytics is a defense-technology company focused on space domain awareness, space situational awareness, and the AI / ML systems that turn that data into decisions. We work alongside the operators who sit on the watch floor — engineering for the way work actually happens.
Every feature ships only after a real operator has used it on real data. The watch floor is the design partner.
Built around the rules, thresholds, and language the mission already uses. New tools should fit, not replace.
AI-native where it earns its keep — invisible to the operator, defensible to the auditor, ready for the inspector general.
The best way to understand what we build is to watch it answer a real question. Tell us what you're working on and we'll walk you through a live demo — yours, on your data, no boilerplate.