Pythia — Predictive Threat Intelligence
Threat intelligence,
into mission advantage.
Pythia predicts co-orbital threats before they occur — simulating tens of thousands of plausible maneuvers, scoring the risk of each, and surfacing the highest-risk futures. KKV-first, and extensible to RPO, spoofing, and jamming.
The Problem
"We have data on every maneuver. We don't have time to analyze all of it before a decision needs to be made."
Space Domain Awareness Analyst
A kinetic kill vehicle engagement can begin and conclude before a sensor is ever cued — while thousands of potential engagement opportunities emerge in orbit every day. Scoring only what has already happened leaves the response a step behind the threat.
More analysts won't close that gap. Getting ahead of it will.
The Product
A threat simulation catalog
Pythia is a Threat Simulation Catalog and predictive analytic. It evaluates tens of thousands of plausible maneuver hypotheses and assigns a risk score to each — so operators focus on the highest-risk futures instead of chasing every track. Fully API-enabled and cloud-native, it fits the systems you already run.
- Tens of thousands of maneuver hypotheses, scored
- Ranked by risk, low-risk futures filtered out
- Cloud-native, integrates via open API
Pythia ranks satellite maneuvers by composite risk — intent, engagement success, and severity.
Predictive Threat Modeling
Anticipate, don't react
Pythia builds large-scale libraries of plausible co-orbital maneuvers and scores the futures that matter before they play out. It starts with kinetic kill vehicles — and the framework extends to the full range of on-orbit threats.
New threat behaviors are added as indicators — one framework, a growing catalog.
Risk Scoring & Prioritization
Eighteen indicators, one score
Every maneuver is scored across 18 indicators, rolled up into three components — intent, engagement success, and severity. Pythia surfaces the highest-risk engagements first and filters the low-risk futures, so analysts spend attention where it counts. Every score expands to the factors behind it.
- Intent · Engagement Success · Severity
- Ranked highest-risk first
- Traceable to every underlying factor
Risk component scores expand to the underlying indicators, with an engagement timeline and orbital data.
Operational Integration
Built into the way you already operate
Pythia is an intelligence layer, not another screen — it fits the C2 and analytic systems your team already runs.
Correlate faster
Resolve uncorrelated tracks
Predicted hostile maneuvers are used to rapidly correlate uncorrelated tracks and observations — accelerating threat attribution and reducing operator cognitive load.
Open API, cloud-native
Integrates directly into existing C2 and analytic systems — no rip-and-replace, no new workflow to learn.
Proactive by default
Supports proactive response-recommendation workflows — so teams task sensors and act on the highest-risk futures early.
Who it serves
Built for the people on the console
Defense & Intelligence Community
Purpose-built for SDA analysts and commanders who need threat assessments they can brief up the chain. Pythia compresses the time from detection to actionable intelligence — ranked, documented, and defensible, without anyone having to justify a black-box score.
Commercial Operators
Commercial teams face the same threat volume without a government analyst bench. Pythia gives them the same predictive threat scoring — via API, with assessments they can share with insurers, regulators, and asset owners.
Deployed & operational
Status
In operational deployment
Backing
Active government contracts
Integration
Cloud-Native · Open API
See Pythia in action.
We'll walk through the threat catalog and scoring against your mission — defense, IC, or commercial.
BOOK A DEMO