Space & Satellite Mission Intelligence

Know which mission or space asset is financially exposed — before operational risk becomes realized loss.

STAREXAI brings mission telemetry, orbital events, ground-segment availability and commercial commitments into one view, and expresses each of them in money.

Global / international. Built for satellite operators, Earth-observation companies and space-infrastructure businesses.

Start with the size of the challenge

What do you think if we determine the size of the challenge you are facing?

Before talking about software, look at the numbers your own industry already publishes.

$613B

Estimated size of the global space economy in 2024.

Space Foundation, The Space Report

40,000+

Objects catalogued in Earth orbit, driving continuous conjunction assessment.

ESA Space Environment Report

Hundreds

Collision-avoidance manoeuvres performed each year by a single institutional fleet.

ESA Space Debris Office

$100k+/hr

Typical reported cost of one hour of unplanned downtime in enterprise operations.

ITIC hourly cost of downtime survey

These are published industry figures. They are not STAREXAI customer results.

Where the exposure hides

How many separate systems does it take to answer one simple question?

Ask your team today: which mission is losing the most money right now? Then count how many tools they open before answering.

01

Telemetry sits in one place

Health, anomalies and payload performance stay with the engineering team and their tooling.

02

Orbital events in another

Conjunction warnings, manoeuvre plans and space-weather alerts arrive through separate channels.

03

Ground segment in a third

Pass scheduling, station availability and downlink capacity are tracked operationally, never financially.

04

Commitments in a fourth

Service levels, capacity contracts and delivery obligations live in commercial systems no engineer opens.

Each system is correct on its own. The exposure appears only where they meet — and nobody owns that view.

Put a number on it

How much do you estimate the monthly cost of a risk you see too late?

Here is an illustrative model for an operator with $120M in annual fleet revenue. Replace the assumptions with your own.

Unplanned payload or bus downtime — 6 hours per month across the fleet

Modeled monthly effect
0.8% of fleet revenue
Modeled annual value at risk
$960,000

Missed or degraded downlink passes — 3% of scheduled capacity

Modeled monthly effect
3% of delivery capacity
Modeled annual value at risk
$1,440,000

Service-level credits and delivery penalties recognised late

Modeled monthly effect
0.5% of contracted value
Modeled annual value at risk
$600,000

Unplanned manoeuvre propellant and shortened mission life

Modeled monthly effect
$25,000 amortised
Modeled annual value at risk
$300,000

Modeled annual value at risk: $3.3M

On an illustrative operator with $120M annual fleet revenue.

If your own figures are even half of this, what does it cost you to find out one month later?

Illustrative mission-economics model based on published industry benchmarks. Not a STAREXAI customer result and not a performance guarantee. Your figures will differ.

One solution

One unified mission-intelligence view — expressed in money.

STAREXAI does one thing. It joins operational, orbital, ground-segment and commercial signals, then states the financial exposure of every mission, satellite and service commitment before the risk becomes a realized loss.

One exposure ranking

Every mission, satellite and commitment ordered by money at risk today — not by alert volume.

Early, not afterwards

Exposure is calculated from signals you already generate, while there is still time to act on it.

One language for engineering and finance

The same view answers what is happening and what it costs, without translation between teams.

Nothing else. One view, one ranking, one number per mission.

Modeled scenarios

Let us see how this behaves in your field.

Composite space-industry scenarios built from published benchmarks. These are models for discussion, not STAREXAI customer cases.

Composite scenario — Earth observation

A degrading downlink chain, seen in hours instead of weeks

Station availability drifts, delivery latency grows, and contracted imagery volume quietly falls behind. Joined to commitments, the same drift is visible as capacity at risk on day one.

$1.4M

Modeled annual capacity at risk

Composite scenario — communications operator

Service-level exposure ranked before the credit is owed

Individual anomalies stay inside tolerance, but their combined effect on one contract does not. The unified view ranks that contract first, while the month can still be corrected.

0.5%

Modeled contracted value protected

Composite scenario — ground-segment provider

Station availability priced per commitment

One antenna's maintenance window overlaps three customers with different obligations. Exposure per commitment shows which one to reschedule first.

6 hrs

Modeled monthly downtime avoided

Composite, clearly modeled scenarios. No STAREXAI customer, mission result or saved revenue is represented here.

Remove the risk

What do you think if we remove the risk from your side entirely?

You should not carry the uncertainty of evaluating this.

A 60-day exposure review, refundable in full

If the unified view does not surface exposure you could not already see, the fee is returned in full.

Priced far below the exposure it examines

The engagement costs a fraction of a single modeled month of value at risk.

No change to your existing systems

STAREXAI reads the signals you already produce. Nothing is replaced or migrated during the review.

Guarantee terms apply to the review engagement and are agreed in writing before it begins.

Start with one question: which mission is exposed today?

We run the exposure review with your own operational and commercial assumptions, and you keep the model whatever you decide afterwards.

Global / international. Multilingual mission and commercial teams supported.