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Constellation Orchestration

An automation layer for satellite scheduling at scale

Automate how capture schedules are generated, optimised and maintained. Working across single satellites, full constellations or multiple constellations operating together.

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A single system for optimised capture planning

Replace labour-intensive scheduling workflows with automated optimisation.

Multi-asset scheduling

Schedule a single satellite, an entire constellation, or multiple constellations through one system.

High-fidelity satellite modelling

Evaluate requests against orbital mechanics, flight dynamics, and sensor constraints.

ML-driven optimisation

Generate optimised daily capture schedules in seconds rather than hours.

Conflict resolution

Automatically resolve tasking conflicts and capacity trade-offs.

Continuous ingestion of requests

Evaluate incoming orders and tasking requests in real time.

Increased asset utilisation

Maximise performance across satellites and sensors.

How it works in practice

Turn manual planning into automated optimisation.

Ingest

Incoming customer orders and tasking requests are continuously ingested into the scheduling system.

Model

Each request is evaluated against high-fidelity digital models of satellites, including orbital mechanics, flight dynamics, and sensor constraints.

Optimise

Arlula’s ML scheduling system generates an optimised daily capture schedule in seconds.

Resolve

Conflicts and capacity trade-offs are automatically resolved without manual analysis.

Built with your requirements in mind

✓ Enterprise grade security
✓ Audit ready by design
✓ API first architecture
✓ Modular by design
✓ Vendor neutral infrastructure
✓ Public or private cloud
✓ Standards based interoperability
✓ Granular access control
✓ Licensing aware
✓ Enterprise grade security
✓ Audit ready by design
✓ API first architecture
✓ Modular by design
✓ Vendor neutral infrastructure
✓ Public or private cloud
✓ Standards based interoperability
✓ Granular access control
✓ Licensing aware

Built for scaling constellations

Manual scheduling workflows break first when constellations grow, tasking demand increases, or response time becomes critical.

Constellation Orchestration replaces labour-intensive planning with automated optimisation, enabling you to scale from early missions to complex multi-constellation operations without expanding scheduling teams.

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Faster tasking response

Generate optimised schedules in seconds.

Higher utilisation

Increase capture performance across satellites and sensors.

Reduced operating costs

Minimise manual scheduling effort.

Scalable growth

Support increasing customer demand without increasing headcount.

Every scheduling conflict is a capture that didn't happen

Teams still manually resolving scheduling conflicts lose captures  and revenue – with every pass.

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Manual capture planning

Tasking conflicts are resolved by hand, with limited visibility across competing requests. Default priority wins. Lower-priority requests get dropped entirely rather than rescheduled. Commercial opportunities slip through every pass.

‍
→ Conflicts resolved manually
→ Default priority wins
→ Other opportunities missedConflicting capture requests.

Manual prioritisation. Missed commercial opportunities.

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Meet Geostack

Automated capture scheduling

Every request — defence, commercial, or otherwise — is evaluated simultaneously against orbital mechanics, sensor constraints, and business priority rules. Conflicts are resolved in seconds. More requests become captures.

→ Business priority rules enforced automatically
→ Constraints evaluated together across all assets
→ More captures executed per pass

Conflicting requests resolved. All demand balanced in an optimised schedule.

Six modules, designed to work independently or together

Teams typically start with the part of their workflow that creates the most friction. Additional modules can be added as requirements grow.

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Constellation Orchestration

Coordinates tasking and execution across satellite constellations. Used by operators managing multiple satellites and constraints.


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Sales Engine

Standardises pricing, ordering, and transactions for EO data. Used to reduce manual commercial processes.


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Data Normalisation Pipeline

Automatically standardises EO data formats and metadata. Used to ensure data is ready for downstream systems immediately.


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Automation Workflows

Orchestrates end-to-end EO workflows without custom scripts. Used to build repeatable, production workflows.


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Advanced Data Management

Manages access control, licensing, and auditability at scale. Used in regulated or multi-team environments.


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Fulfilment Engine

Automates ordering, tracking and delivery of EO data. Used to ensure predictable delivery without manual follow-up.


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Let’s talk about how you run EO today

Most conversations start with understanding your current systems, workflows and constraints to see how Arlula can empower your team.

Speak to our team►See it in action
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