In-orbit validation-as-a-service

Space software should not require an entire space programme to prove it works.

FlightLab manages the path from a frozen software build to controlled in-orbit execution—and delivers traceable evidence for the next technical, commercial or procurement decision.

One contract. One campaign. One decision-ready body of evidence.

Campaign / FL-01 Evidence chain active
  1. 01
    Signed buildFrozen
  2. 02
    Ground twinMatched
  3. 03
    Orbital runControlled
  4. 04
    CorrelationTraceable
  5. 05
    Evidence dossierDecision-ready

FlightLab converts orbital access into inspectable evidence.

The flight-evidence gap

Your software may work. The buyer still sees mission risk.

Simulation can demonstrate algorithmic performance. It cannot fully reproduce communications blackouts, constrained resources, orbital environmental effects and unscripted anomalies.

01

Ground evidence has limits

Laboratory testing cannot reproduce every interaction between software, hardware, operations and the orbital environment.

02

Dedicated missions are inefficient

A single software workload should not require an entire satellite programme.

03

Responsibility is fragmented

Multiple suppliers provide mission components, but nobody owns the final evidence question.

04

Procurement remains cautious

Without inspectable flight results, capable suppliers can stall at adoption gates.

“The customer does not need more compute. It needs credible proof.”
Define your evidence requirement

Why orbit

Some mission behaviour only becomes visible in the mission environment.

In-orbit testing complements, rather than replaces, mission-specific environmental qualification and assurance.

01

Intermittent communications

Real blackouts reveal whether software can continue safely without continuous ground control.

02

Bounded resources

Actual compute, memory, storage, power and duty-cycle limits expose operational trade-offs.

03

Unscripted anomalies

Real missions reveal recovery behaviour that controlled scripts may not anticipate.

04

Environmental effects

Orbital conditions provide evidence unavailable from conventional laboratory execution alone.

05

Buyer legibility

A traceable orbital result is easier to inspect than an unsupported heritage claim.

From build to evidence

One managed campaign. Five controlled stages.

Every result remains connected to one build, one configuration and one operating context.

  1. 01

    Define

    Freeze the build. Agree success criteria, resource limits, test vectors and permitted claims.

  2. 02

    Baseline

    Run the approved build on matched ground hardware with repeatable cases and injected faults.

  3. 03

    Fly

    Execute the workload in an isolated, monitored orbital window following mission acceptance.

  4. 04

    Compare

    Correlate ground and flight results across performance, resources, anomalies and recovery.

  5. 05

    Prove

    Deliver signed configuration records, methods, results, limitations and recommendations.

Explore the campaign process

The flight evidence package

The mission ends with evidence your stakeholders can inspect.

FlightLab does not deliver an unsupported “flight-proven” label. It delivers the configuration, methods and results required for informed technical and commercial decisions.

E1

Test configuration

Signed software version, dependency freeze, hardware profile and allocated resource envelope.

E2

Methods

Ground procedures, fault-injection cases, test vectors and expected-output boundaries.

E3

Results

Performance, compute utilisation, memory use, timing and environmental correlation.

E4

Anomaly record

Observed events, operational context, software response and recovery behaviour.

E5

Deviations

A clear account of what the campaign did not test and where evidence remains limited.

E6

Executive proof pack

Approved language, diagrams and results for bids, diligence rooms and programme reviews.

Initial workloads

Validate software where flight evidence changes a decision.

FlightLab begins with bounded workloads that produce clear, measurable evidence.

Autonomy

Decision latency, degraded-mode behaviour, fault response and recovery.

SDA processing

Throughput, determinism, resource use and anomaly handling.

Onboard AI

Inference latency, output stability, compute utilisation and memory demand.

Data triage

Downlink avoided, information retained and processing time.

Middleware

Messaging, isolation, restart behaviour and resource management.

Scientific autonomy

Experiment orchestration, anomaly detection and selective downlink.

Mission-one boundary

The first campaign is intended for bounded, non-operational workloads using approved or synthetic inputs. Every workload remains subject to technical, safety, cybersecurity, classification and export review.

Start on the ground

Begin with a Flight Readiness Sprint.

Before reserving orbital capacity, determine whether the workload, evidence requirement and commercial trigger justify a flight campaign.

US$20kindicative Sprint price
  • Workload and dependency assessment
  • Preliminary resource envelope
  • Ground-to-orbit evidence plan
  • Mission acceptance gap analysis
  • Flight, defer or no-go recommendation
Book a Flight Readiness Sprint ↗

The next controlled step

Do not build an entire space mission to answer one software question.

Start with a bounded workload, a defined evidence requirement and a clear decision trigger.