Business Intelligence

Know what the market says. Test what the physics allows.

Vecteur brings products, companies, programs, infrastructure, and market signals into one evidence-backed workspace, so space Product Managers can compare what exists, challenge product claims, and test market hypotheses with engineering models—without losing which values were published, assumed, or computed.

Try a product question See real examples
  • Opportunity
  • Requirements
  • Supplier fit
  • Roadmap
Product view · market evidence to engineering case
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For Product Managers

Decide what to build, buy, or challenge.

01

Check an opportunity before you promise it.

Test the addressable service against coverage, capacity, latency, or revisit—not market volume alone.

02

Turn the market into product requirements.

Benchmark public performance claims under one comparable mission case before setting your target.

03

Choose suppliers with the design in view.

Find flight-proven reaction wheels below 2 kg, then test the shortlist in pointing, power, and mass trades.

04

Give the team one decision story.

Share the question, evidence, assumptions, scenarios, and remaining unknowns without asking everyone to rebuild the analysis.

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Beyond open data

A product decision needs more than a row in a database.

Open catalogues are valuable raw material. But a published number may be old, single-source, defined for another scenario, or impossible to reproduce. Vecteur keeps those checks beside the decision instead of hiding them in another spreadsheet.

Not every public fact can be independently verified. When corroboration or a required private input is missing, Vecteur says so.

01

Trace the original claim.

The source, observation date, and evidence status stay attached to the value.

02

Corroborate what matters.

Critical inputs are checked against independent sources when available. Without corroboration, they stay explicitly single-source.

03

Challenge it with physics.

A brochure claim does not override orbit geometry, optical performance, coverage, or a link budget.

04

Keep uncertainty honest.

Missing private inputs produce a bounded scenario or a clear stop—not invented precision.

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The BI + Engineering advantage

Design on top of the world as it is.

Start from a real constellation, supplier product, ground network, or market claim. Use its sourced values in a supported engineering case. Vecteur keeps public evidence, your assumptions, and computed results separate all the way to the product decision.

01Real-world evidenceFilings · datasheets · catalogued infrastructure
02Engineering caseCoverage · link budget · optical performance · sizing
03Product decisionRequirement · supplier · roadmap · evidence request
Competitive capacity
“Using public Starlink constellation and spectrum data, what broadband capacity is physically plausible over France at evening peak?”

Get a bounded range, its sensitivity drivers, and the non-public inputs that prevent a stronger claim.

Supplier to design
“Which flight-proven reaction wheels below 2 kg still close our pointing, power, and mass budgets?”

Get an evidence-backed shortlist and see each candidate’s design impact before supplier outreach.

Product gap
“Which EO payloads claim 20 cm GSD—and under what orbit and aperture does that claim remain credible?”

Separate catalogue claims from comparable model cases before setting the roadmap target.

Bring a real product decision

Leave with the evidence, the model case, and the open questions.

Use the free tier to explore data. Book a focused walkthrough to test your own opportunity, requirement, or supplier trade.

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