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Comparisons

Decision frameworks for picking a data approach

Four side-by-side frameworks covering delivery model, sourcing, data type, and vendor selection.

All comparisons

Four frameworks, four decisions

Side-by-side. Built to hand to a decision-maker.

COMPARISON 01

Three delivery models. What each protects, what each costs, and which to pick for which stage of your program.

9 min read • For program leads

COMPARISON 02

The four conditions where in-house data wins, and the four where outsourcing pays back inside a quarter.

7 min read • For VP Eng + Founders

COMPARISON 03

When real captures dominate, when synthetic earns its place, and the hybrid configurations that work at scale.

10 min read • For ML leads

COMPARISON 04

Why generic frontier-AI data shops struggle with robotics, and what changes when the data has to drive a physical policy.

8 min read • For procurement

What our partners say
I read the dedicated vs crowdsource comparison on a flight. Picked hybrid by landing. Roborax ran the program for fourteen months and we never had to revisit the choice.
Marcus Tanaka
VP Robotics, Apex Dynamics

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