Company thesis

The data layer for models that act

ActionTrajectories turns cause and effect into inspectable collection, release, and licensing contracts for world models.

Synthetic schema sampleObservation → action → next state
01
00.000sObservergb.player_view
02
00.050sActmove.forward + camera.delta
03
00.100sTransitionpose.x +0.84 m
04
00.150sOutcomeprogress 0.31 → 0.36

The values are synthetic and illustrate the public specification. They are not measurements from a commercial dataset.

Why this exists

The internet gave AI language, images, and passive video. It did not reliably record which action caused the next state. That gap becomes critical when a model must predict, plan, or act inside a changing world.

Our starting wedge is instrumented gameplay and simulation: controlled environments with dense behavior, explicit inputs, measurable outcomes, and privileged state. The same trajectory contract extends to robotics, vehicles, and other embodied systems.

ActionTrajectories focuses on the sequence that matters: observation, action, next state, and outcome, with timing, provenance, quality, and rights attached.

01

Evidence before adjectives

Scale, rights, modalities, coverage, and quality claims resolve to records.

02

Missing stays missing

Unknown state, inferred action, and unresolved rights are labeled as such.

03

Open is not inventory

External research references never masquerade as first-party commercial data.

04

The buyer gets an interface

Schema, loaders, tests, provenance, known limits, and release records ship together.

Legal operator

10xme Technology Inc.

ActionTrajectories is an independent brand operated by 10xme Technology Inc. Public reference datasets remain owned, hosted, and governed by their respective creators and providers.

Review site terms

Bring us the training target.

We will map it to the observations, actions, state, outcomes, rights, and delivery evidence the dataset must contain.

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