Products / 01—06

Data for the
visual frontier.

Multimodal datasets and evaluations designed around the capabilities frontier systems need next—not the data that happens to be easiest to collect.

Discuss a dataset
IMAGEVIDEOINTERLEAVEDVISUAL REASONING3DEVALUATIONS
01 / OTS

Image Data

Curated corpora spanning objects, environments, aesthetics, text-rich scenes, and hard-to-source visual concepts.

A UNIT CAN INCLUDE

Image · captions · dense metadata · quality scores

DESIGNED FOR

Pretraining · fine-tuning · preference learning

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CURATED / RIGHTS VERIFIED
02 / OTS
00:00:08:14

Video Data

Sequences selected for temporal coherence, meaningful action, camera motion, physical dynamics, and visual quality.

A UNIT CAN INCLUDE

Clip · shot boundaries · motion labels · captions

DESIGNED FOR

Generation · world models · video understanding

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03 / PAIRED

“Move the key light 45° to the left.”

Paired Editing Data

Input, instruction, and verified output triplets for local, global, semantic, stylistic, and compositional changes.

A UNIT CAN INCLUDE

Source · instruction · target · edit mask · rubric

DESIGNED FOR

Image editing · instruction following · critique

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04 / SPATIAL
42 VIEWS / ALIGNED

3D Data

Aligned spatial datasets that connect appearance to geometry across views, representations, and levels of detail.

A UNIT CAN INCLUDE

Multiview · RGB-D · normals · point cloud · mesh

DESIGNED FOR

Reconstruction · simulation · spatial reasoning

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05 / DESIGN
LAYOUT / ASSETS / CODE

Design Data

Structured examples of visual judgment: composition, hierarchy, critique, iteration, and implementation.

A UNIT CAN INCLUDE

Brief · assets · layout · critique · code · render

DESIGNED FOR

Design agents · UI generation · visual critique

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06 / CUSTOM
CAPABILITY LIFT / MEASURED

Custom Evals

Task-faithful evaluations that surface meaningful failure modes and measure whether a data intervention works.

A PROGRAM CAN INCLUDE

Task design · rubrics · gold sets · expert review

DESIGNED FOR

Model selection · capability tracking · data strategy

Build an evaluation

Built to fit the stack

Useful on arrival.

01 Schemas aligned to your training pipeline

02 Sampling and distributions designed around target behavior

03 Quality records attached at the item and collection level

04 Secure delivery in the formats your team already uses

Start with the gap

What should your next model understand?

Talk to Lamplights