How it works

The Data Foundry for Video AI.

End-to-end data orchestration for creating rights-cleared, GPU-ready datasets engineered for model performance— including physical AI and robotics.

One foundry for sourcing, processing, governance, and delivery — so data compounds across model iterations instead of restarting from scratch.

The Flikforge Pipeline

What "GPU-ready" actually means.

Most pipelines stop at delivery. Flikforge runs every dataset through rights, provenance, schema validation, and regulatory verification — every step, every time. That's what turns raw footage into training-ready data you can actually compound on.

* Rights & Provenance Data Engineering Delivery & Compliance

01

Register *

Rights, chain-of-title, and UUID assigned before ingest

02

Diagnose

Map model performance gaps before sourcing begins

03

Source

Rights-cleared footage from owner network or yours

04

Segment

Decompose into discrete, atomic shot-level units

05

Index

Machine tag video with off-the-shelf understanding

06

Label

Label segments with customized structured metadata, validated as ground truth

07

Fine-Tune **

Calibrate labeling pipeline for high-accuracy machine scale

08

Create

Assemble, version, and schema-validate the dataset

09

License *

Instant transaction, provenance recorded, rights holder paid

10

Validate

Coverage, completeness, and anomaly checks throughout

11

Normalize

Frame rate, resolution, and sharding to your run spec

12

Deploy

Deliver normalized, framework-ready shards to any training destination — with rights and provenance attached

● * Rights & Provenance steps — unique to Flikforge ● ** Fine-tuning calibrates machine labeling accuracy

The Flikforge Difference

One infrastructure. Every stage of the pipeline.

Most vendors own one piece of the pipeline. Flikforge connects sourcing, rights, engineering, and delivery into one finished data product built for model training.

01

Flexible Data Sourcing

Use your own footage, partner libraries, or both. Flikforge fills coverage gaps no single source can.

02

Instant Licensing

Patent-pending rights registry clears legal in minutes, not months — terms documented and embedded at delivery.

03

Engineered, Not Just Labeled

Fully engineered datasets — sourced, validated, normalized, GPU-ready. Not raw footage with labels stapled on.

04

Truly End-to-End

One platform: sourcing, rights, engineering, packaging. No handoffs. No vendor stitching.

05

High-Fidelity Labels at Scale

Domain-trained validators set ground truth. Auto-labelers fine-tune against it. Fidelity without the manual cost.

06

Built-In Rights, Not Afterthought Compliance

Rights, contracts, and royalties embedded at the data layer. Auditable chain from owner to model.

Two paths forward

Ready to engineer training data for your model?

Pick a pre-packaged DataPack or get a custom data schema engineered for your model.

CVPR 2026 · Post-Show

The bottleneck isn't the model. It's the data.

Read the field notes or download the 14-page report.

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For AI Developers

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