How it works
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
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.
01
Rights, chain-of-title, and UUID assigned before ingest
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Map model performance gaps before sourcing begins
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Rights-cleared footage from owner network or yours
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Decompose into discrete, atomic shot-level units
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Machine tag video with off-the-shelf understanding
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Label segments with customized structured metadata, validated as ground truth
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Calibrate labeling pipeline for high-accuracy machine scale
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Assemble, version, and schema-validate the dataset
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Instant transaction, provenance recorded, rights holder paid
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Coverage, completeness, and anomaly checks throughout
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Frame rate, resolution, and sharding to your run spec
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Deliver normalized, framework-ready shards to any training destination — with rights and provenance attached
The Flikforge Difference
Most vendors own one piece of the pipeline. Flikforge connects sourcing, rights, engineering, and delivery into one finished data product built for model training.
Flexible Data Sourcing
Use your own footage, partner libraries, or both. Flikforge fills coverage gaps no single source can.
Instant Licensing
Patent-pending rights registry clears legal in minutes, not months — terms documented and embedded at delivery.
Engineered, Not Just Labeled
Fully engineered datasets — sourced, validated, normalized, GPU-ready. Not raw footage with labels stapled on.
Truly End-to-End
One platform: sourcing, rights, engineering, packaging. No handoffs. No vendor stitching.
High-Fidelity Labels at Scale
Domain-trained validators set ground truth. Auto-labelers fine-tune against it. Fidelity without the manual cost.
Built-In Rights, Not Afterthought Compliance
Rights, contracts, and royalties embedded at the data layer. Auditable chain from owner to model.
Two paths forward
Pick a pre-packaged DataPack or get a custom data schema engineered for your model.
CVPR 2026 · Post-Show
Read the field notes or download the 14-page report.