👨💻
Scaling AI Pipelines with Daft
Autonomy Data Infrastructure and Public Speaker
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Eventual Inc
- San Francisco Bay Area
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14:34
(UTC -07:00) - in/everett-kleven
- @everettkleven
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Eventual-Inc/Daft
Eventual-Inc/Daft PublicHigh-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
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VangelisTech/archetype
VangelisTech/archetype PublicRun agent missions, physical-AI evals, and research as queryable, forkable worlds. Architected as an ECS engine on Daft DataFrames and Iceberg tables.
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Eventual-Inc/daft-examples
Eventual-Inc/daft-examples PublicExamples for using the Daft data engine
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Eventual-Inc/physical-ai-evals
Eventual-Inc/physical-ai-evals PublicIndustry grade VLA-JEPA on LIBERO on single process Python 3.12. Reproducible physical ai policy model benchmarks with queryable failure forensics on Daft Dataframes; scales on Modal
Python 3
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Eventual-Inc/daft-physical-ai
Eventual-Inc/daft-physical-ai PublicPhysical-AI data processing on Daft: hand tracking, reward scoring, and motion trimming
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