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Dynamic intelligence Introduces Ground-Log v0: Multimodal Data Infrastructure for Embodied AI Fleets
Ground-Log v0 is Dynamic intelligence’s multimodal data plane for embodied AI fleets—built so research-grade policies can be fine-tuned, evaluated, and audited with site-specific truth, not ad-hoc CSV dumps.
Why the data layer matters now
Vision-language-action models, precise manipulation stacks, and online RL are advancing rapidly across public robotics research. The bottleneck for most operators is no longer “can a model do the task on video?” but “can we capture, label, and replay what actually happened next to our workers and pallets?”
What Ground-Log v0 includes
• Time-aligned ingestion: RGB-D, lidar, force-torque, and proprioception with edge buffering, integrity checks, and configurable retention. • Sparse supervision: Human-in-the-loop labels and failure tags designed for fine-tuning or reward shaping without boiling the ocean. • Provenance by default: Every episode knows which robot, site zone, policy checkpoint, and safety envelope was active—critical when insurers or regulators ask questions.
How it pairs with policy research
Dynamic intelligence does not ship a competing generalist VLA. We integrate with checkpoints from internal teams or partners, then wrap them with Bench-Fabric regression suites and Fleet-Tape promotion hooks so new weights cannot silently diverge from what was validated.
Who should adopt first
High-mix logistics, 3PL campuses, and manufacturers running arms or AMRs beside people—anywhere a slick demo must become a traceable production story.
Early access
Design partners receive schema templates, Hub console access, and engineering support to connect OEM SDKs within weeks—not quarters.