# Momentum

> Momentum is the platform that gets physical-AI teams to production faster. It characterizes real-world robot data, detects out-of-distribution behavior, turns the right events into training and evaluation data, trains or fine-tunes the next model, and governs promotion through evaluation — so every release is grounded in what actually happened in deployment.

Momentum is built for physical-AI teams (robotics, fleet operations, inspection, monitoring, and embodied AI). The core idea is a closed loop: **characterize** the data the system is seeing, **detect** out-of-distribution events, **curate** them into useful train/eval sets, **train or fine-tune** the right model, and **evaluate** it against reality before promotion.

## Databricks for Physical AI

The comparison is useful because Momentum gives physical-AI teams one governed system for data, training, evaluation, lineage, and deployment workflows. The difference is that physical AI starts in the real world: robot episodes, sensor streams, OOD events, relabeling, fine-tuning, hardware/software failure analysis, and eval gates that must prove a model is safe to promote back into production.

## The Momentum loop

- [Characterize the dataset](https://www.momentumbots.io/#how-it-works): Momentum ingests field data and robot episodes, parses the structure of the dataset, and surfaces coverage gaps, sparse behaviors, thin tasks, and distribution shifts that should shape the next collection or evaluation plan.
- [Capture what the model does not know](https://www.momentumbots.io/#how-it-works): Deployed systems report low-confidence, anomalous, or out-of-distribution (OOD) behavior from real operation. Events carry enough surrounding context to be reviewed, clustered, routed, and turned into durable corpus entries.
- [Parse, verify, and curate](https://www.momentumbots.io/#how-it-works): Vision-language systems help segment and parse robot data, support judge-style review, and accelerate triage without replacing the team's chosen verification process. Events become relabeled frames, curated episodes, train/eval splits, or new benchmark cases.
- [Train, fine-tune, and ship with proof](https://www.momentumbots.io/#how-it-works): Use the curated corpus to train or fine-tune the next model, then evaluate the candidate against a benchmark that grows with reality. Promote only when eval proves improvement. Every deployment carries lineage from field capture to promoted artifact.

## Evals and governance

- [Living evaluation](https://www.momentumbots.io/#evals): The benchmark is not frozen — it grows with every failure mode reality surfaces, so "is the new model actually better?" stays a meaningful question. Eval runs use curated data, benchmark cases, and regression-aware gates without forcing teams to stand up a separate evaluation stack.
- [Governed promotion](https://www.momentumbots.io/#evals): Nothing reaches production until the eval gate passes. Every promoted model carries full lineage. Zero ungoverned rollouts; every promotion is auditable.
- [VLM-assisted judgment](https://www.momentumbots.io/#evals): Momentum can use vision-language judges, scorers, and parsers to help evaluate robot data and policy behavior, while keeping benchmarks, calibration, and promotion gates versioned and auditable.

## Platform

- [Composable modules](https://www.momentumbots.io/#features): Swap labeling providers, training backends, or eval frameworks without rewriting the loop. The pipeline is Source → Label → Dataset → Build → Eval → Deploy.
- [API-first orchestration](https://www.momentumbots.io/#features): The whole platform is programmable — trigger runs from CI, integrate with your stack, and build custom operator surfaces.
- [Dataset characterization and OOD detection](https://www.momentumbots.io/#features): Characterize production and training data, detect distribution shift, and route high-value events into relabeling, fine-tuning, training, and evaluation workflows.
- [Log in](https://app.momentumbots.io): Sign in to the operator app to start closing the loop.

## Contact

- Email: hello@momentumbots.io