Menza

Makes massive file transfers 10x faster so teams stop deleting data they can't afford to move.

Robotics teams delete 96% of their sensor data because they cannot move it fast enough. Byteport's DART protocol achieves 1500x faster transfer than TCP for large files, which turns a data bottleneck into a data asset for any team that generates more than it can ship.

Delivers 95%+ accurate knowledge search across unstructured enterprise data, beating standard RAG.

RAG accuracy plateaus around 80% for most implementations. Captain claims 95%+ by running parallel LLM queries across document chunks and aggregating results, which is a brute-force approach that works if the orchestration is fast enough. SOC 2 certified.

Automates enterprise document workflows with 93% straight-through processing from just 3-5 samples.

Most document AI requires hundreds of labeled examples. EigenPal reaches 93% straight-through automation from 3-5 samples, which means regulated enterprises (banks, insurers) can deploy on new document types in hours instead of months.

Captures 8,000 hours/day of multimodal human activity data to train the next generation of robots.

Robotics foundation models are data-starved. Human Archive has 50,000+ contributors wearing custom sensor rigs across homes, restaurants, hotels, and construction sites, capturing 8,000 hours/day of synchronized video, depth, and tactile data. Scale AI for embodied AI.