Compliance by TwelveLabs

Deasy Labs is an AI data-curation platform with APIs and a Python SDK for preparing unstructured organizational data for RAG systems, search, and AI agents. It connects to sources such as SharePoint and S3, OCRs, parses, chunks, and normalizes files, then builds taxonomies, applies metadata, detects sensitive data, and evaluates file quality and relevance against a use case. Users can slice the enriched corpus by relevance, topic, time, quality, or sensitivity, write metadata back to source systems, or deliver datasets to downstream retrieval pipelines. Data slices are continuously monitored and refreshed as source content changes. The SDK can also generate context files and folder indexes for coding agents, as demonstrated in the video.

Deasy Labs is an enterprise platform for curating unstructured organizational data for AI applications. It connects to sources such as SharePoint and S3, OCRs, parses, and chunks files, then builds taxonomies, applies metadata, detects sensitive information, and evaluates file quality and relevance for a stated use case. Users can create data slices by topic, time, quality, relevance, or sensitivity and deliver them to RAG pipelines, search systems, and AI agents, while writing metadata back to source systems. Deasy continuously monitors connected sources, enriches new content, and refreshes datasets to reduce the effects of stale, duplicated, conflicting, irrelevant, or sensitive files. The platform provides APIs and a Python SDK, supports deployment in a customer's own environment, and allows use of customer-provided models and LLM endpoints. The company was acquired by Collibra, according to the video description.

DevAssure is an AI-powered software testing platform whose O2 agent reads code changes, maps potentially affected application flows, and validates them automatically, including through browser interactions based on plain-English expected behavior. It generates scriptless, self-healing acceptance tests and reports results for pull requests.