Renumics GmbH vs Humata

Renumics GmbH is a Karlsruhe-based industrial AI company that builds systems for analyzing test, machine, and simulation data. They partner with automotive, aerospace, machinery, and pharma teams to move product development toward data-driven, end-to-end workflows.

Their product Onion is an agentic AI assistant for engineering data analysis. Engineers ask questions in natural language to query logging and fleet data, run plausibility checks, detect swapped channels, and generate interactive visualizations without waiting on custom reports from data specialists.

Renumics also maintains Spotlight, an open source toolkit for exploring unstructured datasets including audio, images, video, time-series, and 3D geometry. Beyond software, the company delivers workshops, data readiness checks, proof-of-concept builds, and full custom AI system deployments.

Humata turns uploaded PDFs and documents into a searchable knowledge base you can question in plain language. Upload files, ask questions, and get answers with citations pointing back to the source pages. Teams use it to summarize research papers, compare documents, and pull facts from dense technical reports without reading every page.

General chatbots answer from training data, not your files. Humata reads every document you upload and grounds each response in that content with linked citations. You can ask follow-up questions, request shorter summaries, and embed the chat widget on your own site so customers query your documentation directly.

Researchers, analysts, and educators use Humata to get through long papers faster. Enterprise teams get role-based access controls, encrypted file storage, and department-level permissions on the Team plan. The Expert plan fits small groups of up to three users who need more than the 60-page free allowance.