Renumics GmbH vs Superluminal

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.

Superluminal adds a conversational copilot to product dashboards so end users can ask questions about their data in plain language. You integrate it through a React component or REST API, and it writes Python behind the scenes to filter tables, pivot results, plot charts, and return answers grounded in the dataset already loaded in your app. The target customer is a SaaS team that wants ChatGPT-style data chat without building code generation, sandboxed execution, and prompt tuning in house.

Generic chat widgets summarize text. Superluminal is built specifically for tabular dashboard data: it spins up managed compute to run generated Python, verifies code through reflection, and returns structured answers or charts tied to the user's actual rows. That pipeline (context synthesis, chain-of-thought reasoning, secure execution, and UI customization) is the product, not a thin wrapper around a single model call. It also supports multilingual queries and optional filtered or pivoted views of the underlying data.

Superluminal fits analytics vendors, internal data teams, and any product with an embedded dashboard that wants self-serve exploration. Pricing is pay-as-you-go at $20 per 100 messages after 50 free messages, with enterprise plans for higher volume. Data is encrypted in transit and at rest, purged after each session, and not shared with third-party LLM providers per the company's security page.