Renumics GmbH vs Trelent

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.

Trelent is a private data science and automation platform for workflows that involve sensitive information in regulated industries. It deploys self-hosted AI infrastructure inside your own cloud so files, databases, and agent workflows never leave your environment. The stack covers data ingestion, semantic search, and multi-step agent orchestration as three connected layers.

Most enterprise AI vendors sell seats on a shared cloud and hand you a chat interface. Trelent takes the opposite bet: a forward-deployed engineering team embeds with yours, builds production workflows on private infrastructure, and ties later pricing to measurable business outcomes instead of token counts. That model fits compliance-heavy teams who cannot send client data to a third-party API.

Financial services firms, law practices, and cybersecurity teams use it for client onboarding, financial statement scanning, and legal document review. BPO partners also route regulated client workflows through Trelent when the work sits above standard language-based tasks. Engagements start with a 2 to 4 month proof phase before scaling to outcome-based contracts.