Gini builds AI models for payment processing and intelligent document understanding, serving banks, insurers, and e-commerce platforms across Germany. The stack is heavy on ML infrastructure (PyTorch, Hugging Face, vLLM, MLflow, Weights & Biases) paired with financial tooling (DATEV), suggesting a mature ML ops discipline focused on real-time document classification. Active projects span model training, sales pipeline development across verticals, and internal financial operations — indicating concurrent scaling of both product capability and go-to-market.
Founded in 2011 and headquartered in Munich, Gini operates as a public company serving financial services and e-commerce sectors. The company's core offering centers on AI-driven extraction and processing of unstructured document data, packaged into two main products: Photo Payment for mobile banking workflows and Gini Pay Connect for insurance-to-banking integration. Current focus areas include expansion into new verticals, renewal rate optimization, and improving internal accounting processes. All hiring is currently concentrated in Germany.
Gini uses PyTorch, Hugging Face Transformers, vLLM, Kubeflow, and MLflow for ML infrastructure; OpenCV and Pillow for image processing; Python for core development; and DATEV for financial operations.
Gini serves banking, insurance, and e-commerce sectors, with active project work on sales pipelines and renewal strategies across all three verticals.
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