Most "AI integration" is a chatbot widget added to a product page. This is different: open-weight local models (the Gemma and Qwen families, among others) deployed directly inside your own infrastructure for document intelligence, drafting, and automation, so the images, documents, and records those models process never leave your network. When cloud AI is acceptable, Data also integrates Claude under its Anthropic partnership; when it isn't, this is the alternative.
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Deployed on your infrastructure or air-gapped entirely, wired into the workflows you already run, not a standalone demo.
For an edible oil, refinery, and vegetable oil manufacturing company, Data deployed a vision model that turns scanned and photographed documents into structured JSON, running entirely on the client's own infrastructure. No image or document is sent to an external API to get the job done.
Data Group's own KYC verification, used to onboard both employees and customers, runs on locally deployed models rather than a third-party KYC API. It's the same deployment discipline offered to clients, proven first on Data's own operations.
Open-weight local models from the Gemma and Qwen families, run on your own infrastructure or fully air-gapped via ZenithAI, Data's on-premises AI platform. When cloud AI is acceptable, Data also integrates Claude directly under its Anthropic partnership, see the AI & Anthropic page for that side of it.
Not for these deployments. The models run on the client's own infrastructure or fully air-gapped, so images, documents, and records processed by them never go to an external API.
Image-to-JSON and PDF-to-text extraction, drafting replies, summarizing documents, intent detection, and automating the alerts and notifications that follow, wired into workflows you already run, not a separate tool to adopt.
Both exist: a vision model in production for an edible oil, refinery, and vegetable oil manufacturing company, converting real operational documents and images into structured data on their own infrastructure, and Data's own KYC onboarding for employees and customers, which runs on the same kind of locally deployed models internally.
A hosted cloud API sends your data to that vendor and bills per token. This is deployment and integration engineering: the model runs inside your own infrastructure (or fully air-gapped), so there's no external data transfer and no per-token bill, at the cost of managing your own compute.
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