Many AI initiatives start with general internet data. The real value for organisations often sits in their own sources: files, registers, drawings, reports, correspondence, heritage collections and historical documentation. 2dA makes those sources reliably digital and suitable for responsible further use.
Image quality, order, document boundaries and metadata determine whether OCR, HTR, chunking and embeddings work reliably later.
Rights, privacy, provenance, context and purpose must be clear first. Otherwise data may be digital, but not responsibly usable.
This route is for organisations that hold substantial proprietary information and want to use it better for search, knowledge management, document AI, analysis or research.
General internet information is widely available to AI systems. Organisations stand out through their own sources: specialist files, local history, technical documentation, policy archives, registers and collections that do not exist elsewhere.
We start with material, capture process, quality, OCR/HTR, metadata and delivery. Only then do AI, embeddings, RAG or chat applications become meaningful.
Not every collection needs to be processed fully at once. A small exploration is often enough to assess quality, recognition, metadata, rights and usability for AI or retrieval.