LoremiAI is a unified AI workspace. One platform for OCR, semantic search and AI writing — instead of a different tool for every job. It turns scans, handwritten notes, PDFs, spreadsheets and emails into a governed, searchable knowledge base that any employee can query in plain language.
Built as an event-driven microservices platform with strict tenant isolation — so a parent holding and all of its subsidiaries run on one system while their data stays fully separated.
Scans, phone photos, handwritten notes, native PDFs, Word files, emails, spreadsheets and
CSVs. Each takes the path that suits it, chosen by the file's real content — a PNG renamed
to .pdf still goes to OCR.
Every subsidiary works in its own isolated environment with its own documents, its own knowledge graph and its own credits, under one parent organisation.
Ask in Arabic, German or English and get an answer back in the same language, with a citation pointing at the exact document it came from.
Services never call each other directly and never share a database connection. Everything crosses the bus, which means any part can fail, retry, or be replaced on its own.
The path is chosen by what the file actually contains, not by its extension — and a document that turns out to be visual reroutes itself automatically.
Nothing exotic for its own sake. Each choice is there because the layer above it needed something specific.
The model is the last step, not the whole system. Routing, parsing, chunking, embedding, query scoping, reranking and PII masking all run locally. On the standard package, indexing a document makes zero external AI calls — and the model provider is a setting, not a dependency: OpenAI, Claude, Gemini, Mistral, Azure, or a model on your own hardware.