We build pipelines that transform documents, transcripts and data into polished articles, marketing copy, summaries and structured records. Output is calibrated to your tone and guidelines, grounded in your own information via retrieval-augmented generation for factual accuracy, and — where documents are the input — processed through OCR and AI extraction. We also build corporate LLMs with role-based permissions and full audit trails.
Brand-calibrated pipelines · OCR + extraction · RAG · EN/ES/DE
Generic AI content is everywhere, and document-heavy back offices still lose hours to manual extraction and re-keying. We build the pipeline that turns raw input — documents, transcripts, data — into polished, on-brand output, calibrated to sound like you and grounded in your own information.
Where the goal is internal knowledge rather than published content, we build corporate LLMs with role-based permissions and full audit trails — sales sees pricing and playbooks, legal sees contracts, support sees scripts, all generated and retrieved with source traceability.
Every content pipeline also includes an editorial review stage: outputs above a confidence threshold move through automatically, and flagged pieces surface for an editor or compliance reviewer before anything ships.
Marketing teams scaling content output without adding headcount — typically with an existing library of 20+ pieces for brand calibration — and finance, legal, logistics or healthcare operations processing 50+ documents a week by hand.
A multilingual legal team's contract review throughput improved 11× with an AI copilot that reads and summarises documents before partner review.
Read CS/02 — Contract review copilot ↗