Intelligence inside
practical workflows.
Current application work is presented before research and roadmap material. Each capability keeps the input, system contribution, output and human decision separate.
Inteligest: source to reviewed record.
Input: business documents or spreadsheets. System: preserves the source and structures extracted information. Output: reviewed records for export. Human review resolves uncertainty. The current public evidence does not claim that every extraction step uses a language model.
Explore InteligestReachem Studio: brief to selection.
Input: creative brief, references and shot direction. System: organizes generation, review, timing and protected decisions. Output: an approved storyboard or delivery candidate. Provider-generated media and any FGT-based evaluation are labeled separately and require build-specific verification.
Explore Reachem StudioFGT language-model research.
An experimental retrieval foundation informed by Markus Drew's FGT framework. The current work concerns structure and retrieval; it is not presented as a generally released or independently validated foundation model.
Explore the researchLanguage models for business.
A scoped development offering for organizing approved business knowledge, testing retrieval and designing useful workflow interfaces. Fine-tuning, hosting, integrations and production readiness depend on the agreed project.
Explore the development approachPermissioned data before specialist models.
Structured records, source context, evaluation and workflow feedback can support future specialist models. The public roadmap distinguishes implemented application workflows from planned training, hosting and coordination work.