FortaifyFor knowledge-intensive teams
Unpublished work stays unpublished.
Read, synthesize, and draft against a large private corpus using models that run where the corpus already lives.
Managed organization deployment and regulated workflows below describe planned capabilities. Account administration and policy authoring are implemented; client delivery, destination approvals, SIEM integration, and matter controls remain in development. Review current availability.
The operating reality
Research teams hold the material that matters most before anyone else can see it. The moment that material becomes a prompt to a consumer service, the question of who retains it stops being answerable — and for a team whose advantage is being first, that is the whole risk.
Pre-publication material
The corpus is the asset. Keep it local.
Research workflows involve unpublished results, proprietary datasets, interview transcripts, competitive analysis, and drafts under embargo. Glyph indexes that material into local knowledge bases and answers from it with models running on your own hardware, so synthesis does not require handing the corpus to a third party. Web search and cloud models stay available for the parts of the work that are genuinely public.
What Glyph brings to it
Local knowledge bases
Index documents into a searchable corpus on your own machine, with retrieval feeding local models directly.
Model choice
Run open models locally, or reach an approved cloud model when the task warrants it — the destination is always explicit.
Vision and documents
Work with figures, scans, and PDFs alongside text rather than transcribing them into a chat box first.
Provenance-aware context
Retrieved passages and fetched pages are marked as untrusted content, so instructions inside a source document cannot redirect the work.
A practical way to begin
Keep the first workflow narrow enough to evaluate, but real enough to matter.
- 01
Index one corpus
Start with a body of material you already reach for constantly. Retrieval quality is easiest to judge on familiar ground.
- 02
Run it locally first
Establish what a local model can do with your material before deciding what, if anything, needs a cloud model.
- 03
Name the exceptions
Write down which categories may reach a public provider. Everything else routes locally by policy, not by memory.
What good looks like
- A private corpus that stays on hardware you control
- Synthesis across material too sensitive to upload
- Deliberate, recorded exceptions instead of ad-hoc ones
Availability
Local model workflows are available. Organization administration and policy authoring are implemented in the account control plane. Managed client rollout, destination approvals, SIEM delivery, and regulated workflows remain in development; see the Enterprise availability page.
Make research the starting point.
Tell us about the workflow and the boundary around it, and we will help scope a practical first step.