Documents decay, structured knowledge compounds.
Every organization sits on years of accumulated knowledge — reports, research, internal documents — buried in folders and PDFs. Regnor Knowledge turns that archive into a structured, interlinked knowledge base your team can actually use. Atomic fragments. Cross-linked pages. A living wiki that compounds with every document added. Your team runs it. Your data stays yours.
One system, built for you, run by you, owned entirely by you.
Every organization accumulates knowledge — in reports, research, internal documents. Most of it stays buried. We don’t process your documents for you. We design a structured extraction system — templates, prompts, wiki architecture — calibrated to your domain, then hand it over. Your team operates it internally. No data shared. No vendor lock-in. No black box.
Read our approach
to living knowledge, we
architect the full
stack of structured
intelligence.
Templates, pipelines, and architecture for compounding knowledge.
We design structured extraction systems calibrated to your domain — so every document your team processes becomes a permanent, cross-linked fragment in a knowledge base that grows smarter over time.
Structure,
not summaries
Custom templates for entities, markets, concepts, products, and sources. Each one defines exactly what to extract — consistent fields, consistent output, every time.
Extraction
as a workflow
Tested prompts with deduplication and merging logic. Feed a document in, get structured wiki pages out. Handles 10 reports a day without breaking a sweat.
A working knowledge base, built from scratch, open and browsable.
Peptide Knowledge Base
15 biomedical sources — academic papers, market reports, regulatory documents — processed into a structured, interlinked wiki. The same method we deliver to clients, applied to a real domain.
Every fragment cross-linked. Every claim traced to a source. Browsable in Obsidian or any markdown reader.
Built with the Karpathy method — deep reading, atomic extraction, structured templates, incremental linking.
Browse the knowledge base
From documents to compounding knowledge.
Every stage is iterative, structured, and domain-driven — composable templates, not opaque prompts.
Extract →
We study your document archive and identify the knowledge structures buried inside — entities, markets, concepts, products, forecasts.
Structure →
Custom templates, extraction prompts, and wiki architecture — calibrated to your taxonomy. Tested against real output, refined until clean.
Connect →
Cross-link atomic fragments into an interlinked knowledge graph. A company mentioned in three reports gets one page with three sources.
Compound
Your team runs the pipeline from here. Every document compounds the system. Plain markdown — browse, search, export, or build on top.
Let’s structure what you know.
A 30-minute discovery call. No documents shared. We learn your domains, your report formats, what your analysts actually need — then send a clear proposal with scope, timeline, and fixed price.
