ContorYour organization has the answers.They're just buried in decades of documents.
Real, cited work product in minutes, ready for review, from all the reports, data, and external sources that can take days to synthesize.
From "here are 47 results from your keywords" to "here's what your organization actually knows — synthesized, cited, and ready to send."
Contor does the work your staff shouldn't have to
Draw from your entire library — not just what one person remembers
Produce briefings, gap analyses, and member answers — not chat responses
Every output cited and grounded in your actual publications
What changes when you run workflows instead of searches
“Search produces declarative knowledge — it retrieves facts, but not what to do about them.”
Joseph Miller, Chief AI Officer, Vivun
Search the document archive
Try three keyword variations
Open 11 documents across four tabs
Skim each for relevant sections
Spend two hours writing a response
Repeat next month for a similar question
Run the stakeholder briefing workflow
Review the output — synthesized from your full library, every source cited
Send it — the knowledge compounds for next time
Built for organizations where decisions depend on decades of accumulated expertise.
Technical Associations & Societies
Members expect authoritative insight. Staff time goes to retrieval instead of delivery.
→ Member questions answered from your actual publications — in minutes, not hours.
Research Consortiums
Decades of reports and working group outputs. No way to synthesize across them.
→ Surface which research questions have been explored but never resolved.
Industry Coalitions & Standards Bodies
Content growing faster than discoverability.
→ New members get oriented with the most-cited foundational documents in your library.
Boutique Consultancies
Principals' expertise is the product. Can't scale access without scaling headcount.
→ Junior staff get answers grounded in the firm's actual past work — not guesswork.
Real Estate Development & Site Diligence
Zoning, building codes, environmental regs — spread across city, county, and state sources. Every site starts from scratch.
→ Synthesize jurisdiction-specific requirements into a cited diligence memo, not a folder of PDFs.
Research Labs & R&D Portfolios
A decade of publications, grants, and working papers. No way to see what's been covered and where the white space is.
→ Map what's been studied, what's inconclusive, and where the opportunity space is — grounded in your full corpus.
spent recreating work that already exists somewhere in the organization
Panopto
of executives made a wrong decision based on ungrounded or incomplete AI content
Deloitte, 2024
of what your organization knows walks out the door when someone leaves
Starmind, 2021
Your team is rebuilding the same answers from scratch, generic AI makes confident claims without your sources, and critical knowledge leaves when your people do.
Questions
General-purpose AI tools are powerful, but they can't access your internal documents — working group outputs, member-only materials, unpublished presentations. They also can't count across your library, can't map what's missing, and may generate answers that sound authoritative but don't reflect your organization's actual position. Contor is built on your content, with every answer traced back to specific source documents.
We ingest your existing content — reports, publications, presentations, webinar transcripts — wherever it lives today. No migration to a new platform, no staff retraining. Most organizations are up and running within weeks, not months.
Enterprise search finds documents that contain your keywords. "Chat with your docs" tools summarize individual documents. Contor connects insights across your entire library — so it can answer questions that require pulling together information from dozens of sources, surface gaps in your organization's coverage, and trace how your recommendations have evolved over time. Most tools stop at retrieval. Contor does the synthesis.
Knowledge-rich organizations where expertise is the product: membership associations, technical societies, research consortiums, working groups, standards bodies, and boutique consultancies with 10+ years of accumulated knowledge. Any organization where staff spend hours piecing together answers that already exist somewhere in the document library.
AI knowledge management uses artificial intelligence to go beyond organizing and storing documents. It connects insights across an entire library and enables synthesis — answering questions that require pulling together information from dozens or hundreds of sources. Traditional knowledge management helps you find a document. AI knowledge management helps you find the answer. Contor is AI knowledge management software purpose-built for organizations where knowledge is the product.
Questions that require synthesis across many documents ("What does our organization recommend on X?"), gap analysis ("What problems have we identified but not addressed?"), temporal reasoning ("How has our position evolved since 2018?"), and exact counts ("How many reports discuss this topic?"). These questions can't be answered by search tools or general-purpose AI because they require connecting information across an entire library, not just retrieving individual documents.
Every answer links back to specific source documents with exact citations. Contor identifies where knowledge lives in your library, then retrieves the actual content — so answers are verifiable and auditable, not AI-generated summaries that might misrepresent your organization's position.
Knowledge management organizes and stores documents — think of it as a well-organized filing cabinet. Knowledge intelligence extracts insights from those documents and maps the relationships between them — turning a document archive into something more like a senior analyst who's read everything your organization has ever published. Contor is built for knowledge intelligence.
A knowledge base in AI is a structured repository that AI systems use to store, retrieve, and reason over information. Traditional knowledge bases function as searchable archives. An AI-powered knowledge base like Contor goes further — it connects insights across the entire collection, turning a static archive into a system that can answer questions, surface gaps, and synthesize across hundreds of documents.
Let's talk.
If your team spends more time finding answers than delivering them, we should talk.