AI agents that run the workflows your team shouldn't be stuck doing.

Contor builds AI agents that run research workflows end-to-end. For site feasibility, you enter an address and our agent queries zoning codes, flood maps, county assessor records, environmental databases, and other sources in parallel — then delivers a cited report in minutes. For research briefings, the agent synthesizes across your organization's full library of publications and internal knowledge. Every finding is traced back to its source.

Chatbots generate answers from training data — you have no way to know if what they say is accurate, current, or grounded in real sources. Contor agents query actual databases, synthesize across your full knowledge base, and cite every finding back to a specific, traceable source. Every claim in a Contor report links to the zoning code section, the flood map panel, the assessor record, or the document it came from. Your team verifies the work by checking the sources — not by guessing whether the AI made something up.

We work with your team to configure workflows for your specific jurisdictions and data sources. For research briefings, 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 running workflows within weeks, not months.

Enterprise search finds documents that contain your keywords. "Chat with your docs" tools summarize individual documents. Contor agents do the actual research work — querying multiple databases, cross-referencing findings, and producing a cited report that synthesizes everything. It's the difference between finding a document and having an analyst compile a briefing from dozens of sources.

Real estate developers and land use consultants who screen dozens of sites per quarter. Environmental consultants who spend days on Phase 1 ESA desk research. Technical associations and research consortiums whose staff answer the same questions from decades of publications. Boutique consultancies that can't scale expertise without scaling headcount. Any team where research and synthesis is the bottleneck.

Every finding links back to its source — the specific zoning code section, the FEMA flood map panel, the county assessor record, or the document in your knowledge base. Citations are model-verified, so they're guaranteed to point to real content in real sources. Nothing is hallucinated or inferred without being labeled as such.

Our site feasibility agent queries 12+ sources including the US Census Geocoder, municipal zoning codes, FEMA National Flood Hazard Layer, CGS seismic hazard maps, county assessor records, USFWS species habitat data (IPaC), state contamination databases (GeoTracker, EnviroStor), NWI wetland inventories, CAL FIRE hazard zones, and more. Sources vary by jurisdiction and are expanding continuously.

A single-site feasibility report typically takes 3–5 minutes. The agent queries all data sources in parallel, cross-references findings, and generates a cited report. Compare that to the 4–8 hours of manual desk research per parcel that most analysts spend on zoning analysis alone. For batch screening (10–20 sites), reports are generated sequentially — expect results in under an hour rather than the 2+ weeks it takes manually.

AI-powered due diligence uses specialized AI agents to automate the desk research portion of feasibility analysis, environmental screening, and regulatory compliance review. Instead of analysts manually navigating government databases, downloading PDFs, and compiling memos, an AI agent runs the entire workflow — querying sources, extracting findings, and producing cited reports. The human expert reviews the output rather than doing the retrieval. Contor is purpose-built for this kind of agentic workflow.