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Shaping the future of investment intelligence
We retired four separate tools — and cut our review cycle by more than half. One platform does it all.
Calder Equity (mid-market buyout)18x faster processing. 47% fewer errors. We now screen 4x more opportunities with the same team.
Blue Ridge Capital ($4.2B alt asset firm)We evaluated eight vendors. Quillon wasn't close — it was the only one built for how private markets actually work.
AI-first insurance brokerageRecommendation: significant redlines are required for this NDA to be balanced and consistent with standard commercial practice. Review the suggested changes above before proceeding.
Are there any clauses in our…Are there any clauses in our…
Each agent is an expert in one task: NDA review, memo triage, tax form processing, claims intake, or another specialised workflow. Agents run hundreds of tasks in parallel to deliver consistent results every time.
Upload any file type, from PDFs and spreadsheets to recordings or data exports. Concierge routes each one to the right agent or workflow. No manual setup, no limits — your inputs become actionable immediately.
Define how each stage behaves, from data intake to reasoning and output. Chain prompts, choose your models, connect APIs, and set logic for every step. Every interaction, rule, and response is configurable to match your exact workflow.
What company is this document from?
Trigger agents directly from documents, tables, or dashboards without any setup friction. Whether you're reviewing a contract, analysing data, or drafting content, launch the right agent in context and let it act instantly.
Are there any clauses in our vendor contracts that conflict with our standard terms?Integrate tools across your stack to ingest, process, and deliver data. Automate everything through a dynamic, agentic spreadsheet that scales with your enterprise workflows.
Quillon reads memos, models, contracts, DDQs, and data rooms — then generates source-linked briefs, tables, and slide files your team can edit, trust, and send.
Run each column with the intelligence that fits it best: frontier reasoning models, custom Python, HTTP requests, web search, manual input, or multi-language OCR.
Use flexible document agents that adapt to any file. Process everything from contracts and financial reports to custom templates, with consistent extraction across formats.
Define how each property behaves. Set up the output formats you need, from text and numbers to files, JSON, or structured references.
Access a library of pre-built agents created for common workflows, from NDA review to investment screening. Launch them instantly with your own guidelines applied.
Reuse proven steps from across your firm (extract text, list items, generate JSON) so you're never starting from scratch.
Nest structured collections inside each record. Add, reorder, or rename sub-rows to manage complex, multi-layered data with ease.
Compose, personalise, and deliver messages across channels. Define tone, structure, and attachments, then send with a single action.
Ensure every response is grounded and transparent. Each answer links to its exact source citation in the underlying files, so you can trace a statement in seconds.
See how results were formed. Review sources, reasoning steps, and edits directly in context, for full transparency and trust.
Instantly preview original files side by side with extracted fields, citations, and structured data.
Send your structured data wherever it needs to go. Export as CSV, spreadsheet, or JSON, or push it into downstream systems via API and native integrations.
Instantly surface only the records and fields that match your criteria — "approved", "pending", or any state you define.
"We want Quillon and agentic work in general to be the beating heart of our company and our growth. It should make us more productive across the board — liaising with clients, automating tasks, even finding new work."
Ines Marchetti Managing Director"We used Quillon to automate our diligence process with data extraction and automated analysis. That led to a 31% productivity increase in the first month of use."
Trevor Hale CEO of NorthbankYour data stays yours — always. Work with one of the few AI companies that never trains on customer data.
Security & trust centrePDF, DOCX, XLSX, CSV, JPG, and PNG are all supported. Each hub holds up to 1,200 items, with effectively unlimited memory across multiple hubs.
Each column is a small agent with its own model, prompt, and output type. It runs across every row independently, so you can mix extraction, classification, and generation in one table.
No. Most teams start from a library recipe and adjust the wording. Python, HTTP calls, and custom schemas are there when you want them, not required to get value.
You can run everything from the chat surface, from inside a document, or through the API. The table is simply the view that makes hundreds of parallel runs legible.
Correct the cell directly. The edit is stored as guidance for that agent, so the same mistake is not repeated on the next run, and the change is recorded in the audit trail.
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