Turning mixed-format materials into evidence
Seven material formats — PDF, DOCX, PPTX, XLSX, CSV, Markdown and plain text — enter one context; key fields keep the value, original wording, page position, timestamp and authorisation boundary.
A financial AI workspace for sell-side deal leads, boutique FAs and investment firms that puts project materials, evidence and deal opportunities in one context, so every judgement has a source. AI organises materials, verifies facts, screens buyers and drafts reviewable output; only after the advisor confirms does a priority buyer become a standalone opportunity with a full record.

The system widens coverage and organises the evidence, keeping sources, match rationale, key risks and information gaps in one judgement context; only after advisor confirmation is a priority buyer linked to an owner and a next step.
Seven material formats — PDF, DOCX, PPTX, XLSX, CSV, Markdown and plain text — enter one context; key fields keep the value, original wording, page position, timestamp and authorisation boundary.
Exclusion rules run first, then every recommendation is explained: match rationale, key risks and information gaps are shown together rather than a single score.
AI reads only what the current user may access; admin, editor and read-only roles are isolated by organisation and project, and confirmations, stage changes and exports are all logged.
Requirements, materials, verification, screening, matching and outreach prep, confirmed stage by stage.
Project materials enter one context directly, with no manual pre-processing.
The system only drafts for review; it never auto-confirms facts, changes a deal stage or initiates outreach.
The platform hands material organisation, fact verification and first-pass buyer screening to AI, so advisors spend their time on judgement, confirmation and execution — with context preserved from source to decision.