Marveri is an automated platform that ingests data rooms or client document sets and organizes them using user-defined naming conventions and folder structures. It generates ready‑to‑use diligence work products—such as memos, request lists, schedules, and tie‑outs—and provides bulk document comparison to instantly highlight changes, gaps, and missing files. The cloud‑based solution delivers cited, shareable, exportable deliverables for M&A lawyers, corporate counsel, and deal teams, accelerating due‑diligence workflows.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.




Founders
Product
Problem
Legal and corporate teams spend extensive time manually organizing, naming, and cross-referencing large collections of deal-related documents, which delays due diligence, increases the risk of missing critical information, and makes it difficult to track changes across multiple files.
Solution
Marveri provides an automated platform that ingests data rooms or client document sets and applies user-defined naming conventions and folder structures to organize the entire collection. The system generates ready-to-use work products such as diligence memos, request lists, disclosure schedules, and tie‑outs, delivering them in a cited, shareable, and exportable format before the first deal call. Its advanced comparison engine can redline and highlight changes across two to dozens of documents simultaneously, instantly identifying missing files and document relationships. By delivering a complete, audit‑ready package in minutes rather than weeks, Marveri streamlines both buy‑side and sell‑side diligence for law firms and corporate deal teams.
Target Audience
Primary users are M&A lawyers, corporate counsel, and deal‑team professionals at law firms, investment banks, private equity firms, and corporate development groups who need rapid, accurate document organization and due‑diligence reporting.
Features
- Automated ingestion and organization of data rooms with customizable naming conventions and folder hierarchies
- Generation of standard diligence work products (memos, request lists, schedules, tie‑outs) on demand
- Bulk document comparison and redlining across multiple files to surface changes and gaps
- Immediate visibility of missing documents and their relationships within the data set
- Cite‑ready, shareable, and exportable deliverables ready for client or investor review
- Cloud‑based platform accessible to both law firms and in‑house corporate teams