Nomerra offers an AI‑driven coworker that automates private‑market accounting workflows by connecting to emails, portals, bank feeds, and cloud storage to fetch documents automatically. It uses AI to match documents to transactions, flag discrepancies, and generate ready‑to‑review journal entries, master‑data updates, and reporting packages, which can be approved and posted directly into existing accounting systems with a full audit trail.
Funding
$2M 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
Private market operations require teams to manually gather documents from multiple sources, reconcile them to transactions, and prepare journal entries, which is time‑consuming and prone to errors. Discrepancies often go unnoticed until later stages, increasing audit risk and limiting the ability to scale services.
Solution
Nomerra provides an AI‑driven “coworker” that integrates with existing systems to automate the end‑to‑end workflow of private market accounting. It continuously connects to email, portals, bank feeds, and file storage to fetch required documents without manual downloads. Using AI matching and data extraction, the platform reconciles documents to transactions, flags discrepancies, and creates ready‑to‑review journal entries, master‑data updates, and reporting packages. Users approve the prepared outputs, after which Nomerra posts them to the organization’s accounting system, maintaining a full audit trail for every action. This reduces manual effort, improves accuracy, and enables firms to handle more mandates and new product structures without expanding operational headcount.
Target Audience
Primary customers are private‑market asset servicers and asset managers who need to streamline fund accounting, reconciliation, and reporting processes across multiple mandates and product structures.
Features
- Unified connectors that ingest data from emails, portals, bank feeds, and cloud storage automatically
- AI‑based document‑to‑transaction matching with real‑time discrepancy detection and source traceability
- Automated generation of journal entries, master‑data updates, and reporting packages aligned with existing workflows
- Review and approval interface that posts approved entries directly into the user’s accounting system
- Comprehensive audit trail documenting every data fetch, match, and posting action
- Scalable architecture designed for asset servicers and asset managers handling multiple mandates and asset classes