Ingest
A user uploads a PDF, image or RFQ document into the proposed document workflow.
A public GitHub ERP project exploring AI-first document workflows for manufacturing, industrial and heavy-engineering teams.
Public repository and demonstrable interface; production validation and external integrations pending.
Record updatedIndustrial teams often retype information from invoices, purchase documents and RFQs while finance, operations, quality and supply-chain records remain fragmented.
A public Nexus ERP project with a demonstrable AI-first ERP interface, an AI document pipeline concept and a connected module model spanning finance, shop floor, quality, supply chain, inventory, CRM, engineering and ESG.
The repository provides a working product interface and public routes for the platform, modules, pricing, contact and roadmap. The source describes finance workflows and document processing; production deployment, external integrations and customer operation are not independently verified on this portfolio.
Nexus is presented as a public project and demonstrable prototype. Database security, AI provider behaviour, bank integrations, document processing accuracy, production hosting, pricing and enterprise controls require separate validation before being described as a production service.
A user uploads a PDF, image or RFQ document into the proposed document workflow.
AI is intended to read line items, totals and terms while retaining the source-document context for review.
The extracted information is intended to become structured finance records such as a vendor bill or quotation.
The finance workflow then provides a place to review records, payment state and balances rather than retyping the source document.
Accounts receivable, accounts payable, general ledger and bank-integration concepts share the ERP core.
Work orders, machine uptime, purchasing, matching, warehousing, stock control and engineering/BOM workflows are represented in the module model.
ISO compliance, non-conformance management, carbon footprint and consumption tracking are included in the product architecture.
Sales, CRM, B2B self-service and multi-company access are part of the intended connected system; permissions and production isolation remain validation areas.
Created and developed by Amrish Seunarain as a public product project. This page describes the repository evidence and does not claim customer adoption, revenue or production deployment.
An independent ERP product project in the Seunarain portfolio. It is not presented as CloudMonkey, a CloudMonkey module or a separate incorporated operating company.
The repository uses a React and TanStack Start application with TypeScript, Vite and Tailwind-based UI patterns. Its product model centres on an AI document workflow and shared ERP modules.
These details are derived from the public repository at the time of editorial review. They are not a guarantee of production deployment, external provider integration or commercial readiness.