Galvant provides an AI-powered workforce for manufacturing back-office operations, automating sales, procurement, and financial workflows. The platform integrates with ERP, CRM, and messaging systems to deliver 10–100× faster search and reporting, with deployment achievable in as little as two weeks. It connects to systems like Epicor, Salesforce, and SAP to unify data across the organization.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Manufacturing / Industry 4.0
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing companies face significant inefficiencies in back-office operations, where critical data is scattered across disconnected systems like ERPs, CRMs, email inboxes, and messaging platforms. This fragmentation makes it difficult for teams to quickly find information, track vendor performance, or generate accurate reports, leading to slow decision-making and operational bottlenecks.
Solution
Galvant deploys an AI workforce that acts as an intelligence layer across a manufacturer's entire back-office stack, automating search, reporting, and routine workflows in sales, procurement, and finance. The platform connects to existing systems—including ERPs, CRMs, historians, and messaging tools like WhatsApp and Teams—to ingest and normalize data into a unified structure. Users can then query this intelligence layer in natural language, asking questions about purchase orders, vendor performance, or financial metrics, and receive instant, accurate answers. The solution goes live in as little as two weeks and is designed to handle raw, unstructured data (such as vendor emails) by transforming it into consistent, structured master formats for analysis.
Target Audience
Manufacturing companies with complex back-office operations, particularly those relying on multiple disjointed systems for procurement, sales, and financial management, and seeking to reduce manual data handling and accelerate reporting.
Features
- Unified intelligence layer that connects and normalizes data from 20+ pre-built integrations, including Epicor, SAP, Salesforce, Databricks, Snowflake, and Microsoft Dynamics
- Natural language querying for sales, procurement, and financial data, enabling 10–100× faster search and reporting compared to manual methods
- Automated extraction and structuring of unstructured data, such as converting vendor emails into a consistent master PO format with change tracking
- Cross-system vendor performance analytics that allow procurement teams to compare and evaluate vendors based on historical data
- API-based connectivity to any additional system, ensuring compatibility with bespoke enterprise architectures
- Integration with communication platforms (WhatsApp, Teams) to bring AI-driven insights directly into existing collaboration workflows