Arzana
Arzana provides adaptive AI agents that automate repetitive office work for manufacturers, starting with quoting, order entry, scheduling, customer service, and AP/AR. Each agent is custom-built on a manufacturer's own pricing rules, historical job data, and tribal knowledge, then deployed directly into their existing ERP and email systems. The Quoting agent reads RFQs from email, parses attachments like PDFs and CAD files, and drafts quotes in minutes instead of days.
- AI Agents
- Artificial Intelligence
- Manufacturing / Industry 4.0
- Enterprise Software
- Software Only
Funding
Raised to date
$500KRaised 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
Founder details are not available yet.
Product
Problem
Manufacturers waste significant staff time on administrative work, particularly manual quoting processes that require reading RFQs, referencing historical pricing and tribal knowledge, and drafting accurate quotes. This slows customer response times and diverts skilled employees from higher-value work.
Solution
Arzana offers adaptive AI agents built specifically for manufacturers to automate ERP and quoting workflows. The Quoting agent reads incoming RFQs from email, parses attachments like PDFs and CAD files, and prices them using the manufacturer's own cost models and past job history. Each agent is custom-built and trained on the manufacturer's data, learning from corrections so it improves over time like a new employee. Quotes are returned in minutes instead of days, complete with the full breakdown behind each price, and results are written directly into the manufacturer's existing ERP system. Arzana also offers agents for prospecting, order entry, scheduling, customer service, and AP/AR, all built on the same custom, forward-deployed model.
Target Audience
Primary customers are manufacturers across all industries that rely on ERP systems and handle custom or catalog quoting, particularly shops processing RFQs from email and requiring accurate, fast pricing based on historical data.
Features
- Quoting agent processes incoming RFQs from email, reading attachments including PDFs, STEP files, CAD drawings, and spec sheets
- Pricing is trained on the manufacturer's own cost model, catalog, price lists, customer pricing rules, and up to two years of historical job data
- Achieves 99%+ accuracy on data processing, document extraction, and automated workflows, with quotes landing within 10% of what the manufacturer actually quoted
- Integrates with major manufacturing ERPs including Epicor, Infor, JobBoss, E2, Plex, IQMS, SAP, NetSuite, Sage, Microsoft Dynamics, and Prophet 21, plus CRM and email systems
- Custom integrations built at no additional cost; each agent is tailored to the specific shop and deployed in 30 to 60 days with a forward-deployed engineer on site for a week
- Continuous retraining on frontier models keeps agents current and accurate over time
- Each customer's data stays in a dedicated environment on AWS and never trains models for other customers