Paragon Wants to Bring AI to Industrial Distributors Who Have Never Heard of AI

The Macro: Industrials Are the Biggest Market Nobody in Tech Cares About

There is a category of businesses in America that generates trillions of dollars in annual revenue, employs millions of people, and is almost completely ignored by the technology industry. Distributors and manufacturers. The companies that move HVAC systems, electrical components, pipe fittings, lumber, and industrial packaging from factories to job sites. They are the plumbing of the physical economy, and most of them run on phone calls, faxes, and ERP systems from the early 2000s.

This is not a market failure of awareness. Plenty of founders know these businesses exist. The problem is that selling to them is hard. The buyers are operations managers and branch managers who have been doing things the same way for 20 years. They don’t attend SaaS conferences. They don’t read TechCrunch. Their purchasing decisions are driven by relationships with their rep, not by product demos. The sales cycle involves showing up in person, often at a warehouse or a job site, and proving your product works with their specific ERP configuration.

The incumbents in industrial distribution technology are companies like Epicor, Infor, and SAP Business One. Their products work. They are also expensive, slow to implement, and not particularly intelligent. Order processing is mostly manual. Customer engagement means a salesperson calling the same accounts on a weekly rotation. Demand forecasting, where it exists, is based on historical averages and gut feel.

The AI opportunity here is large and straightforward. Order processing can be automated. Customer outreach can be prioritized by likelihood to buy. Demand forecasting can use real signals instead of last year’s numbers. None of this requires cutting-edge research. It requires someone willing to build for an unsexy market and sell into it the hard way.

The Micro: Scale AI and Wharton Grads Go After America’s Industrial Backbone

Paragon is building an AI growth engine for distributors and manufacturers. The platform has three products: Forge for personalized customer engagement, Surge for freeing up staff to focus on revenue generation, and Alloy for demand forecasting and planning. It covers automated order processing, AI-driven customer communication, and industrial analytics with ERP integration.

The target verticals are specific: HVAC systems, pipe and valve fittings, lumber supply, electrical components, and industrial packaging. That kind of vertical specificity is a good sign. It means the product is being built for real workflows, not abstract use cases.

Ishir Vaidyanath is a co-founder. He’s a Wharton graduate with Fortune 50 AI experience, and his bio says he’s “building AI for the heart of America.” That phrasing is deliberate. This is a company that is positioning itself as serving traditional American businesses, not Silicon Valley. Kasyap Chakra is the other co-founder. He previously worked at Scale AI, which is one of the better training grounds for understanding how AI gets deployed in enterprise settings. Together, they bring a combination of business school polish and hands-on AI infrastructure experience.

They’re a two-person team out of San Francisco, part of YC’s Winter 2025 batch. The platform is built on Anthropic’s Claude Agent SDK, which is an interesting technical choice that suggests the AI agents are doing genuine reasoning rather than running rules-based workflows.

The competitive space is fragmented. Epicor and Infor own the ERP layer. Proton.ai is probably the closest direct competitor, building AI-powered sales tools for distributors. Benimbl focuses on distributor CRM. On the broader AI ops side, companies like Noodle.ai and Augury do industrial AI but focus on manufacturing operations rather than distribution sales and order processing. Paragon’s three-product approach is ambitious for a two-person team, but the products share a common data layer, which makes the architecture more manageable than it sounds.

The Verdict

I think Paragon is making a bet that most founders would not make, and that’s exactly why it might work. Industrial distribution is a market where the competition for AI mindshare is close to zero. If you show up at an HVAC distributor with a product that automates their order processing and tells them which customers are about to reorder, you don’t have to explain why AI matters. You just have to show them it works.

The risk is the sales motion. Two founders in San Francisco selling to branch managers in Houston, Columbus, and Charlotte is a logistical challenge. Industrial distribution is a relationship business. Deals close over lunches and warehouse visits, not Zoom calls. The founders will need to figure out whether they can sell remotely or whether they need to build a field sales team, which is expensive and slow.

At 30 days, I’d want to see how long it takes to integrate with a customer’s ERP system. If the answer is weeks, the product is going to face adoption friction. If it’s days, they have something. At 60 days, the question is whether automated order processing is actually working in production. Not in a demo, not in a pilot, but processing real orders from real customers. At 90 days, I’d look for revenue expansion within existing accounts. If a customer starts with order processing and then adds demand forecasting, that’s the sign of a platform, not a feature. The market is massive and the timing is right. The question is whether a two-person team from San Francisco can earn the trust of people who sell pipe fittings for a living.