OffDeal trained an AI agent to crawl 2M company websites like a human analyst—reading pages, asking itself questions, rejecting bad data, and only moving on when it’s confident. The result? A proprietary dataset no third-party vendor can touch.

If you want to build defensible infrastructure in deal origination, start where the data breaks. We found that most vendors exaggerated their numbers and couldn’t reliably answer one core question: what does this business actually do?

So we built our own AI agent to go site by site, company by company, analyzing 2 million businesses in the middle market. It works like a human analyst—reading, interpreting, and deciding when it has enough context to move on. That context powers everything downstream: smarter search, more accurate recommendations, higher-conviction outreach.

There’s surface-level AI adoption, and then there’s using LLMs to actually change the economics of deal flow. The difference is miles apart.

Most search tools treat businesses as keywords. We built OffDeal to treat them like living systems.

When we realized how shallow and misleading traditional company data was, we didn’t patch it. We replaced it. Our AI agent analyzes millions of businesses the way a human analyst would: what do they sell, who do they serve, is it a franchise, woman-owned, veteran-owned? It reads the site, evaluates the information, and doesn't stop until it’s confident.

But building the data is only half the fight. Search still breaks when language gets fuzzy. What do you mean by 'building services'? ‘Home services’? Too many legacy tools require you to talk like a spreadsheet. We don’t.

OffDeal built its own recommendation engine, trained to understand queries the way an analyst would. If you’re looking for pest control companies, we’ll find them even if you never say the word 'pest.'

The result? A search experience that speaks business fluently. Not keywords.

When private equity firms talk about smarter sourcing, most fall back on legacy databases filled with stale or scattered data. At OffDeal, we took a first-principles approach. We started by identifying a fundamental truth: your deal flow is only as good as your target list. So instead of accepting industry codes and scraped keywords, we built an AI analyst. Not a chatbot. Not an auto-filler. A reasoning agent that goes company by company, analyzing real websites like an associate would. This agent digs through product catalogs, customer segments, ownership tags, and operational details to construct structured profiles of over 2 million businesses in the US lower middle market. Why 2 million? Because there are roughly 33 million small businesses in the U.S., but only about one million to two million fall into the $500K to $100M revenue band we care about. This is our sandbox. And we're treating it with precision. While others brag about millions of data points, we care about data with depth. This system isn’t just identifying companies. It’s transforming how origination works—allowing us to profile and prioritize businesses the same way a top-tier analyst would, only at machine scale. This is what AI in the lower middle market should look like: transparent, targeted, and grounded in reality.

Search is broken for private market dealmakers. You type in something like 'facility maintenance services' and you get a scattershot of results: cleaning companies, HVAC firms, janitorial suppliers, and ten other things you didn’t mean. Why? Because most systems try matching based on exact words—spitting back every business that mentions a keyword, not the core concept.

At OffDeal, we knew that wasn’t going to cut it. Understanding a deal requires context, not just content. That’s why we deployed AI twice: first to build a deep, verified dataset of every potentially sellable business in North America using large language models to read and interpret what each company *really* does. Our agent literally browses websites like an analyst, inferring business models, customer types, and product lines—at scale.

But then came the harder problem: surfacing the right companies from that data. So we built our own recommendation engine using embedding models that understand concepts, not text strings. That means when you search for 'Pest Control,' you're not just getting firms that use the phrase. You're getting the correct ones, even if they never say it outright.

This is how deal sourcing should work: structured context, real insight, and search that thinks more like you do.

Most people still think AI means scraping websites or matching keywords. OffDeal built an AI agent that thinks like a human analyst. It visits 2 million business websites, digs into their pages, asks big questions like 'Who do they serve?' and 'What do they sell?'—and doesn't move on until it finds real answers. It’s building the business intelligence dataset we always wished existed. Not mass data. Precise, useful context.

Most data vendors are faking scale. 100 million companies? Not a chance. OffDeal built our own AI agent to stop relying on broken third-party data. It literally navigates every business website like an analyst would. What do they sell? Who buys it? Is it a franchise, woman-owned, veteran-owned? Our agent figures it out before moving on. And we did that for over 2 million companies. That’s not just better data—it’s a better lens on the economy.

Most data vendors brag about 100M companies. Here's the truth: only 2M U.S. businesses even fit the profile of a legit private equity target. OffDeal built an AI agent that hunts through those the way analysts wish they could. It reads each company’s entire site, picks apart what they actually sell, who they serve, and builds a profile — at scale. One agent, 2 million businesses, no fluff, all signal.

Most 'data vendors' claim to have 100M+ companies in their database. Sounds impressive, right? But there are only 33M businesses in the US—and 18M of those are sole proprietors. So where is all this data coming from? OffDeal didn’t buy inflated numbers. We built AI agents that visit millions of websites, act like real analysts, and extract company insights that are actually real. The result? The cleanest, most usable discovery engine in the market.

Most biz data platforms brag about millions of companies... but if you're only looking at real, sellable US businesses? It's way fewer. Here's where OffDeal flips the script. Instead of scraping fake data, we built bots that read company websites like analysts do. They crawl, check for what the business actually does, and won’t stop until they find real answers. Then we use AI to pull up exactly what you're looking for, not just keyword matches. Think Google search, but if it actually understood what you meant when you typed something like 'building services companies'. That’s the new search. Built by us.