How to Do Due Diligence on a Private Company

Before you pick up the phone or send an outreach email, you need to know what you're walking into. Early-stage due diligence on a private company isn't the deep financial audit that happens after an LOI. It's the research you do to decide whether a company is worth pursuing at all. Most firms do this manually, one company at a time, and it's one of the biggest bottlenecks in the deal process.

What should you actually research before the first call?

The goal at this stage isn't certainty. It's informed conviction. You're trying to answer a handful of questions well enough to decide whether to spend real time on a company or move on.

Business model and revenue model. How does the company make money? Is it recurring revenue, project-based, transactional? This shapes everything downstream — valuation, growth trajectory, risk profile. A company's website and LinkedIn presence usually give you the broad strokes. Funding databases and press coverage fill in the gaps.

Competitive landscape. Who else operates in this space, and how does this company differentiate? You're not building a full market map yet, but you need to know whether you're looking at a category leader, a fast follower, or one of thirty identical companies. Understanding the competitive context also tells you whether the space is consolidating, which matters for both platform and add-on strategies.

Management team. Who's running the business, and what's their background? Founders who have built and exited before are a different risk profile than first-time operators. A management team that has been stable for five years tells a different story than one with three C-suite departures in the last twelve months. LinkedIn is the obvious starting point here, but it only tells you who's there now, not who left or why.

Funding history. Has the company raised outside capital? From whom? At what stage? A company that bootstrapped to $20M in revenue looks very different from one that burned through $50M in venture funding to get to the same number. Funding history also tells you about existing investors who may have preferences about the next transaction.

Customer concentration and growth signals. Is the company dependent on a small number of large customers, or does it have a diversified base? Are they hiring aggressively, expanding into new markets, launching new products? These signals are scattered across job postings, press releases, LinkedIn activity, and industry news. No single source gives you the full picture.

Where do you actually find this information?

This is where it gets tedious. The information exists, but it's spread across a dozen different sources and none of them are designed to give you a consolidated view.

LinkedIn is usually the first stop. Company pages show employee count trends, recent hires, and organizational structure. Individual profiles tell you about the management team's track record. Posts from employees can reveal company culture and strategic priorities.

The company's own website is obvious but underused. Most people glance at the homepage and move on. The real signal is in the careers page, the customer logos, the case studies, and the pricing page if there is one. A company that lists enterprise customers by name is telling you something different than one that says "trusted by hundreds of companies."

Funding databases like Crunchbase and PitchBook give you capital raised, investors, and sometimes revenue estimates. They're useful but incomplete, especially for bootstrapped companies or those outside the venture ecosystem.

News and press can reveal partnerships, product launches, regulatory issues, or leadership changes. But searching for news on a private company you've never heard of is a needle-in-a-haystack exercise unless you know exactly what to look for.

Industry reports and web research round out the picture. Sometimes the most useful information about a company comes from a niche trade publication, a customer review site, or a conference presentation that never made it into a mainstream database.

Why does this process break down at scale?

The research described above takes an analyst 30 to 60 minutes per company when done thoroughly. That's fine for a shortlist of five companies. It's not fine when you're evaluating a pipeline of 50 to 100 potential targets.

Most firms handle this in one of two ways. Either they do shallow research on many companies and hope the important stuff surfaces in conversations later, or they do deep research on a handful and risk missing the best opportunities entirely. Both approaches leave value on the table.

The fundamental problem is that the research is unstructured. Every company requires visiting the same set of sources, asking the same set of questions, and synthesizing the answers into a judgment. It's repetitive analytical work, which is exactly the kind of work that scales poorly with people and scales well with technology.

How does agentic enrichment change the math?

This is where tools like Radar shift the economics of due diligence. Rather than researching companies one at a time, you can ask structured questions across your entire pipeline simultaneously.

Radar's enrichment columns let you define custom research questions and run them against hundreds of companies at once. Questions like "What is their primary revenue model?", "Do they have government contracts?", "Who are their main competitors?", or "Have they made any acquisitions in the last two years?" Each answer comes back with source-backed citations from live web research, so you can verify what the system found rather than taking it on faith.

The difference between this and a static database is that you're not limited to pre-defined fields. If your thesis cares about whether companies have FedRAMP certification, or whether they sell into the automotive aftermarket, or whether their founder previously worked at a specific set of companies, you can ask exactly that. The questions adapt to your strategy rather than forcing your strategy to adapt to available data.

For companies that warrant deeper investigation, Radar's per-company web research feature compiles structured research briefs with cited sources. It pulls from across the web, synthesizes what it finds, and presents the results in a format that's ready for an investment memo or a pre-call briefing. It's not a replacement for talking to the management team, but it means you show up to that conversation already knowing the answers to the questions you can find online.

What does good pre-call diligence actually look like?

The firms that do this well have a repeatable process. They define the questions that matter for their thesis upfront, run those questions against every company that enters the pipeline, and use the results to prioritize where to spend time.

A practical workflow looks something like this. Source a list of companies that fit your criteria. Enrich the list with the five to ten questions that most influence your go/no-go decision. Review the enriched data to identify the top 15 to 20 percent that warrant a deeper look. Run detailed research on those companies. Then pick up the phone.

The result is that your team spends its time on companies that have already passed an initial screen rather than discovering dealbreakers on the third call. That's not just efficiency. It's better judgment, applied earlier in the process.

The information to make good early-stage investment decisions is out there. The question is whether your process is built to find it at the speed your pipeline demands.

Radar helps PE and VC firms research private companies at scale. Enrich your pipeline with custom research questions, get source-backed answers from live web search, and compile detailed company briefs — all before the first call. Try it free or book a demo.