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Workforce and company-performance intelligence helps investors spot diligence risks and prioritize deals.
A manual six-company diligence test won the first major fund by uncovering employee attrition the buyer could not see in its usual workflow.
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Dealigence is a data and intelligence company that enriches deal-making workflows with performance information about companies and assets. CEO and cofounder Adam Lazovski says the business began commercializing its platform in Q3 2023, with about $15,000 ARR at the end of that quarter. He reports that ARR doubled in each consecutive quarter afterward, but the transcript’s later amount is garbled, so no current revenue figure can be stated reliably. Dealigence started with a three-founder team and had raised a small pre-seed round before shifting back toward profitability as runway tightened. Lazovski describes exporting his LinkedIn contacts, reaching out to around 50 people in a day and repeatedly following up. A pivotal sales exercise analyzed six companies for a large Israeli fund: the team manually assembled public workforce data and identified one company losing employees at twice the rate of peers. The fund became its first customer and later one of its largest. This is a founder interview; all financial and customer claims are self-reported, not audited.
Dealigence began with warm access to investors and founders that Lazovski had built during a previous services role. He says he exported his LinkedIn contacts, prioritized them over about two days and reached out to roughly 50 prospects in a single day.
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Data credibility: Founder Adam Lazovski reports about $15,000 ARR at the end of Q3 2023 and says ARR doubled each consecutive quarter thereafter. The transcript garbles the later amount, so it is not repeated. No financial statements or third-party verification are cited. The six-company analysis and customer account are also founder-reported.
Dealigence’s first commercial dollars came from selling a data product to an investor after proving its value through a manual diligence exercise. Lazovski says a design partner had paid a little before formal platform commercialization, then places the end of Q3 2023 at about $15,000 ARR.
The first customer created a credibility loop in a market where investors value references and domain trust. Dealigence used the successful fund relationship to identify former employees who had moved to other relevant firms, then used those contacts to open conversations with similar buyers.
When investor buyers do not respond, a data startup can burn runway polishing a platform without learning whether anyone will pay. Dealigence faced limited runway and chose to pursue revenue rather than continue relying only on fundraising.
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