Why traditional deal sourcing is broken

Most deal teams still build target lists by exporting from a commercial directory, scrubbing duplicates by hand, and cold-calling a mix of active businesses and dormant shells. That process takes weeks and the signal quality is low, a newly-incorporated shelf company sits next to a well-established operator with no way to distinguish them.

Across borders the problem compounds: each new market requires a different data source, a different methodology, and another week of manual reconciliation. By the time the list is ready, the opportunity may have moved.

A quality-graded universe from day one

OneFirmIntel starts from authoritative, government-sourced company registers and grades every entity into three tiers: ★★★ Listed (publicly listed or government-linked), ★★ Established (substantive, active businesses), and ★ New entrant (recently incorporated). That single signal cuts your universe to a deal-relevant subset in seconds, before you have spent a credit.

Search any sector in any of 24 live markets and the result page immediately shows the total company count, the tier split, and the regional distribution. You can assess the depth of a market and the composition of potential targets before committing to a full screen.

From screen to pipeline in one workflow

Once you have sized the opportunity, the same search becomes the top of your deal funnel. Preview company names for free to validate the sector cut, then reveal the records you want with credits, full registration details, status, location, and tier. Every revealed company is saved to your account permanently, so your deal pipeline builds over time without rework.

Teams use OneFirmIntel for add-on searches within a platform thesis, geographic expansion screens inside a target country, and pre-mandate sizing to test whether a deal thesis has enough targets to run a full process.

Cross-border coverage without platform sprawl

Covering 24 markets from one search interface removes the need to subscribe to a different data vendor in each country. Brazil, India, France, Australia, the United States, and 19 more, the same tier-and-sector logic applies everywhere, so your analyst methodology is consistent across geographies.

That consistency matters when you are presenting a market map to an investment committee: the numbers come from the same methodology, not a patchwork of incomparable sources.

Augmenting the early stages of due diligence

OneFirmIntel does not replace deep financial due diligence, but it compresses the first two stages significantly. Generating the target universe, typically days of research, becomes a morning's work. Initial screening against tier and sector criteria is real-time.

The saved pipeline then feeds into later-stage checks: compliance and counterparty verification, ownership research, and market-sizing analysis for the investment memo. Each stage is faster when the company records are already in your account and the quality signal is already attached.

What investors say about the data

Because records are drawn from official government registers, the provenance is clear and defensible. Tier grading is derived from registration data, not self-reported company information, which means it cannot be gamed by the target. For investment committees that require sourcing rigour, the methodology holds up.

Revealed records can be exported as CSV and attached to deal files, giving a clean audit trail from initial screen to final target list, sourced, dated, and tied to your account.