Sector expertise for investors, lenders and acquirers
Sector
Regulatory reporting and supervisory technology is a specialist corner of enterprise software. Assessing an asset in it is easier for someone who has worked inside one than for someone who has only read about the category.
RegTech and SupTech businesses behave differently to general enterprise SaaS. Revenue is anchored to regulatory change cycles rather than discretionary IT budgets. Implementations are long, deep and sticky, which flatters retention and disguises delivery risk. Customers are banks, insurers and supervisory authorities, whose procurement, security and audit requirements shape the whole operating model. Product roadmaps are driven substantially by regulators rather than by customers.
Those characteristics change what diligence should look for, and they are the kind of thing that is difficult to appreciate from the outside. Robin Smith was Chief Operating Officer of Regnology, the regulatory reporting and supervisory technology provider backed by Nordic Capital and CPP Investments, where he led commercial due diligence and integration across four acquisitions and supported the partial divestiture to CPP Investments.
That experience supports sector diligence, expert consultations and operating partner work on assets in regulatory reporting, supervisory technology and adjacent regulated enterprise software. All engagements are conducted on publicly available information and general operating expertise, with existing confidentiality obligations fully respected.
Where it helps
Six places where generalist diligence on a RegTech asset tends to go wrong.
Deep regulatory implementations produce high headline retention almost regardless of customer satisfaction, because switching is genuinely hard. The question that matters is not whether customers renew but whether they would choose the product again, and what happens at the next major platform decision.
A material share of growth in this sector is driven by regulatory cycles rather than by commercial execution. Separating the two determines whether a growth record is repeatable and what the business actually looks like between cycles.
Long implementations blur the line between software and services. Understanding how much of reported revenue and margin depends on delivery capacity, and how that scales, changes the valuation case materially.
Consolidation in this sector has produced groups assembled from multiple acquisitions. Whether those platforms are genuinely integrated or simply commonly owned is one of the most consequential and least visible questions in a diligence process.
Selling to banks, insurers and supervisory authorities means long cycles, heavy security and audit requirements, and procurement processes that constrain pricing and packaging. This shapes the achievable go-to-market motion far more than in general SaaS.
Regulatory domain expertise is scarce, concentrated in a small number of people, and slow to replace. Identifying where that dependency sits is a standard part of assessing operational risk in a RegTech business.
Who this is for
Revenue anchored to regulatory cycles, implementations that flatter retention, and platforms assembled from acquisitions. RegTech does not read like general SaaS.Why sector experience changes the answer.
FAQ
RegTech is software that helps regulated firms, principally banks and insurers, meet regulatory reporting and compliance obligations. SupTech is the equivalent used by supervisory authorities and regulators themselves to collect, validate and analyse that data. The two sit either side of the same regulatory data flow, and several providers serve both.
Robin Smith was Chief Operating Officer of Regnology, the regulatory reporting and supervisory technology provider backed by Nordic Capital and CPP Investments. There he led commercial due diligence and integration across four acquisitions and supported the partial divestiture to CPP Investments.
Engagements draw on general operating expertise in the sector and on publicly available information. Existing confidentiality obligations are respected in full, and no engagement involves confidential information belonging to a former employer.
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