When Matthias Steinberg entered the CFO office at MindBridge in 2022, the audit files displayed on his laptop were already being processed by the company’s own AI. KPMG, he adds, was using the same platform to automate journal‑entry testing—work “traditionally done manual.” That shift marked “a big step toward continuous audit,” Steinberg tells us.
The platform, he explains, monitors “all relevant financial flows” for two audiences. External audit firms—including “a number of the top 100 in North America”—rely on it to surface anomalies with machine‑learning speed. Enterprise finance teams deploy the same engine as a “monitoring cockpit” that flags vendor over‑charges, payroll errors, and revenue leakage so managers can intervene before profits slip. Replacing after‑the‑fact sampling with continuous insight, it gives auditors and CFOs a single source of truth. By serving both constituencies, MindBridge fuses compliance certainty with operational advantage.
Capital strategy now occupies equal attention. Founded in Ottawa, MindBridge had completed several Canadian and U.S. venture rounds; its last raise before Steinberg arrived was led by Silicon Valley’s PeakSpan, he tells us. Charged with “professionalizing the business and also [doing] a fund‑raise,” he orchestrated a recap that introduced Boston‑based PSG Equity and offered early backers a partial exit. The diversified balance sheet, Steinberg says, funds the product roadmap that keeps KPMG—and every controller chasing real‑time insight—a step ahead of the next anomaly. Fresh capital also fuels deeper AI R&D and global reach, he adds.
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CFOTL: Tell us about MindBridge—what does the company do?
Steinberg: MindBridge is an AI‑driven software company. We’ve built a financial decision‑intelligence platform that serves two markets. First, external audit: firms like KPMG use our tool to automate journal‑entry testing and advance their move toward continuous audit. Second, the enterprise market: the same platform monitors every financial flow—order‑to‑cash, payroll, vendor payments—to flag inefficiencies or errors that hit the top or bottom line. Think of it as a real‑time cockpit for finance teams, delivering depth and cadence that simply weren’t possible before machine learning.
MindBridge | www.try.mindbridge.ai | Ottawa, Canada