Finance teams have spent years trying to modernize through accumulation. New software promised automation. AI promised efficiency. Specialized tools promised visibility. Yet in many organizations, the result has been a finance function stitched together through disconnected systems that still require significant manual coordination behind the scenes.
That tension sits at the center of Viewz, the financial operations company emerging from stealth with a $7 million seed round led by Ibex Investors and Flint Capital. Rather than positioning itself as another finance automation layer, the company is making a broader claim: that finance operations have become too fragmented for incremental software fixes to solve.
The Cost Of Financial Fragmentation
Enterprise finance has evolved into an ecosystem of specialized products. Accounting systems handle one function, payroll another, planning another, while spreadsheets continue to act as connective tissue between them all. The complexity often grows as companies scale.
The consequences are operational as much as technical. Month-end closes remain resource-intensive. Data consistency becomes difficult to maintain. AI systems trained on incomplete or fragmented information can produce outputs that finance teams still need to manually verify.
For Viewz co-founders Moti Cohen, Omer Aviad, and Liran Kessel, those issues point to a structural problem rather than a feature gap. Collectively, the founders bring decades of experience across auditing, CFO leadership, and finance operations, experience that shaped the company’s approach.
“I started Viewz because I spent 20 years watching finance fail in the same way, not from a lack of data, but from a lack of structure. We are not a better tool. We are a different answer to the same question every finance leader has been asking for years: why does this still feel so hard?” Cohen said.
That distinction matters because many finance technology companies are currently racing to layer AI capabilities onto existing systems. But according to Viewz’s thesis, automation becomes limited when the underlying infrastructure remains fragmented.
A Different Definition Of Finance Software
Most enterprise finance platforms are designed to fit inside a broader software stack. Viewz is attempting something closer to consolidation.
The platform combines a native general ledger with AI agents and an embedded finance operations layer that spans bookkeeping, payroll, reporting, compliance, and FP&A. Instead of requiring organizations to coordinate multiple systems and external providers, the company is positioning the platform as a single operational environment.
At the center of that model is a governed ledger where financial data is continuously reconciled and updated. The company describes this as enabling a “continuous close,” reducing reliance on the traditional month-end reporting process that has historically defined finance operations.
“Finance was never meant to feel this heavy. But it does. More tools. More people. Less clarity. That’s the problem we set out to fix – not by improving the model, but by replacing it,” Cohen added.
The strategy reflects a larger movement happening across enterprise technology. As businesses demand faster reporting cycles and real-time operational insight, infrastructure quality is becoming increasingly important. In many cases, the ability to operationalize AI may depend less on the sophistication of the models themselves and more on whether organizations can maintain clean, unified systems beneath them.
Investors See Signs Of Platform Replacement
Viewz’s early traction suggests customers may be adopting the platform differently from traditional finance software.
The company says it has already reached multi-million-dollar ARR within roughly a year of quietly entering the market. It also reported strong Q4 growth and zero voluntary churn, a metric investors often view as a sign of deep operational dependence.
“Moti, Omer, and Liran have spent twenty years inside the problem they’re now solving. You can feel it in how they talk to CFOs. Most finance-oriented startups are layering intelligence on top of broken plumbing. Viewz rebuilt the plumbing. That’s a much harder thing to do, and it’s the only version of automated finance that scales,” said Aaron Rinberg, Partner at Ibex Investors.
The retention numbers appear particularly meaningful because they suggest customers are not simply adding Viewz alongside legacy tools.
“What stood out wasn’t the growth; it was the retention. Zero voluntary churn tells you customers aren’t using Viewz alongside their existing tools. They’re using it instead. One thing that really caught my attention was feedback from one of my CFOs: if he were using this platform, he believes he could run his team with roughly 30% fewer people,” said Sergey Gribov, General Partner at Flint Capital.
That operational replacement narrative is echoed by customers themselves. “Viewz is my finance department from A to Z; everything I need in one place. When I moved companies, I brought Viewz in from day one,” said Erez Fisher, VP of Finance at Dig Security.
Building Toward Continuous Finance
The broader significance of companies like Viewz may extend beyond finance software itself. Enterprise AI adoption is forcing organizations to reconsider whether fragmented operational systems can support increasingly automated workflows.
In that environment, infrastructure providers may play a more central role than standalone applications. Companies that unify data, workflows, and execution into a single operational layer could become foundational to how modern enterprises function.
With its latest funding round, Viewz plans to continue expanding what it calls a “fully agentic finance team.” Whether that vision becomes mainstream will depend on how enterprises balance automation with operational trust. But the company’s emergence highlights a growing realization across finance: adding more tools may no longer be the answer to complexity.
