Ask any CFO how finance has changed in the last decade and the answer usually includes a list of platforms. ERP upgrades. Automation tools. AI-assisted forecasting. FP&A software. The list is long. The frustration is often still there.
Finance modernisation has, in practice, meant adding. Every new pain point attracted a new solution. Over time, the accumulation of solutions became its own problem, a stack of partially integrated systems that finance teams spend significant effort managing, reconciling, and working around.
Viewz is built on the argument that this trajectory leads nowhere productive. The company, which has just announced $7 million in seed funding led by Ibex Investors and FLINT Capital, isn’t offering to join the stack. It’s offering to render it obsolete.
A Team That Spent Decades Inside the Problem
Co-founders Moti Cohen, Omer Aviad, and Liran Kessel bring a combined 50-plus years of experience in audit, CFO functions, and financial operations. That’s not a background that produces abstract critiques of enterprise software. It produces specific ones.
The specific critique here is structural. Finance teams don’t suffer from too little data or too little software. They suffer from a lack of structure, a governing architecture that keeps financial data consistent, reconciled, and trustworthy across the entire operation. Without that, every tool they add is working with imperfect inputs.
“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,” said Cohen. “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?”
How the Platform Is Actually Different
The architecture of Viewz reflects that founding diagnosis. At its core is a native general ledger, owned and governed by the platform, not integrated from an external system. All financial data flows into that ledger, is reconciled daily, and becomes the single source of truth for every function the platform supports.
Those functions span what would traditionally require multiple vendors: bookkeeping, financial planning and analysis, payroll, compliance, and reporting are all contained within one operating model. The daily reconciliation cycle enables a continuous close, meaning the month-end process that typically consumes significant finance team capacity simply doesn’t exist in the same form.
On top of that governed data layer, Viewz layers AI agents and what it describes as an embedded expert finance function. The distinction from AI built on fragmented legacy data is consequential. AI operating on inconsistent inputs produces inconsistent outputs. AI operating on a fully reconciled, continuously updated ledger can be trusted.
The Metrics That Got Investor Attention
Viewz launched quietly about a year ago. Since then, the company has crossed multi-million-dollar ARR, reported significant Q4 growth, and maintained zero voluntary churn. That last data point drove substantial interest from both lead investors.
Aaron Rinberg, Partner at Ibex Investors, drew a direct line between the architectural approach and the company’s scalability. “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.”
The zero voluntary churn metric is more than a retention number. It’s a signal about how customers are using the product. Customers who use Viewz alongside existing tools could walk away from it without disrupting their core operations. Customers who have replaced those tools with Viewz can’t. Zero churn indicates the latter.
Sergey Gribov, General Partner at FLINT Capital, said as much directly. “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.”
Customer Behaviour as Product Proof
The replacement dynamic shows up in how customers talk about the product. Erez Fisher, VP of Finance at Dig Security, described it not as a software tool but as an entire finance function. “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.”
That behaviour, specifically carrying a finance platform from one employer to the next, reflects a level of conviction that most enterprise software doesn’t generate. It also reinforces the company’s core claim: this isn’t a product that competes with other finance tools. It’s a product that makes them unnecessary.
Positioning Finance as Infrastructure
The $7 million will be deployed toward continued platform development and toward the company’s stated goal of building what it calls a “fully agentic finance team.” The language is intentional. Viewz is positioning the finance function not as a department supported by software but as a continuously operating system.
That framing has broader implications for how enterprise buyers think about AI investments. As AI becomes a standard expectation across finance functions, the reliability of AI outputs will increasingly depend on data foundations. Companies that invest in surface-level intelligence on top of fragmented data will find the results difficult to trust. Companies that invest in infrastructure first will be positioned differently.
Viewz is betting that the infrastructure layer is where the durable value in enterprise finance is being created. The early retention numbers suggest the market may be agreeing.
