For years, enterprise finance teams have modernised by adding. A better forecasting tool. A smarter close platform. An AI layer on top of the existing stack. The additions have been real. The underlying fragmentation has mostly survived them.
Viewz is announcing $7 million in seed funding this week with a position that cuts against that trend. Co-founded by Moti Cohen, Omer Aviad, and Liran Kessel, the company doesn’t add to the finance stack. It replaces it with a single governed operating model built on a native general ledger. Ibex Investors and Flint Capital led the round.
The Problem as the Founding Team Sees It
The three co-founders bring more than 50 combined years across audit, CFO roles, and financial operations. Their starting point isn’t a market gap or a technology opportunity. It’s a structural observation made across decades of working inside finance.
Finance teams have data. What they lack is a governed structure that keeps that data consistent, reconciled, and trustworthy across every system that touches it. Without that structure, every AI model, every automation workflow, and every reporting tool built on top of the stack is running on imperfect inputs. Adding more intelligence to imperfect inputs doesn’t fix them. It scales the problem.
“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?”
What the Platform Actually Does
The platform centres on a native general ledger that Viewz governs directly. Every financial function, bookkeeping, FP&A, payroll, compliance, and reporting, runs through that single ledger, which is reconciled daily.
Daily reconciliation produces a continuously current financial position. Viewz calls this a continuous close. The month-end close cycle that absorbs significant finance team capacity in most organisations becomes unnecessary when the ledger is always up to date.
AI agents and an embedded expert finance layer operate on top of the governed ledger. Because the underlying data is consistently structured, the outputs are consistent. That’s the practical difference between AI built on governed infrastructure and AI built on top of fragmented, manually reconciled systems.
Why the Investors Backed It
Both Ibex Investors and Flint Capital described the investment in terms of infrastructure rather than product features.
Aaron Rinberg, Partner at Ibex Investors, pointed to the distinction between adding intelligence and rebuilding the foundation. “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.”
For Flint Capital, the signal was in the retention numbers. Sergey Gribov, General Partner, noted that zero voluntary churn across the first year of operation isn’t just a satisfaction metric. It reflects how customers have categorised the product. “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.”
The First Year in Numbers
Since launching about a year ago, Viewz has reached multi-million-dollar ARR, reported significant Q4 growth, and recorded no voluntary customer churn. The company launched quietly and let the product build its own case.
That case is visible in how customers describe it. Erez Fisher, VP of Finance at Dig Security, didn’t frame it as a useful tool or a strong platform. “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.”
Bringing a finance platform into a new organisation from day one isn’t the behaviour of someone evaluating options. It’s the behaviour of someone who has already closed that question.
What the Funding Is For
The $7 million round goes toward building out what Viewz calls a “fully agentic finance team,” a finance function that operates as continuous infrastructure rather than a set of tools to be managed and integrated by a human team.
The timing matters. As AI investment in enterprise finance grows, the gap between AI built on governed data and AI built on fragmented data will become harder to ignore. Viewz is building the governed foundation first and treating intelligence as a layer that follows from it. The early numbers suggest that sequence is producing results the category hasn’t delivered through the reverse approach.
