Business
Feb 25, 2026
We raised $5M to build the future of financial analysis. Here’s what we’re building and why.
By Alex Labrèche, CEO & Co-Founder | Seb Fallenbuchl, COO & Co-Founder
Today we’re announcing that Pluvo has raised $5 million in seed funding, with participation from Andreessen Horowitz’s a16z Speedrun, Deel, The Perseverance Fund, StandUp Ventures, AltaIR Capital, and a group of strategic angel investors.
Many of those angels are our own customers: CFOs and finance leaders who use Pluvo to run scenario planning, forecasting, and strategic analysis for their businesses, and decided to invest personal capital alongside institutional backers. That means something to us. When the people who use your product every month also want to own a piece of the company, it says more than any pitch deck can.
We are especially grateful to the advisors and investors who have supported us along this journey.
Industry leaders like Greg Henry from 1Password, Charly Kevers from Carta, and so many other operators and builders who have shaped modern SaaS from the inside.
These are people who have scaled companies, built finance teams, navigated uncertainty, and lived the exact problems we are working to solve. Their belief in what we’re building is conviction. And it is a responsibility we take seriously.
To everyone who has advised us, challenged us, introduced us, tested early versions, and pushed our thinking over the last few years, thank you. Pluvo is better because of you.
The problem we kept seeing
We’ve spent years in rooms with CFOs, finance directors, and FP&A teams. Across industries, company sizes, and tech stacks, we kept hearing the same frustration.
The data is fine. Accounting systems are accurate. CRM is synced. The BI tool is live. And yet every month, the same questions come up: why did revenue change? What assumptions broke? What should we actually do about it?
And every month, someone promises to “dig into it.” They open a spreadsheet. They trace formulas. They cross-reference three tabs, two exports, and a half-remembered conversation from a board meeting. Hours later, maybe they have an answer. More often, they have a version of an answer that’s good enough to present.
The gap isn’t in the data. It’s in the analysis. Businesses have invested massively in systems of record: ERPs, CRMs, HRIS platforms, billing systems. All of that data is accurate and constantly updating. But accuracy and understanding are different things. Dashboards tell you what happened. They don’t explain why or what you should do next.
That’s the gap we built Pluvo to close.
The Data to Decision Pathway
Every CFO or decision-maker already has data. Over the last decade, we have built systems of record for everything including accounting, CRM, HRIS, billing, and analytics. The modern business is not starved of information.
What it is starved of is confidence. Turning data into a decision you feel certain about is not straightforward. There is a pathway that has to happen first.
Data has to become insight. That means cleaning it, transforming it, and connecting disparate data points into something coherent. It means looking at thousands of transactions and concluding that revenue is up, churn is down, or margins are compressing. Insight tells you what is happening.
But insight alone is not enough.
Insights must combine into knowledge, the “why” behind the numbers. Why is churn down? Was it pricing? A large enterprise renewal? A temporary market shift? How does that change hiring plans, marketing spend, or cash runway? Knowledge answers the questions: How does this affect us? What does this mean? Why should I care?
This is where most organizations get stuck. Spreadsheets multiply. Meetings stack up. Analysts rerun models. Stakeholders debate assumptions. Context lives in inboxes, Slack threads, and people’s heads. The effort required to assemble knowledge becomes a project in itself.
Only after enough knowledge is gathered can a real decision be made. Hire or wait. Invest or conserve. Expand or double down.
Today, that entire pipeline from data to insight to knowledge to decision is largely manual. It relies on teams of analysts moving between systems, reconciling assumptions, chasing context, and racing against time to produce something leadership can stand behind. Even then, decisions are often made with lingering doubt.
Why AI changes the equation
For a long time, the technology to solve this problem didn’t exist. Companies tried to close the analysis gap with faster spreadsheets, bigger databases, and more integrations. But the actual work of making sense of financial data still fell to individuals. A senior analyst with strong Excel skills was, in practical terms, the analysis engine.
AI has changed that. The technology has reached a point where we can embed structured, autonomous analysis directly into planning workflows. We can deploy specialized AI agents that understand a company’s financial model, evaluate forecast assumptions against actuals, and trace the drivers behind a variance, all in real time.
This is different from adding a chatbot to a dashboard or generating a summary of a chart. This is replacing a process. When Pluvo runs an analysis, it connects across data sources, investigates root causes, and delivers structured, computation-backed explanations that finance teams can interrogate and simulate.
That distinction matters. A lot of AI in finance today is surface-level: it describes what you can already see. Pluvo digs into why it happened and what it means for the decisions ahead.
What we’re building
Pluvo is the analytical reasoning layer for finance. It connects to your existing data sources (ERP, HRIS, planning tools, spreadsheets) and does the work that currently takes an experienced analyst days: decomposing variances by driver, tracing each driver to its root cause, classifying what's structural versus temporary, and synthesizing findings a CFO can act on. Every claim links back to source data.
Rather than relying on the user to write the right prompt, Pluvo asks the right questions, presenting smart, selectable options that capture intent without requiring analytical expertise. Each month, it runs again and compares its new findings against prior findings, tracking whether classifications held, projections landed, and patterns evolved. Over time, it builds a structured analytical history of the business; not just what the numbers were, but why they moved and which explanations proved correct.
What is Decision Intelligence?
Most financial tools live at the data layer (systems of record) or the reporting layer (dashboards and BI). Pluvo is designed to live in a new space, at the knowledge and decision layer. We combine deep financial modelling with agentic AI to deliver continuous variance analysis, multi-scenario planning, AI-driven forecasting, and context-aware explanations of performance.
Here's an example. Picture a Wednesday morning P&L review. Revenue is down. A traditional tool highlights the variance and maybe points to a region. The meeting pauses while someone volunteers to investigate.
Pluvo doesn't pause. It identifies that the impact is concentrated in European mid-market. Deal volume held steady, but average deal size declined. Digging further, the platform traces the root cause to increased discounting on a specific product line. It surfaces this analysis with traceable logic, so the team can verify it, ask follow-up questions, and adjust assumptions on the spot.
And those follow-up questions aren't limited to what happened and why. The real power is in asking "what if," over and over, in real time. What if we hire three more sales reps. What if we 4x marketing spend. What if we raise a $5M seed round. What if our biggest client churns. What if we win all four bids. Each scenario branches from the same grounded model, so leaders can compare trade-offs side by side and pressure-test assumptions before committing to a path.
Teams arrive aligned. Meetings focus on action. Decisions get made with shared understanding instead of debate.
And over time, Pluvo builds institutional memory. Each analysis captures the reasoning behind decisions, so the system gets smarter the more a business uses it. The insights compound.
Where we’re going
We’ll deploy this capital toward four priorities: expanding our agentic analysis engine, scaling the product and engineering team, growing go-to-market efforts targeting finance leaders, and deepening integrations across our client's entire data stack.
We already support dozens of growth-stage and mid-market businesses across North America. Demand is accelerating, especially from CFOs who have tried the legacy FP&A tools and found them wanting. We’re hearing from finance leaders who don’t want a faster spreadsheet. They want a system that understands their model and helps them act on it.
We see Pluvo becoming the system of intelligence that sits above the system of record: the layer where data becomes knowledge and knowledge becomes action. Finance is the starting point because the problems are acute and the stakes are high. But the vision extends to every function where leaders need to make decisions grounded in context.
A note of thanks
To our investors: thank you for believing in what we’re building before it was obvious. To our customers who also became investors: your conviction means more than you know. And to the broader Pluvo team: we’re just getting started.
If you’re a finance leader who’s tired of spending your weeks building analyses that should already exist, we’d love to show you what Pluvo can do.