We’re thrilled to announce our seed investment in Pluvo, the AI-native financial analysis platform built for CFOs and FP&A teams. We’re proud to be joining a16z speedrun, Deel, The Perseverance Fund, and AltaIR Capital in a $5M USD round.
Every forecast is built on assumptions. A growth rate chosen because last quarter was an outlier. A hiring plan adjusted because the sales team is behind. A churn estimate revised after a difficult board conversation. Those assumptions are the actual intellectual content of financial planning. They are why the numbers are what they are. And they have always existed exclusively in someone’s head.
What gets recorded is the output: a number in a cell, a version of a spreadsheet, a snapshot in a dashboard. The reasoning that produced it disappears the moment the model is saved. When reality diverges from the plan, which it always does, nobody can trace back through why the plan said what it said. The audit trail is empty. The institutional memory is gone. And AI, applied to this data, can describe the divergence but cannot explain it. It is reasoning about shadows.
This is also why many companies stay on Excel: not because they don’t want to change, but because the tools built to replace it are expensive, slow to implement, and require months of configuration before they deliver anything. The gap between seeing the data and understanding what it means for the business has remained stubbornly open.
Pluvo is built on a single architectural decision: assumptions are meaningful data.
Structured, versioned, queryable data, preserved alongside the numbers they drive and updated as the business changes. When a department head revises a hiring plan, the revision is captured. When the CEO adjusts a growth assumption, the reasoning travels with the change. The question isn’t just what the model says, but also what the model believes, and why, and who decided.
Most financial tools live at the data layer or the reporting layer. They tell you what happened. Pluvo is designed to operate above them, at the knowledge and decision layer, where numbers become understanding and understanding becomes action. Over time, this creates something that has never existed in financial planning: a longitudinal record of how decisions were made. This record is what AI actually needs. Not historical outputs, but the causal structure behind them.
Picture a Wednesday morning P&L review. Revenue is down. A traditional tool highlights the variance and points to a region. The meeting pauses while someone volunteers to dig in. Pluvo doesn’t. It identifies that the impact is concentrated in European mid-market, that deal volume held but average deal size declined, and traces the root cause to increased discounting on a specific product line, all with traceable logic the team can interrogate on the spot. The question moves immediately from what happened to what we should do about it.
That is what Pluvo’s agentic analysis engine does at scale: deploy specialized agents that evaluate forecast assumptions, decompose variances by driver, and synthesize findings a CFO can act on, and continuously, not just when someone has time to build the model. The result is decision-grade intelligence that compounds the longer a company runs on it, because the dataset and the reasoning history grow together.
Pluvo connects natively to QuickBooks, Xero, NetSuite, and 220+ additional systems, pulling actuals automatically. Finance leaders can stand it up in days, not months, with no implementation project and no consultant.
Pluvo was co-founded by the incredibly ambitious and insightful Alex Labrèche, Vanessa Galarneau, Andrew Ingram, and Sebastian Fallenbuchl. We’ve watched this team execute since they started, and our conviction has only grown with each conversation.
Alex is the kind of founder who draws people in. He is a natural storyteller and skilled operator who earns the trust and time of financial executives at companies like 1Password and Carta, and has built an exceptional founding team. His LinkedIn presence has become a genuine distribution channel, driving inbound from the finance and CFO community that most early-stage companies would spend years trying to build.
Trained deeply in financial management, Vanessa guides sales calls, shapes product decisions around how finance teams actually work, and brings a credibility with buyers that is very hard to manufacture. Most software companies selling to CFOs spend years trying to earn trust with a persona they don’t fully understand. Pluvo is built with the insights of someone who has lived it.
Andrew built the current product after years in infrastructure engineering at Ford and Ciena. He is the kind of CTO who has been inside the systems that large organizations actually run on, which matters when integration with all of them is so critically important.
Sebastian has built a genuine following in the finance community through sharp, irreverent content that makes FP&A feel like something worth paying attention to. In a category where distribution is hard and the buyer is skeptical, that is a real and rare asset.
What’s unusual about this team is not any one person but the combination. The hardest things about building FP&A software are earning trust with a skeptical buyer, shipping a product that integrates with the systems finance actually uses, and reaching a community that doesn’t seek out new software. Each Pluvo co-founder has spent their career to date preparing for one of those problems.
Half the mid-market is still on Excel. No FP&A vendor holds concentrated market share. The category has been defined by tools that either overshoot with expensive enterprise deployments that take a year to implement, or undershoot with shallow dashboards that don’t replace the model. The gap in the middle has stayed open because nobody has solved the right problem.
Our POV is that the right problem is not the experience of the interface, but the usefulness of the data. The companies that define the next decade of enterprise software will be the ones that identify a data type that has always been useful and never captured, build the workflow that collects it as a natural byproduct of doing the job, and let the intelligence compound from there. What Salesforce did with customer interactions and Workday did with HR events, Pluvo is doing with financial decisions.
The assumption layer has always been there. Now it becomes useful.
We’re proud to back Alex, Vanessa, Andrew, and Sebastian as they build the system of record for how companies think about their own future.
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