About Quivv

Built for better business decisions.

Quivv is building the decision layer for finance teams at industrial companies: an AI-native platform connecting data, analysis and action, so finance can move faster, see further and play a more proactive role in the business.

Why Quivv

The decisions are important. The process behind them is still too manual.

Critical business decisions still depend on finance teams manually stitching together fragmented data, spreadsheets and business context.

  • Why did margin deteriorate?
  • What happens if volume falls?
  • Which investments should we prioritize?

Questions that sound simple can require information spread across ERP systems, planning models, operational systems, spreadsheets and knowledge held by individual people.

Before finance can interpret the business, it often has to reconstruct the picture.

That makes decision-making slower, more reactive and less consistent than it should be.

Finance has more data than ever. The challenge is turning it into better decisions.

Our approach

The decision layer for finance.

Quivv connects the information finance works with, the analysis it performs and the actions that follow.

Instead of treating reporting, analysis, planning and business context as separate activities, Quivv brings them into one AI-native environment built around the decisions finance teams need to make.

Quivv · The decision layer

  1. Data

    Connect financial and operational information across the business.

  2. Analysis

    Use AI reasoning alongside company context, financial logic and finance expertise to understand what is happening and why.

  3. Action

    Turn analysis into scenarios, recommendations, plans and decision-ready communication.

Works across your existing systems

  • ERP
  • Planning models
  • Operational systems
  • Data warehouse
  • Spreadsheets
Quivv is a decision layer that moves from data to analysis to action, working across a company’s existing ERP, planning models, operational systems, data warehouse and spreadsheets without replacing them.

AI built for finance

AI that reasons.Numbers that reconcile.

Large language models are remarkably good at understanding a question, reasoning through a problem and explaining what they find. They are not a reliable source of numbers. In finance, a plausible answer is not good enough.

Quivv’s agents are designed around that distinction.

  • Deterministic where it counts

    The numbers

    Figures come from queries against your governed data and calculations executed as code, not from the language model. Definitions, mappings and business rules are set and approved by finance, and every figure can be traced back to its source.

  • AI where it adds leverage

    The reasoning

    Agents plan the analysis, investigate drivers, test hypotheses and draft the narrative, scenarios and recommendations, in the language of your business and grounded in its context.

The result is leverage, not replacement. Finance leaders keep the judgment and the accountability, and gain the capacity to act as true business partners to the leadership team.

From reporting to partnering

Give finance more time to look forward.

Finance teams are expected to do far more than report what happened.

They are increasingly expected to explain performance, anticipate what comes next, challenge assumptions, evaluate trade-offs and help management make better decisions. Yet much of their capacity remains consumed by collecting information and producing recurring analysis.

Quivv is being built to shift that balance.

By reducing the manual work between a business question and a trusted answer, finance can spend more time interpreting the business, shaping decisions and acting as the proactive partner management expects.

Why industrial

Complexity is where a decision layer matters most.

Industrial companies operate through deeply connected systems of products, customers, plants, materials, prices, volumes, currencies, capacity, working capital and capital investment.

A change rarely stops at one line of the P&L. A volume shift can affect manufacturing absorption. A material price change can move margin and inventory. A customer decision can change capacity, cash flow and capital requirements.

Finance needs to understand those connections, not simply report the resulting numbers.

That is why Quivv is starting with industrial companies. We believe the combination of operational complexity, financial interconnectedness and high-value decisions makes this one of the environments where AI-native FP&A can create the greatest impact.

Read the manifesto

Transform finance from a reporting function into a strategic business partner.

Give your team the intelligence to drive better business decisions, faster and with confidence.

A finance professional leaves a pile of paper reports behind and walks into a meeting room, tablet in hand, where the team is waiting.