An executable model of your business.

Fluxion writes down how your business works (its drivers, definitions, assumptions and decisions) as a model a computer can run. Every answer comes with its working, and every question leaves the model a little better than it found it.

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Every number knows where it came from.Ask a what-if, and see exactly what drives the answer.

  • What it meansEvery number carries its definition and its owner, written once and used everywhere.
  • Where it came fromEffects travel through the model hop by hop: aluminium moves cost and prices, prices move volume, and all of it lands in EBIT.
  • What changedEvery version is kept, like code: who changed what, when, and from what to what.

Use it as an app. Or plug it into your AI.The same checked model sits behind every surface.

Step 01: Your systems
  • SAP
  • Oracle
  • OneStream
  • Databricks
  • Snowflake
  • Excel
  • + more
Step 02: Fluxion
  • The model
  • The engine
  • The checks
  • Versions
  • Who sees what

Questions in · checked answers out

Step 03: Your AI
  • Fluxion
  • Claude
  • Copilot
  • ChatGPT
  • + more
  • Step 01:
    ConnectPlug in ERP and the data warehouse, or drop in Excel, CSV, PowerPoint and PDF. Data is cleaned by rules you can read.
  • Step 02:
    DescribeTell it how the business works. AI writes the model and Finance approves each change. Finance logic scattered across SQL, Excel and BI formulas ends up in one place Finance owns.
  • Step 03:
    Ask and automateAsk in Fluxion or in the AI you already use; your agents connect through MCP. Every answer gets the same checks. The ones you need every month become packs and agents that run on their own.

AI proposes. Human approves.

Every change to the model arrives as a proposal: what changes, which numbers move, and which checks passed. Nothing reaches the model until someone in Finance approves it, and every approval is kept in the audit trail.

Everything the model does.Everything it takes to trust the answer, and to ask the hard questions.

Your data

  • Data sourcesNumbers as they are, cleaned and enriched by rules you can read.
  • Data inputsNumbers and assumptions entered and managed directly in Fluxion.
  • Unstructured dataText and documents, ranked by financial materiality.
  • The modelHow your numbers connect, across products, markets, customers, months and currencies.
  • Governed functionsCustomer profitability, EBITDA and gross-to-net bridges, defined once.
  • Messy reality, handledMixed calendars and closes, ledger linked to operations, top-down reconciled with bottom-up.

Trusted foundation

  • AI writes, Finance approvesEvery change to the model is proposed, reviewed and signed off.
  • ChecksAutomatic for units and maths, plus your own for GL tie-out and reconciliations.
  • LineageClick any number and trace it to its data, definition and assumptions.
  • VersionsEvery model and scenario kept like code. Any answer can be reproduced.
  • Audit trailWho changed what, when, and from what to what.
  • Access rulesWho sees what, scoped to what each person owns.

Built for real-world finance

  • Ranges, not point estimatesEnter inputs as low–high, not one number.
  • Scenarios side by sideCompare options on the same model, and see what drives the difference.
  • Goal seekStart from the target and find the inputs that get you there.
  • Fitted modelsTime-series forecasting and driver attribution.
  • Monte Carlo built inSee outcomes as distributions.
  • Answers where you workPacks, dashboards and drafted commentary, plus API and MCP for your own AI.

One question can touch millions of numbers.We do the heavy lifting. You get a checked answer in minutes.

Plans first

Works out exactly which numbers a question touches before anything runs.

Query planning

Never computes twice

Anything unchanged is reused, even across versions. Only what changed is recalculated.

Content-addressed caching

Splits the work

Large simulations run across many machines at once, and scale up and down on their own.

Sharding, autoscaling

Checks every run

Maths, units and your own checks, before and during every run.

Evaluation on every run

Traces any answer back

Every answer is pinned to a model version and a data snapshot, and can be reproduced.

Versioned snapshots
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