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Which kind of tool do you actually need?

Not “which vendor wins every row”. That table gets fact-checked and dismissed, and rightly. Here are the four kinds of tool people buy instead of Kamino, named and priced, each with the row it genuinely wins. Competitor prices are as published, August 2026 — check them yourself; we would rather you did.

Spreadsheet pipes

LiveFlow

Do I just need my books inside the model I already have?

Where they win

Wins when the model already lives in Sheets and works. If your spreadsheet is the answer and it only needs feeding, feed it.

Where Kamino wins

Kamino is the other choice: you stop maintaining the model. The scoping, the lineage and the aggregation are the product, not something you rebuild each month.

Who it actually serves

Whoever maintains the model, which in practice is one person. Everyone else is sent a tab.

Kamino serves five roles at once, because a drill-down ceiling per role per data domain is the only way stitched payroll, margin and time data can be handed to producers and resourcing at all. How the ceiling works.

Report packs

Fathom · Syft · Reach · G-Accon

Fathom ~$50/mo · Syft ~$23/mo

Do I need a monthly pack that looks finished?

Where they win

Fathom wins on polished board packs — hand it over and it reads well. Syft wins on entry price at ~$23/mo.

Where Kamino wins

Kamino wins on operator scoping, drill-to-record, and multi-entity economics. Fathom is ~$106/mo at two entities and ~$280 at ten; a pack still cannot tell you which project lost money.

Who it actually serves

Finance, and the board it hands the pack to. A pack is either shared whole or not shared, because there is nothing in it but the general ledger.

Kamino serves five roles at once, because a drill-down ceiling per role per data domain is the only way stitched payroll, margin and time data can be handed to producers and resourcing at all. How the ceiling works.

FP&A platforms

Jirav · Datarails

Jirav $250–700/mo

Do I need driver-based modelling and someone to run it?

Where they win

Jirav wins on driver-based 3-statement modelling. Datarails wins for teams that genuinely live in Excel and will not leave.

Where Kamino wins

Kamino wins because you do not have an FP&A analyst, and they are priced assuming you do. Jirav runs $250–700/mo before anyone has touched a driver.

Who it actually serves

The finance team. Everyone in the room is already finance, so the question of who may see a cost rate never comes up.

Kamino serves five roles at once, because a drill-down ceiling per role per data domain is the only way stitched payroll, margin and time data can be handed to producers and resourcing at all. How the ceiling works.

Generic BI

Power BI · Tableau · Looker

Power BI $10/user · Tableau $75/user

Do I need to draw anything at all?

Where they win

They win on drawing anything. Any chart, any shape, any source, no ceiling.

Where Kamino wins

Kamino wins because they need a third-party connector to reach QuickBooks, then DAX and Power Query — and YOU build the semantic layer. That layer is the part that decides whether the number is right.

Who it actually serves

Anyone — once someone builds the model and the row-level security under it. That is a modelling project with a data engineer attached.

Kamino serves five roles at once, because a drill-down ceiling per role per data domain is the only way stitched payroll, margin and time data can be handed to producers and resourcing at all. How the ceiling works.

Power BI will draw anything you ask it to. It won’t tell you the number is right.

If your model works, keep it

Kamino is for operators who never wanted to build the model in the first place — who want profit by project, client and department out of the books they already keep, and want to be able to open the invoice behind any figure. If that is not the problem you have, one of the tools above is a better buy, and we would rather say so here than in month three.

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