In most planning tools every scenario you save makes the model itself heavier, so teams start rationing which questions are worth asking. In Fintastic each version is its own separate model. Saving twenty of them leaves the main model exactly as fast as it was with one, and nobody has to decide which questions make the cut.
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When saving a version slows everything down, teams get careful about it. Only the questions worth the wait get modelled. The rest get answered from instinct, or from a side spreadsheet, or not at all.
That is not a modelling problem. It is a decision-making one. The board sees three scenarios because three was what the model could carry, not because three was the right number of ways the year could go.
Pigment deploys through a network of implementation partners. Fintastic builds in-house: the team that built the platform builds your model with you, at roughly three to five hours a week from your side, and support sits inside the subscription rather than in a change-request process.
Both approaches work. The difference shows up eighteen months in, when the business changes and the model has to change with it.
From evaluation through build and every change after.
A change six months after go-live is not a separate engagement.

Four things about how Fintastic is built. Each one shows up in what your team can do in a forecast cycle.
A version can be a plan, a forecast, or a what-if. It holds its own numbers, its own level of detail, and its own formulas. Saving more of them costs nothing in speed, and any two can be compared in one click even when they are built differently.
Finance, revenue, headcount, and operations sit in one model and are present in every version, so a hiring change reaches the P&L without anyone moving data between systems.
Big models with a lot of detail in them are where planning usually gets slow. Fintastic runs two calculation engines side by side on the same model, so nobody has to choose between planning at the level they want and getting an answer quickly.
Every comment links to the exact cell, filter, view, version, and time period it was made in. Clicking it puts the board back into that state, so a question is never separated from the number it is about.
Priceline's FP&A team went into the search with two leading candidates, each already in use at a sister company inside Booking Holdings. Fintastic was introduced late in the process. What changed the evaluation was what happened when they saved a version. Their requirement was to be able to copy the whole environment, change a driver, see the impact, and compare it against the base, as many times as a forecast cycle needed. In both leading candidates, every version saved added weight to the model. In Fintastic, versions are separate models, which is what made the requirement possible at all.
We have Fintastic because it gives us real-time forecast decision making in ways that we couldn't have even dreamed of before.
Director, FP&A
Priceline
Read the full Priceline storyseparate models to one model
what-ifs saved in the 2026 budget cycle, up from one a day
people using it, 20 working in it at once during peak forecasting
driver change to finished P&L
Two modern platforms built on different choices. Which set fits depends on how many what-ifs you run, how many parts of the business you plan across, and how much detail your data carries.
Based on publicly available product documentation and customer accounts as of 2026. Pigment's roadmap may introduce changes to what is described above.
Enterprise security built in: SOC 2 Type II · ISO 27001 · AWS infrastructure · Encryption in transit and at rest · SSO with group-level controls
The short version: saving a what-if costs nothing. In Pigment scenarios sit inside a single model, so the model grows as you add them. In Fintastic each version is its own separate model, so saving twenty of them leaves the main model exactly as fast as it was with one.
Fintastic also holds finance, headcount, and operations in one model rather than in separate applications joined together.
Pigment is a strong platform with real design and AI investment, and teams that value interface polish and run a contained number of scenarios are often very happy there.
The teams that move to Fintastic tend to be the ones running a lot of what-ifs at once, planning across finance, headcount, and operations together, or carrying enough detail that model size has become the thing holding them up.
No. Because each version is its own model, saving twenty of them leaves the main model performing exactly as it did with one.
This is straightforward to show on your own data rather than take on trust.
It is a fair question and worth asking directly. Priceline asked it too, and evaluated both. They chose Fintastic on the ability to save unlimited versions without slowing the model down.
Company size is a reasonable proxy for risk. Testing both on your own model is a better one.
Send us the scenario you cannot run today. We will build it in Fintastic and show it calculating live.
See your model runSOC 2 Type II · ISO 27001 · AWS infrastructure · Encryption in transit and at rest · SSO with group-level controls