Human-centred AI for commercial teams

Built for messy data.
Human centered.
ML powered.

Pluto helps commercial teams build better forecasts when the data is sparse, noisy, and full of one-off events. Pluto brings human-driven context to the modelling workflow, improving accuracy and retaining coherent narratives across teams.

use-pluto.com
Baseline Accuracy
12.4%
Modelled Accuracy
7.1%
Team submissions
12/15
Revenue — EMEA
Guided features
Weighted Pipeline - 2 month lag
+0.09
Promotional event
+0.05
Central bank rate change
+0.04
"3 drivers active — consumer confidence is the strongest signal this month. Accuracy is 4.1% better than baseline. Want me to write the board commentary?"
Styx

Built for Commercial teams who need

More accurate forecasts • Greater collaboration • A coherent story behind the number
Why Pluto exists

Why finance teams still do forecasting in spreadsheets

Most forecasting software assumes clean data, long histories, and stable patterns. FP&A rarely gets any of that. Pluto is built for the reality: sparse series, structural breaks, manual overrides, and stakeholders who still want a number they can trust.

01
Post-hoc explanation is not enough
Most AI tools give you a number after the fact. They do not help finance teams inject business context at the point where the forecast is built. That leaves analysts overriding outputs manually and losing confidence in the model.
02
Business context gets lost
Finance teams think in promotions, hiring plans, pricing changes, policy shifts, and market shocks. Models think in features and transforms. Pluto closes that gap by turning domain knowledge into structured model inputs.
03
Bad data does not mean no signal
Even when history is short and the series is ugly, there is still valuable context in the business. Pluto is designed to use that human signal instead of pretending finance data looks like a perfect machine learning benchmark.
How it works

Human-centred AI for forecasting

01
Start with a baseline
Start with a baseline forecast generated from your core drivers and historic data. Pluto gives you a model-led starting point instead of a blank sheet.
02
Add business context
Use the pipeline builder and Styx, your analysis intelligence, to add business context — event flags, external signals, pricing changes, hiring shifts, and one-off shocks.
03
See what changed the forecast
Pluto shows which inputs improved the forecast, what moved the model, and where judgement helped. The goal is not more complexity. It is a forecast that is both sharper and easier to defend.
04
Share a forecast people can trust
Every change is logged with a clear rationale, so the final output is not just a number. It is a decision-ready forecast with an audit trail behind it.
Who it is for

Built for finance teams living with imperfect data

Pluto starts with FP&A because that is where the pain is sharpest: sparse data, high stakes, and constant pressure to explain the number. Over time, the same workflow can extend into broader business forecasting.

Best fit today
FP&A teams, commercial finance, and strategic planning
You already have the context that matters. Pluto gives you a way to encode it consistently, improve the model, and keep the reasoning visible.
  • ✓Encode domain knowledge without writing code
  • ✓Bring human judgement into the model without writing code
  • ✓See what changed the forecast and why
  • ✓Handle shocks, one-offs, and structural breaks more honestly
Strong future fit
Operations, revenue, and business teams with messy planning data
Any team making forecasts with short histories and lots of judgement can benefit from the same workflow. Pluto is likely to expand well beyond finance once the product surface is proven.
  • ✓Use a structured workflow instead of ad hoc spreadsheet overrides
  • ✓Capture local context without depending on one analyst
  • ✓Create cleaner handoffs between operators and decision-makers
  • ✓Build a forecast process that scales with the business
What makes Pluto different

A better use of AI when the data is messy

🧠
Structured feature builder
Build a feature pipeline with transforms (lags, rolling means, MoM change) and pull in live external signals from 10+ sources — FRED, Yahoo Finance, Google Trends, energy prices, weather, FX rates, and more.
💬
Styx — Analysis Intelligence
Styx is Pluto's built-in AI intelligence. He can add drivers, adjust the pipeline, change the forecasting approach, and write board-ready narrative — all through plain conversation. Everything you can do manually, Styx can do for you.
📊
Explainable forecast workflow
Pluto links the baseline, human inputs, and final forecast in one place. Walk-forward backtesting validates accuracy on held-out data. Optimistic, base, and pessimistic scenarios give a full range for board discussion.
⚡
Built for one-offs and structural breaks
Mark shocks, policy changes, promotions, restructures, and other business events so the model can respond to reality instead of smoothing it away.
📋
Audit trail for finance teams
Export your full forecast state — drivers, assumptions, pipeline, and results — as a portable file. Every change is traceable: model contribution vs. human adjustment is always visible.
🔐
Designed for messy internal data
Any metric — revenue, margin, churn, headcount — across any region or business unit. Build at the lowest level of detail and aggregate up to board level. Pluto handles short histories, patchy drivers, and lots of judgement; it's built for how finance data actually looks.
Early access

Join the Pluto waitlist

We are opening Pluto to a small group of early users. Join the waitlist to hear when access opens and help shape the first version of the product.