Human-centred AI for finance

Built for messy data.
Human led.
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.

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Baseline Accuracy

12.4%

Modelled Accuracy

7.1%

Team submissions

12/15

Total Revenue - EMEA

Guided features

Weighted Pipeline - 2 month lag

+0.09

Promotional event

+0.05

Central Bank Rate change

+0.04

"With 12/15 teams submitted, we have 3 trainable features driving 5.3% accuracy improvement vs. Historic actuals. Want to talk through the reasoning?"

Pluto Assistant

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.

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.

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.

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

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.

Add business context

Use a structured builder and guided assistant to add the things finance teams actually know: event flags, regime changes, price moves, promotions, hiring shifts, and one-off effects.

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.

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

Create lags, rolling windows, event flags, and driver transforms in a way finance teams can actually use, without burying them in modelling jargon.

💬

Conversational guidance

Use plain language to suggest, explain, and apply new inputs directly in the workflow. The goal is to make better judgement easier, not to replace the analyst.

📊

Explainable forecast workflow

Pluto links the baseline, the human inputs, and the final forecast in one place, so teams can see what changed and defend the result with confidence.

⚡

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

Keep a clear record of what changed, why it changed, and which parts came from the model versus the team.

🔐

Designed for messy internal data

Pluto is designed for the kind of internal finance data most tools struggle with: short histories, patchy drivers, manual adjustments, and lots of judgement calls.

Early access

Join the Pluto waitlist