Play with the engines. No sign-up, no data required.
Two ways in: visit our playground — a functioning instance of the finsait platform, preloaded with synthetic data — or test the engines with the in-browser illustrations below.
Want the real thing? Our playground is finsait itself, preloaded with realistic synthetic data — choose between three companies (Acme Industrial, Zephyr Logistics or Orion Holdings) and explore cash position, forecasts, exposures and the full scenario engine. No sign-up required.
Acme Industrial
FX uncertainty — hedge now or wait for the ECB?
A fictional mid-cap European manufacturer — three entities across Spain, the UK and the US, with roughly 40% of revenue in USD and GBP and a £40M payable falling due. Realistic data, invented companies; nothing here is a real client.
Open Acme Industrial in the playground →Two engines. Open one, play — then feed it your own data.
Each engine opens with a simplified in-browser illustration on synthetic data, for demo purposes. One step further and the actual production engines run on your own CSV — fair use: 3 forecast runs and 10 risk simulations per day, 25 runs lifetime. Hitting those limits? You're ready for the pilot.
Forecasting Engine
The model learns Acme's cash-flow patterns — trend, weekly cycles, month-end spikes — and projects forward with a confidence band. Change the horizon or the scenario and watch the forecast and the freed-up buffer update live. This is a simplified in-browser model, for demo purposes only.
↳ Synthetic data for illustration. Accuracy and buffer figures are modelled on the fictional dataset, not client results.
Now run the production engine on your own series
First time, we email you a 6-digit code to confirm the address; after that, your email alone signs you back in. No sales follow-up: the address is a gatekeeper, not a lead list — we use it only to enforce fair use and to learn whether engine tests turn into pilots.
Valid for 15 minutes. ·
✓ Engines unlocked for
Forecast your cash series
A CSV with a date column and a value column — daily, weekly or monthly. No data handy? Download a sample.
Risk Engine
Acme carries FX and interest-rate exposures across its entities. Apply a market shock and see the P&L impact instantly — unhedged versus hedged — the "what-if" that normally takes days in a spreadsheet. This is a simplified first-order model, for demo purposes only.
| Exposure | Notional | Impact |
|---|---|---|
| USD receivable (EUR/USD) | €44M | €0.0M |
| GBP payable (EUR/GBP) | €26M | €0.0M |
| Floating-rate debt | €180M | €0.0M |
Illustrative first-order model on synthetic exposures. The platform runs full Monte Carlo simulation on your live curves.
Now run full Monte Carlo on your own exposures
Simulate your FX risk
A CSV with Currency and Amount columns — your rough exposure book, reported in EUR. No data handy? Download a sample.
↳ Your file is processed in memory to produce the result and is not stored. Runs are counted per verified email and per IP for fair use. Real engines, real math — results depend entirely on your data.
The Cash Advisor
We're building a genAI assistant into every finsait deployment — one that understands your data and answers in plain language. Here's the kind of conversation it's being built for.
Scripted sample responses, for illustration only — the Advisor is not yet built. It's on the roadmap; when it ships it will answer from your own connected data.
See it on your own data.
These illustrations run on a fictional company. Visit our playground to see the real platform — or join the pilot and we point the engines at your data.