The speed of AI chart-building, with numbers computed by a fixed finance engine — not guessed by a language model.
More and more finance people are pasting a spreadsheet into ChatGPT or Claude and asking for a chart. It feels like a shortcut, until you check the figures. The recurring failure is always the same thing: the numbers. A general-purpose model writes one-off code for each request, and that code miscalculates totals, silently drops rows that do not parse, breaks the moment a column is named something it did not expect, and produces a chart whose values no longer match your source data. For a finance audience, a wrong figure in a published chart is worse than publishing no chart at all, because someone downstream will treat it as fact.
Quadesto takes a deliberately different line. We use AI for what it is genuinely good at — understanding your request, picking a sensible chart, assembling the layout and helping with copy — but we do not let a language model do the maths. Every value on a Quadesto chart is computed by a fixed, deterministic finance engine of more than 90 functions, applied server-side, that reconciles against your source data. Same inputs give the same outputs, every single time, and nothing gets quietly dropped along the way.
When you ask ChatGPT or Claude for a chart, it improvises fresh code for that one prompt. That code has never been tested against your particular data, so it can misread a date column, coerce a currency string to zero, or sum the wrong rows without ever warning you. Because the calculation is regenerated each time, two identical requests can return two different answers. The model is optimising for a plausible-looking reply, not for a figure that reconciles — and in finance those are not the same goal.
Quadesto computes every metric with the same vetted library functions on every run, so results are repeatable rather than reinvented. The engine covers Black-Scholes pricing and Greeks, SVI volatility calibration, SMA, EMA, RSI, MACD and Bollinger bands, drawdown, Sharpe, VaR and correlation, plus monotone-convex yield-curve interpolation, forward rates, duration and convexity. These are fixed implementations applied to your data, not code a model wrote moments ago. The practical upshot is simple: give the engine the same inputs tomorrow and you get the same outputs, with no silent drift.
Because the maths is deterministic and server-side, every value on the chart traces back to a specific calculation over specific rows of your source data. Nothing is dropped without being accounted for, and totals reconcile against the figures you started with. That means you can hand a chart to a colleague, a compliance reviewer or a reader and stand behind each number. Auditability stops being a promise and becomes something you can demonstrate.
The AI helps you choose and assemble the chart and draft the words around it, but it never overrides your decisions on how the chart reads. You keep full control of labels, legend, axes and styling, so the presentation stays consistent instead of mutating with every prompt. Pull from fifteen data providers or your own CSV, JSON and Excel files. Export to PNG, SVG or PDF, or publish a live embed that auto-refreshes on the Creator and Pro plans.
Finance newsletter writers, research analysts, advisers, CFO and FP&A teams and investor-relations teams all share one constraint: their charts get quoted, forwarded and acted upon. For them a chart is a claim, and a claim needs to hold up to scrutiny. Quadesto is built around that reality — fast to produce, honest about where AI helps, and uncompromising on the one thing that matters, which is the accuracy of the figures. You move quickly without gambling your credibility on a number a model guessed.
Build financial charts with AI speed and numbers computed by a deterministic engine you can audit against your own data. Start free, or unlock live embeds and auto-refresh on Creator at £39 and Pro at £149.
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