Working with us

How we work.

A short scoping call, then our team does the setup. You see Pythia running on your own process before you commit to anything.

How we work

Hands-on from day one.
Low effort for your team.

  1. 01

    Scoping

    Walk us through a model and your process today in a 30-minute call. We then revert back with a pilot proposal.

  2. 02

    Setup

    Our team configures Pythia on your files. Nothing for your team to build, migrate or maintain.

  3. 03

    Pilot

    Pythia runs on your live process, with regular check-ins and results tracked against the agreed measures.

  4. 04

    Ongoing

    If it's working, we keep it running and expand to more of your processes.

Questions

You're probably wondering.

General-purpose assistants are powerful, and your team should use them - especially for one-off analysis. Recurring work is different: it has to be reliable, consistent and repeatable, period after period. Pythia maps every cell and relationship in your model, so calculations and scenarios run deterministically at any scale and across any number of periods, with every result traceable to the cell. You always know where a number comes from. We use AI only where it gives us leverage: finding insights, gathering context and recommending options. Pythia is built for the team and the process, not one user in a chat window.
No, and it’s not designed to. Pythia takes on the work: pulling data, updating models, spotting changes and running scenarios. Your team gets the time back to partner with the business.
Every output comes with its reasoning and a reference to the cell, sheet or data it’s drawn from, so your team can verify it in seconds directly in your spreadsheet. Calculations are run by code, not an LLM, so the numbers are consistent every time. Every action is logged in the audit trail, and Pythia only makes changes to your files where you’ve set it up to.
No. Pythia works on the Excel and Google Sheets files and the processes your team already has. No migration, no new modelling syntax, no parallel system to maintain.
Each customer gets an isolated environment with file-level access control, hosted in the UK, EU or US. Data is encrypted in transit and at rest, and your models are never used to train foundation models. Numbers are processed by our code; only the summaries needed reach an LLM.
Most teams are up and running within a few weeks. Our team does the configuration, so all we need from yours is a short walkthrough of the model and process, and feedback along the way.

Scale your judgement

Bring a spreadsheet and a process. We'll show you what Pythia would do with it.

Book a callContact us
30-minute callFounder-led