What is FeasibleHQ?
A work platform for producing feasibility studies. It holds the three things that normally live in three separate files — the financial model, the document, and the evidence behind them — and keeps them in step with each other.
Does an AI calculate the numbers?
No. Every figure comes from a deterministic financial engine with its own test suite. The assistant writes prose and cites figures from the model; it is not permitted to write a number, and if its output contains one you are shown it rather than it being quietly accepted.
What does the assistant actually do?
It drafts each section against the methodology, your brief, the documents you uploaded and the way your practice writes, and you keep, edit or discard what comes back. It appends rather than overwriting, so your own sentences survive. Every figure it produces is a reference to the model; its output is inspected for anything that looks like a typed number or a reference to a figure that does not exist, and both are reported to you.
What happens when I change an assumption?
Every sentence that cites it changes with it. A figure in the text is a reference to a place in the model, not a number that was typed there, so correcting the yield corrects the executive summary, the risk section and the conclusion at the same time. Tables and downside cases move too.
What kind of feasibility study can I produce today?
Renewable energy generation, with a full methodology covering eleven standard sections from the executive summary to the recommendation. You can also add sections of your own to any study. Further methodologies are written as data rather than as code, so they arrive without a rebuild.
Can it read the documents I already have?
Yes. Upload term sheets, yield reports, EPC quotations, tender documents and spreadsheets — PDF, Word, Excel, CSV and plain text. The assistant reads them and proposes model assumptions, each one carrying the exact sentence it came from, checked against the file before you see it. You accept or reject each proposal; nothing is written into your model on its own.
What does it export?
A typeset PDF for the client, an editable Word document with real Word tables, and the model itself as an Excel workbook with live formulas. All three are produced from one model at one moment, so they cannot tell different stories.
What is the seal, and how does someone check it?
A sealed study carries a SHA-256 seal over its assumptions, its parameters and every figure computed from them, and the PDF carries the machine-readable model inside it as an attachment. The recipient drops the file on the verification page, which re-runs the model in their own browser and reproduces every figure in the document, digit for digit. They never have to contact you, and nothing is uploaded anywhere.
Who can see the documents I upload?
They are stored privately and are readable only by your own organisation. When you ask the assistant to draft a section or to read a document, the passages it needs are sent to the model provider for that request; nothing is sent at any other time. The free spreadsheet audit sends nothing at all — that page is served with a policy that forbids it from making any network request.
Does the second study go faster than the first?
That is the point of it. Start a new study from an old one, keep passages you are happy with and reuse them — with their figures still bound, so the previous client’s numbers cannot travel into the new document — and search across everything your practice has written.
What does it cost?
It is free while we are in early access. There is no card and no billing to cancel.