Capture · Measure · Prove

Trace every output
to its value.

Axiolith measures what AI actually returns for your company: time freed, money value, AI cost and return, for each person, team and task, with the evidence behind every figure.

AI ROI overview: capacity freed, net value, return and AI cost, each with its range and evidence grade.
Measured, not assumedHuman time is measured while people work. Time without AI comes from timed studies and records before estimates.
Capacity is not cashHours freed and money actually saved are reported separately, and never added together.
Every figure opens to its workEach number shows its evidence grade, its range and the tasks behind it.

AI ROI

Know what AI returns.

Time freed, money value, AI cost and return, for each person, team and task type. A saving is counted only when there is enough evidence for it, and it always comes with a low and a high.

  • Active human time measured per task: timing only, never what people type
  • Time without AI from timed studies, past records and calibrated estimates, each graded
  • All AI costs counted: model spend and licences
  • Work done in other tools sent in through an API, per person
  • A leadership report that matches the task-level export line by line
  • For engineering: which code changes were AI-assisted, and how they held up
AI ROI: hours saved, AI cost, return, and a table of people with their use and avoidable spend.
Engineering: AI-assisted changes compared with the rest on rework, reverts and tests.

Research

Research that shows its work.

Ask a question. Axiolith plans the comparison, reads official sources and the web, and links every value to the exact sentence it came from. If no source supports a value, the cell says Unknown.

  • An assistant that answers with citations, not from memory
  • Research tables with the source and passage behind every cell
  • Memos and decks where every figure links back to its evidence
  • Arabic sources read natively, with checked English translations
Research table with a source under every value.

Verify

Check what you're handed.

Drop in a financial model, a business plan, a deck or a report. Axiolith tells you which numbers are proven, which are assumptions, which are wrong, and which ones actually drive the result.

  • Every formula recalculated by Axiolith and compared with the workbook's own results
  • Hard-coded assumptions, broken rows and empty references flagged
  • Drivers, scenarios and simulations on the model's real inputs
  • The deck checked against the model: "the memo says IRR 25%, the model says 29.2%"
Model verification: key results, and a chart of the inputs that move NPV most.
A board memo compared with the model: two figures differ, six agree.

Who it's for

One foundation, three professions.

Available

Consultants and analysts

Research with sources, models and decks checked before they reach a client, and the time AI saved on every engagement.

Available

Engineering teams

Which changes were AI-assisted and how they held up: reverts, follow-up fixes and tests, per developer and team.

In development

Legal teams

Every case citation and quotation in AI-drafted work checked: does the case exist, and does it say what the draft claims.

Principles

Built so the numbers hold up.

Every value cites its source

The sentence, page and address behind each figure, one click away.

Unknown is an answer

When no allowed source states it, Axiolith says so instead of guessing.

Rules decide, AI assists

Checks and verdicts come from explicit rules. AI reads and drafts; it never marks its own work.

Your models, your choice

Run on-device or bring your own AI provider. Cloud models are off until an admin turns them on.

Sign in the way you work

Email, Google, Microsoft, or your company's single sign-on.

Private by default

Managers see patterns and totals. Individual questions stay with the person who asked them.

Early access

Start with one team.

We're opening Axiolith to a small number of teams. Tell us what you'd check first and we'll set you up.

  • One team, one real workflow
  • Your data stays in your workspace
  • Results measured, not promised