Revan Analytics by DataMaaS

Ask Revan.

The AI analytics module of the DataMaaS Platform.

Your dashboards answer the questions they were built to answer. Revan answers the one you have right now — in plain English, against your own governed data, evidence attached and limits stated up front.

One platform to measure, monitor and manage all your data.

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What Revan is

Your answer is only as good as where it came from.

Today’s AI is built to sound right, not to be right. You’ve used it. You know what it does well and where it quietly guesses — it answers from whatever it happened to be shown, with no view on whether that was the right thing to look at, and the output looks the same either way.

The exposure is the distance between the question and an answer you’d put your name to.

Revan runs on frontier AI. What closes that distance isn’t a smarter model — it’s the rules around it. The model supplies the reasoning; Revan holds your definitions, your entitlements, and one rule a general assistant doesn’t have: every figure comes back tied to its source, or Revan tells you it can’t answer.

Built first for manufacturing and managed service providers — the operators who run them, the investors who back them, and the advisors who work alongside them. One system or several: ERP, PSA, CRM, a warehouse, a lake, in one country or many, aligned to your business requirements.

What an answer looks like

Revan gets the number right — then tells you what to do with it.

01

The analyst

Reads every relevant source, establishes which basis the question needs, and ties each figure to where it came from — before it says a word about what to do.

02

The strategist

Then tells you what the number means and what to do about it: the call first, the support behind it, and the next step you can actually take.

Neither half is worth much without the other.

Illustrative example · you ask

Why did gross margin drop last quarter, and what should we do about it?

The call

Margin fell because of deal mix, not pricing. A cluster of discounted enterprise renewals pulled the blended rate down — your underlying list-price margin held steady.

The evidence

Margin on a realized basis, same scope in both quarters. The drop sits in three accounts that renewed below standard terms, each figure traced to the source it came from.

The caveat

One quarter isn’t a trend, and next quarter’s pipeline isn’t in the data yet. Treat this as a watch-item, not a conclusion.

The next step

Pressure-test the churn assumption on those three accounts — it’s the number the whole decision rests on.

The figures are illustrative. The caveat is the point — a general assistant would have given you the first three parts and never raised it.

The standard

Five things it will always do.

Standing commitments — what a Revan answer still has behind it when a board, a lender, or an auditor starts asking questions.

Including the commitment to tell you when it isn’t sure. That’s the part generic AI leaves out.

  • 01
    Give you a number you can defendEvery figure traced to its source, on a stated basis. When someone challenges it, the evidence is already there.
  • 02
    Tell you what won’t survive scrutiny — firstI stress-test my own conclusion from the angles most likely to break it, then tell you plainly what the evidence cannot yet prove.
  • 03
    Refuse to flatter a bad planIf your premise doesn’t hold, you hear it — with the evidence attached. Agreeable analysis is worth nothing.
  • 04
    Lead with the answer, not the dataThe call and the “so what” come first. Read one line and act; read the rest only if you want to.
  • 05
    Leave the gap rather than fill itNo figure, name, or cause that no source supports. Where I’m inferring rather than reporting, I say so in the answer.
  • Your governed data
  • Read-only
  • Entitlements enforced
  • Never used to train AI

Go deeper

Two questions people ask next.

Both are open — no account needed to read them.

Data & security How your data is read → How a question reaches your data, what comes back, and who decides — read-only, under the permissions you already set. Judgment How Revan thinks → The ten reflex lenses — Lexa through Orion — the angles every answer is tested from, and how ten views resolve into one recommendation.

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