Maestroby Transformix
AI investment consulting

Investor files that hold up under the first ten minutes of questions

Bring the deck, spreadsheet and plan you already have. Answer a short round of questions, ranked by how much each one moves your valuation. Get seven investor documents built from one fact base, where every figure opens to its source.

Projects / Mawid / Documents Snapshot snap_7f3a Demo data
Next step

Review and approve the pitch deck before delivery

Open review
09 / 14

Revenue outlook

Revenue 2029, year three
Package7 documents
1Market studyVerified
2Competitor analysisVerified
3Financial projectionsVerified
4ValuationVerified
5Investment memoVerified
6Pitch deckIn review
7Founder handbookVerified

The founder workspace, running on a fictional demo company. Click the highlighted figure to see where it came from.

The problem

General-purpose AI writes well and counts badly

It produces persuasive prose, then puts one revenue figure in the deck, another in the memo and a third in the model, citing a source nobody can find. An experienced investor notices in the first minute.

Revenue for 2029, as it appears in three documents of the same file
Pitch deck, slide 9
41.538.8
EGP million
MismatchRevenue!F12
Investment memo, page 4
39.238.8
EGP million
MismatchRevenue!F12
Financial model, Revenue!F12
36.938.8
EGP million
MismatchSource

Three values for one figure, and a source that doesn't exist: "Market Report 2025, p. 31"

One value from one model line, in every document, read from snapshot snap_7f3a

01

Code does the maths

A deterministic financial engine computes every number. The language model proposes and explains assumptions, and never does arithmetic.

02

One fact, seven documents

Every document reads from the same frozen snapshot, so market size in the deck is market size in the memo and the model. By construction, not by proofreading.

03

No claim without a source

Each claim points to a specific passage in an approved source. A sentence whose reference can't be found is removed, and the gap is stated plainly.

04

Ask before assuming

When a fact is missing, the system asks. When it has to assume, it says so and waits for you to accept the assumption before building on it.

How it works

Seven steps, and two gates the system can't skip

Analysis doesn't start until the minimum facts are in, and nothing leaves until it passes validation.

  1. 01Input

    Upload what you already have

    Pitch deck, Excel model, business plan, pricing sheet: PDF, Word, PowerPoint, Excel or plain text. No files yet? Type what you know.

  2. 02Understand

    Every value gets a state

    The system reads text, tables and figures and turns them into facts, each marked provided, extracted from a document, inferred, or missing. An extracted value keeps its file, page and quoted passage, and stays unconfirmed until you confirm it.

  3. 03Gap checkGate 1

    Questions ranked by their effect on valuation

    No analysis until the minimum fact set is complete. Questions come in rounds of ten at most, highest impact first. Answer "I don't know" too often and your file goes to a consultant, with a complete list of what's missing.

  4. 04Research

    Market and competitors, with dated sources

    Specialist agents size the market top-down and bottom-up and check that the two converge, then map direct competitors, substitutes and positioning, with the date of every source.

  5. 05Produce

    Seven documents from one snapshot

    The facts and the financial model are frozen into a single snapshot, and all seven documents are written from it in Arabic and English. Two documents can't disagree on a number.

  6. 06ValidateGate 2

    Four checks, and failures are never hidden

    Sources, numerical consistency, financial-model integrity, and an investor critic that attacks the memo the way an investor would. A failed check sends the document back to the agent responsible, with the reason, and the failure is logged.

  7. 07Deliver

    Released only after human review

    A consultant reviews the package, you approve it, and it exports as PDFs in Arabic and English, a PowerPoint deck and a live Excel model.

Files4 files, 31 pages
PPTXpitch-deck.pptxIndexed14 slides
XLSXmodel.xlsxIndexed3 sheets
DOCXbusiness-plan.docxIndexed12 pages
PDFpricing.pdfIndexed5 pages
Facts18 confirmed, 4 to review, 3 missing
Company nameMawid

ProvidedEntered by the founder

Monthly price per clinicEGP 1,450

Extractedpricing.pdf, p. 4: "Basic plan, EGP 1,450 per month"

New clinics per month100

InferredFrom the sales pipeline in the business plan, awaiting your acceptance

Monthly churn?

MissingAsked in the first round of questions

Question round 13 of 10
64%100% Gate 1 readiness, weighted by each fact's effect on valuation
Gate 1 closedGate 1 open
Question 1High impact on valuation

What share of clinics cancel their subscription each month so far?

Under 2%2% to 4%Over 4%I don't know
Question 2Medium impact

How much are you raising in this round, and how will you use it?

Enter an amountI don't know
Serviceable obtainable marketEgypt, 2029
Top-downEGP 410m
Bottom-upEGP 372m
9% apart, inside the 15% band
[S1]Sector report, p. 14March 2026
[S2]Official count of private clinics2025
[S3]Pricing pages of 6 direct competitorsNovember 2026
Packagesnap_7f3a
01Market studyPDF
02Competitor analysisPDF
03Financial projectionsXLSX
04ValuationPDF
05Investment memoPDF
06Pitch deckPPTX
07Founder handbookPDF
All seven read from the same snapshot, so no two can disagree on a number
Gate 2: four checksNothing ships unvalidated
SourcesPassed46 claims, each with a matching passage
Numerical consistencyPassed112 figures across 7 documents, no conflicts
Financial-model integrityPassedBalance sheet balances, cash flow reconciles
Investor criticReturnedPassed2 objections to the memoBoth objections resolved
14:01:52 Critic: churn assumption is unsupported in the memo → returned to the memo agent
14:02:07 Assumption reference added, check re-run → passed
DeliveryAfter human review
C
Investment consultantReviewed the package, left 3 notes
Reviewed
F
FounderAccepted the assumptions, approved the package
Approved
PDF English PDF عربي PowerPoint Live Excel
Every read, edit and approval is recorded in the project log
The package

The seven documents investors ask for, from one snapshot

Each is checked before it reaches you, and all seven read from the same snapshot, so a number is the same wherever it appears.

#DocumentWhat's insideChecked before deliveryFormat
01

Market study

TAM, SAM and SOM, top-down and bottom-up, with growth drivers and the regulatory context.

The two methods converge; every number has a source and a date
PDF
02

Competitor analysis

Direct competitors and substitutes, a positioning matrix, and the funding each has raised.

Freshness of the data and the date of every source
PDF
03

Financial projections

A live five-year, three-statement Excel model with three scenarios and sensitivity analysis.

Balance sheet balances, cash flow reconciles, growth is plausible
XLSX
04

Valuation

VC method, Scorecard, Berkus, DCF and multiples, weighted by stage into a single range.

Every assumption consistent with the model
PDF
05

Investment memo

Thesis, opportunity, team, risks, what would prove the thesis wrong, and proposed round terms.

Reviewed by the automated investor critic
PDF
06

Pitch deck

12 to 15 slides in the structure investors expect, in your company's own brand.

Every number matches the fact base
PPTX
07

Founder handbook

The whole story: what sits behind each document, where every number comes from, the valuation logic, and the questions investors will ask, with answers.

Clear to a non-specialist reader
PDF
Valuation

Five methods, weighted by stage. A method without inputs is left out, never guessed.

You get one range and one weighted point, with the weight of every method and the reason anything was excluded.

Berkus · 30% Multiples · 15% Scorecard · 30% VC method · 25% Weighted EGP 59.1m
40m50m60m70m80m
ExcludedDiscounted cash flowless than 12 months of operating history
Who it's for

One fact base for both sides of the round

Three products on the same core: two packages for founders, and application screening for funds and hubs.

For founders

The AI package

A fixed price and delivery in days. Your full fundraising package, built on your own data.

For founders

AI plus a consultant

The same package with human review sessions, for founders who want to talk it through or get stuck on the model. Consultant time goes to judgement, not drafting.

For funds and hubs Phase two

Application screening

Share your thesis: sectors, stages, ticket size, geography, and the risks you won't take. Every application is analysed, scored, ranked and explained against it. The decision stays yours.

One intake cycle of 500 applications

Illustrative
Applications received500As submitted: decks, files and data
Analysed by the system500Every application, same criteria
Match the fund's thesis120Sector, stage, ticket size, geography
Ranked shortlist25With score, rationale, strengths and risks
On the partners' table8The final decision is always the investor's

Founders who prepare with Maestro reach investors with standardised, verified files, so investors read them faster and trust them more.

Your data

Your company's data stays your company's

Isolated by project

Each engagement runs in its own workspace, and every read, edit and approval is logged.

Models that don't train on you

Enterprise model APIs that never train on your data, chosen per task rather than per vendor.

Built for Egypt and Saudi Arabia

Designed around Egypt's Personal Data Protection Law No. 151 of 2020 and its executive regulations, and Saudi Arabia's PDPL.

Arabic first

Documents in Arabic and English, a currency per project, Egypt first with Saudi Arabia supported.

Walk into your next meeting with numbers you can defend

Start with a working session. Bring what you have, and we'll show you the gaps an investor would find first.