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MakePro

Documents → Structured Data → Action

Working MVP • Google Cloud Vision API • Polish Market

🚀 Applicant: Google for Startups Cloud Program

About Me (The Founder)

Founder of MakePro

Experienced IT Manager & Solutions Architect | Founder of MakePro

For over 25 years as an IT Manager at leading international companies, I was responsible for implementing and optimizing complex business systems. I witnessed firsthand how countless valuable hours are wasted on manually transcribing invoices, processing CVs, and handling documents.

I decided to leverage this deep understanding of business processes to build a solution myself. As a Solutions Architect, I am now applying my expertise in system integration and project management. Using a modern no-code approach and integrating powerful AI services from Google (like Vision API and Gemini), I have personally built the working prototype for MakePro.

My mission is to provide Polish SMEs with a simple, powerful tool that truly automates their work, allowing them to focus on growth.

View My LinkedIn Profile

Problems I Solve

Polish companies lose thousands of hours monthly on manual document processing. I'm changing that with AI.

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Invoices & Receipts

Accounting manually enters 100+ invoices monthly. Each takes 5-10 minutes. That's 15 hours of tedious work that AI can do in minutes.

description

Resumes & Applications

HR reviews hundreds of CVs, manually copying data to Excel. 30 seconds per CV × 200 applications = another wasted day.

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Orders & Contracts

Sales teams transcribe orders from emails and PDFs. Lawyers review contracts word by word. All can be automated.

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1. Upload

Drag & drop any document
(PDF, scan, photo, email)

→
psychology

2. AI Processes

Google Vision API extracts
and understands everything

→
table_view

3. Get Data

Excel, Google Sheets, API
Ready to use immediately

See the Prototype in Action

This isn't just an idea – it's a working Minimum Viable Product (MVP). Below is the actual automation flow I built, which intelligently processes any document. It demonstrates my no-code architecture and integration with Google Cloud AI.

Live Automation Workflow (Make.com + Google AI)

MakePro Automation Flow using Google Cloud Vision

zoom_in Click image to view in full resolution

1Secure Intake & Auth

The process starts when a user sends a file via Telegram. The system instantly checks a Google Sheets database to verify if that specific user has permission to upload.

2Google Cloud AI Analysis

The file is archived in **Google Drive**, and the core of the system – **Google Cloud Vision AI** – performs OCR, reading all text from the document (scan, PDF, or photo).

3AI Categorization

The text is fed to an AI model (OpenAI, migrating to Gemini) which generates a summary and **auto-categorizes** the document (e.g., 'Invoice', 'HR Contract'). All data is saved to a central Google Sheet, creating a "control center" for management.

4Intelligent Routing

Based on the AI category, the system looks up who should receive the file (e.g., 'Invoice' → 'accounting@company.com') and **automatically emails it** to the correct department, solving the "last-mile" problem.

My Technology

Working prototype now, full Google Cloud migration in 2026

build What I have now

  • Google Vision API (text extraction)
  • Make.com (automation)
  • GPT-4 (data understanding)
  • Google Sheets API (data storage)
  • → Working, tested on 1,500+ real documents
  • → 94% accuracy
  • → But expensive and limited

rocket Why I'm migrating

  • Gemini 1.5 replaces GPT-4
  • Document AI for better OCR
  • Cloud Functions replaces Make.com
  • Firestore replaces Sheets
  • Migration will give me:
  • → 70% lower costs
  • → 10× faster processing
  • → Unlimited scaling

Where I Am Now

Very early stage. I have a working prototype (MVP) that has successfully processed over 1,500 real documents with 94% accuracy. I am now looking for the first companies for beta testing.

1,500+
Documents processed
94%
Accuracy rate
10
Beta slots available
check_circle

Already Working

  • Vision AI text extraction
  • Document categorization
  • Google Drive integration
  • Email automation
  • Telegram interface
construction

In Development

  • Gemini API migration
  • Document AI integration
  • Stripe payments
  • Web app (React)
  • Data validation system
rocket_launch

Ready to Scale

  • Proven technology stack
  • Validated with real data
  • Clear migration path
  • Market demand identified
  • Architectural plan complete

Simple, Predictable Pricing

Month-to-month subscription. Cancel anytime. No setup fees.

info Note: I'm still precisely calculating costs after migration to Google Cloud. Final prices may change by ±20%. I'll be transparent about this.
Starter
149 PLN /month
  • check Up to 100 documents/month
  • check Basic document types
  • check Export to Excel/Sheets
  • check Email support
Most Popular
Professional
399 PLN /month
  • check Up to 500 documents/month
  • check All document types
  • check API access
  • check CRM integrations
  • check Priority support
Enterprise
Custom
  • check Unlimited documents
  • check Custom AI training
  • check Dedicated instance
  • check SLA guarantee
  • check On-site training
info Beta Discount: First 10 companies get 50% off for the first 6 months + free migration assistance.

Join the Beta Test

I'm looking for 10 brave Polish companies to test MakePro. If you're processing 100+ documents monthly and want to automate this with AI, I'd like to work with you.

I'll respond within 48h. Places limited to 10 people.

My Next Year Plan

From beta version to scalable platform thanks to Google for Startups support ($2,000 credits)

location_on Q4 2025 (Oct-Dec) - NOW
Beta Launch + First Payments
• Launch online payments (Stripe)
• Migration to Gemini API as main AI engine
• Document AI testing for Polish documents
• First Cloud Functions (replacing Make.com)
• Goal: 15 beta users, first paid accounts
• Google Cloud cost: ~$500 (Gemini API, Document AI, Cloud Functions)
flag Q1 2026 (Jan-Mar)
Technical Development + Growth
• Migration from Google Sheets to Firestore (real database)
• Complete backend on Cloud Functions (no fixed server costs)
• Data analysis system in BigQuery
• Cloud Storage for document archiving
• Goal: 30 active users, stable product
• Google Cloud cost: ~$600 (infrastructure expansion)
flag Q2 2026 (Apr-Jun)
Modern Web App + New Features
• React web application launch (replaces Drive interface)
• Firebase Authentication (secure login)
• More document types (contracts, CVs)
• Platform monitoring system
• Goal: 45 active users, full functionality
• Google Cloud cost: ~$450 (app hosting, authentication)
flag Q3 2026 (Jul-Sep)
Enterprise Ready + Qualification for More Support
• Multi-language support (English, German, Czech)
• Enterprise security features (corporate login, audit logs)
• Advanced Document AI capabilities
• BigQuery ML for trend prediction
• Goal: Platform ready to scale, stable user base
• Google Cloud cost: ~$450 (enterprise features)
• Milestone: Ready to apply for Scale Tier (more support)

Why I Need Google for Startups Support

I'm self-funded, no investors. Start Tier credits ($2,000) will allow me to:

check_circle Migrate from external AI to Gemini → 70% cost reduction

check_circle Deploy Document AI → Better recognition of Polish documents

check_circle Build serverless architecture → Cloud Functions + Firestore

check_circle Support 60+ companies → Without proportional infrastructure cost increase

check_circle Prove market demand → Qualify for Scale Tier next year

Total predicted Google Cloud cost for one year: ~$2,000
Perfect match for Start Tier credits.