VM.PL Software House

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Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

50 - 249

Employees

2004

Year Founded

ABOUT VM.PL SOFTWARE HOUSE

Software Advisory & Engineering

VM Software is a team of over 140 skilled engineers providing AI-driven and mission-critical digital solutions for industry and tech-focused companies across Europe, particularly in the DACH region. For more than 19 years, we have assisted organizations in constructing production-ready systems, with a strong emphasis on artificial intelligence, automation, and advanced data solutions in areas such as Industrial & Manufacturing, Healthcare & MedTech, Logistics & Supply Chain, Automotive, Semiconductors, and FinTech. Our offerings today include: - **AI-powered industrial solutions:** Predictive maintenance systems, AI-driven support tools for service teams, computer vision for quality assurance, and intelligent knowledge systems (including secure on-premise RAG architectures). - **AI assistants & LLM-based applications:** Custom AI agents and enterprise assistants that enhance operations, service, internal knowledge management, and decision-making processes. - **Machine Learning & Advanced Analytics:** Mathematical modeling, anomaly detection, risk assessment systems, and optimization algorithms implemented in real production settings. - **Healthcare & regulated environments:** Secure data processing, AI-assisted workflows, and compliant architectures that meet ISO and industry standards. - **Digital modernization & scalable platforms:** Cloud-native systems, DevOps implementation, system re-engineering, and architectural transformation aimed at long-term scalability.

LANGUAGES SPOKEN

EnglishPolish

HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

50 - 249

Employees

2004

Year Founded

Services

Focus

Industries

Clients

Services Provided+2 Services

15% Custom AI Chatbot Development

25% Machine Learning Model Development

10% Robotic Process Automation (RPA)

10% Workflow Automation (Zapier / Make / n8n)

25% AI Agent & Multi-Agent System Development

15% Generative AI

40% Custom Web Application Development

15% Mobile App Development (iOS & Android)

About the Team

OUR STORY

Our company specializes in providing dedicated and experienced development teams tailored to your project’s specific needs. We prioritize flexibility, allowing you to scale your programmer count and duration as required, enhancing your project's capacity. Our nearshoring model emphasizes frequent on-site visits to foster better understanding and collaboration with your team and project architecture. We begin by comprehensively assessing your needs and carefully selecting team members with both technical and interpersonal skills over 2-4 months. Throughout the project, we maintain transparent workflows using tools like Jira and Git, ensure consistent communication via daily calls, and schedule regular visits to build strong relationships. We support long-term partnerships with a commitment to high code quality, project stability, and professional assistance from a dedicated

Portfolio

AI-Based Invoice Automation API

Investment Company

The client received thousands of invoices monthly from global vendors, presented in various languages, formats, and currencies. The differing layouts of these documents (e.g., variations in how line items and totals were presented) rendered automated data extraction unreliable. While OCR could read the text, accurately pulling specific data elements (like net/gross totals, taxes, or project numbers) often required manual input from accountants, particularly for invoices in Greek or Hungarian. It was also essential to allocate expenses accurately to the appropriate internal projects, as vendors frequently did not clearly specify project or contract numbers. Therefore, the client required a solution capable of fully automating the invoice processing—regardless of format or origin—and seamlessly integrating with their current Document Management System (DMS). They chose a customized proprietary Artificial Intelligence solution that combined OCR and NLP to meet their specific needs.

Saving €960K/Year with AI in Order Management

Manufacturer

The order processing department comprised 15 staff members whose primary responsibility was to manually input data from documents into the SAP system. The client faced several key challenges, including the need to fully eliminate manual data entry into SAP without altering client habits. Customers could still submit orders in various formats and languages. Step 1: Process Mapping and Identifying Pain Points We initiated the process by mapping out the actual flow of orders within the company, examining the channels, formats, and the order management team’s functions. Orders arrived via emails, PDFs, Excel spreadsheets, scans, and online forms, often in different languages and formats due to the company’s presence in over 110 countries. The main issue was not only the diversity of input sources but also the lack of standardization and the significant variability in the data provided. Step 2: Designing the Solution Architecture We developed a hybrid system that included: - An AI module powered by large language models to interpret contextual details from documents - A data extraction engine that managed OCR, table parsing, and field recognition - A data validator to ensure completeness, accuracy, and compliance with SAP - An SAP integration API to directly input structured data into the ERP system without human assistance Step 3: Model Fine-Tuning with Client Data We trained the model using actual client documents, adhering to data protection regulations, which enabled: - Recognition of product names and material codes - Matching of units, pricing, and contract specifics - Comprehension of multilingual order contexts Step 4: Implementation and Ongoing Optimization After deployment in the production environment, the system underwent continuous monitoring and optimization.

80% Automation in Healthcare Billing with AI & OCR

healthcare company

The main objective was to automate the separation and classification of multi-page paper and scanned documents. The solution had to effectively manage noise—such as irrelevant pages, rotated scans, and varying layouts—while maintaining high accuracy in detecting document boundaries and correctly categorizing them. Achieving this required sophisticated image and text processing along with a comprehensive understanding of the client's internal business processes. The project was carried out in multiple phases, which included data exploration, development of machine learning (ML) models, and business-specific logic tailored to the client's requirements. The solution implemented involved: 1. Developing models to identify document boundaries within page sequences, utilizing binary classification of page pairs to determine if adjacent pages belong to the same document, thereby enabling the automatic organization of pages into distinct document units. 2. Creating document classification models to direct documents into the correct categories, such as routing invoices to accounting and forms to billing, thus eliminating the need for manual sorting and reducing delays. 3. Fine-tuning transformer-based models—advanced AI algorithms that can interpret layout and text akin to human capability (Document AI). Training these models on client data significantly enhanced accuracy. 4. Designing post-processing rules to ensure that model outputs align with business expectations; for instance, a document missing a specific reference number might be flagged for review even if the model considered it valid. Additionally, the project included: exploratory data analysis (EDA) and assessment of data quality, filtering out pages with irrelevant noise, iterative development and testing of separation and classification models, and implementing an application that integrates these models into the client's operational systems. Collectively, these components create a versatile system that not only identifies and classifies documents but also supports subsequent processing.

8 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$10,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$10,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

“

"VM.PL Software House delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

MOST COMMON PROJECT SIZE

0 Reviews

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Select a service

Custom AI Chatbot Development

Machine Learning Model Development

Robotic Process Automation (RPA)

Workflow Automation (Zapier / Make / n8n)

AI Agent & Multi-Agent System Development

Generative AI

Custom Web Application Development

Mobile App Development (iOS & Android)

Legacy System Modernization

QA & Software Testing

Industry Recognitions

Forbes Diamonds 2023

View source

FT1000: Europe’s Fastest Growing Companies 2023

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Locations

Headquarters

Kosciuszki 82

Wroclaw, Poland 50-441

+48783783202

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