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How can AI help you grow your business?
Artificial intelligence (AI) solves various industry problems, offering innovative solutions to complex challenges.
- Increase revenue
AI helps you analyze social media, automate ads, and make smart sales choices. - Ensure data security
Machine learning detects fraud, such as credit card scams and identity theft. It saves companies money and protects customers. - Analyze large amounts of data
Machine learning algorithms analyze data to predict trends. They help companies make decisions about product development and sales. - Improve process productivity
Machine learning automates processes, saving time and costs. It predicts machine failures and recommends maintenance, avoiding downtime. - Improve customer satisfaction
Predictive analytics finds customer trends and suggests products. AI chatbots speed up resolutions. - Optimize supply chains
AI optimizes supply chains by predicting demand and managing inventory in real-time.
Our artificial intelligence (AI) capabilities
We provide consulting services and AI solutions to accelerate your business goals and enable sustainable growth.
Natural Language Processing
NLP solutions enable machines to understand and generate human-like language. Our NLP applications include chatbots, language translation, text content analysis, and sentiment analysis.
IoT and device automation
We innovate for companies through the use of IoT (Internet-Of-Things) in Industry 4.0 and the application of digital systems based on artificial intelligence.
Computer Vision
We help implement and integrate computer vision-based algorithms to train AI solutions and automate tasks such as voice recognition, image processing, object detection, and more – the way human visual systems can.
Predictive Analytics / Data Science
Utilizing Artificial intelligence, predictive analytics analyzes historical data to identify trends and make informed predictions about future performance. This capability is valuable for finance, healthcare, and manufacturing industries.
Generative AI
We use Generative AI systems to develop mathematical models and create different types of content, such as text, images, audio and synthetic data.
Chatbots
We understand the business need to offer dedicated 24/7 support, so we build chatbots based on artificial intelligence and integrate them into the client’s software – be it websites, mobile apps, etc.
Implemented projects in
/ Projects we are proud of
80% Increase in Detecting Suspicious Claims with ML Algorithms
Industry:
Fintech Technologies:
Python, R, Docker Description:
Learn how we built ML models that would make it easier to check a high percentage of scams in the insurance industry.
Model:
Team Outsourcing Duration:
4 months 
Utilizing Machine Learning (ML) in the Optimization of Energy Use
Industry:
Energy Technologies:
Python Description:
For the client, a UK–based company providing solutions to optimize energy consumption, we designed a solution capable of building predictive models tailored to each institutional client.
ML in Automating the Risk Assessment Process in the Financial Industry
Industry:
Fintech Technologies:
R, Python, Docker Description:
For a client dealing with the financial security of companies in the transportation industry, we built a machine learning model for assessing the reliability of end customers.
Model:
Team Outsourcing Duration:
5 months 
Virtual Fitting Room of Clothes in Online Stores
Industry:
E-commerce Description:
For an innovative technology start-up, we developed a virtual fitting room for customers who want to try on clothes before buying and delivering.
Model:
Team Outsourcing Duration:
18 months 
DL Model to Limit Customer Loss for One of the Largest Banks in Europe
Industry:
Fintech Technologies:
FastText, Keras, DyNET, Python Description:
For the client, which is one of the five largest banks in Europe, we built a deep learning model to predict customer churn.
Model:
Team Outsourcing AI Development Process – an iterative approach
When developing a machine learning model, we go through many phases, from data collection and preparation to data training, evaluation and continuous iteration.
This is a unique approach that sets us apart from other companies, as we repeat the following cycle several times until satisfactory results are achieved.
We do it all in close collaboration with your team. Not only do we create AI models, but we also provide implementation training to help you better understand the solution used and not waste time understanding the model.
I — Free consultation
The first step to understanding your problem is a free consultation in which we first discuss your challenge and determine whether the implementation of an AI model would be effective and possible.
II — Workshop
The second step is to conduct workshops online or on-site at the customer’s premises. They usually last 1–2 days.
OBJECTIVE: Define your needs and AI strategy
In the workshop, we will understand exactly what your issue is, what data you have, how this concern affects the functioning of the application or the company or how to measure the results of the AI model you have implemented. We will answer the question of when this model is satisfactory.
Only after the workshop can we say whether it is worth pursuing the project or not – and then comes the second offer.
III Project — Feasibility study (POC)
The third step is the implementation of the PoC. And here we can differentiate between elements such as:
1. Define your AI needs and strategy
We will work with you to analyze project requirements and identify specific problems or tasks that AI can address. Our approach involves clearly defining goals and success criteria.
2. Data acquisition and preparation
During this stage, we help collect relevant data from various sources, organize it, and prepare it for use as training data.
3. Model development
We choose the right model for the issue and train it using a training dataset, identifying the most relevant variables.
4. Evaluation and refinement of the model
We evaluate the performance of a trained model using a separate data set (test/validation set) that it has not seen before. Typical evaluation metrics include accuracy, precision, and score.
What will you get working with us?
01
Interactive PoC for your AI software.
02
Data-driven predictions that instill confidence in high return on investment.
03
In-depth understanding of methodologies to avoid common mistakes and maximize the data.
04
Consulting and advising on alternative business opportunities, architecture, and technology.
05
Choosing the right approach for your needs: reducing implementation and maintenance costs by combining classical statistical methods with AI / ML / DL
What are the risks of not applying AI correctly?
01
85% of AI projects will produce flawed results due to biases in the data, algorithms, or the teams responsible for managing them.
02
Only 53% of projects go from prototypes to production.
03
Only 15% of AI projects will be successful.
How will VM.PL help you overcome these challenges?
- 95% of our AI projects are successful – achieving the set goals, on time and within budget
- The remaining 5%, we put a quick and reliable diagnosis possible for missed targets to avoid unnecessary costs
- 85% of projects go into production
Technologies we use in AI solutions
Meet our Artificial Intelligence Experts
Artur Suchwałko
PhD
During his 20+ years of professional experience in the field of advanced analytics, Arthur earned a doctorate in mathematics and successfully carried out more than 100 projects for companies at various stages of development-from startups to global corporations.
Agnieszka Suchwałko
PhD
She is a doctor of technical sciences (biocybernetics and biomedical engineering) involved in many interesting AI projects. Solving real problems with the help of well-chosen or appropriately modified ML algorithms is both her job and passion.
Rafał Pisz
Managing director and shareholder at many IT companies (DATAS, AXIT, TIM S.A). Since 1999, he has specialized in IT management and research and development centers. Rafał also created the AXIT R&D center, which released the first SaaS solution for supply chain management.
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