Rozwój uczenia maszynowego

Innowise delivers more than algorithms — we bring a fundamental shift in how you operate. From automating routine tasks to enhancing customer experiences and predicting market trends, we build ML systems that grow with your business, eliminate inefficiencies, and unlock new revenue streams.

40+

completed machine learning projects

40+

AI/ML engineers

75%

mid & senior-level developers

40+

completed machine learning projects

40+

AI/ML engineers

75%

mid & senior-level developers

Transform your business with expert ML development services

Extract actionable insights

Convert complex datasets into strategic advantages. Whether analyzing customer behavior or product usage metrics, our ML solutions transform raw data into actionable intelligence that drives decision-making and uncovers hidden opportunities.

Upgrade customer experience

Deliver exceptional service through intelligent automation. Our ML systems predict customer needs, enable hyper-personalized interactions, and power sophisticated conversational AI – resulting in higher satisfaction rates, reduced response times, and increased loyalty.

Fortify security defenses

Stay ahead of evolving threats with proactive protection. Our ML security solutions detect anomalies in real-time, identify emerging attack patterns, and preemptively address vulnerabilities before they can be exploited, creating a robust security ecosystem.

Scale with confidence

Expand without limitations. Our enterprise-grade ML infrastructure adapts seamlessly to new markets and fluctuating demands, learning from fresh data inputs while maintaining performance across diverse environments.

Automate with intelligence

Free your talent for strategic work. Our ML automation solutions handle routine operations with precision, orchestrating complex workflows behind the scenes while your team focuses on innovation and high-value initiatives.

Increase sales

Convert leads faster with data-driven targeting. Our ML algorithms identify high-intent prospects, personalize offers in real-time, and optimize pricing strategies — helping you close more deals and maximize revenue.

Our featured machine learning development services

Sztuczna inteligencja (AI)

Rozwój sieci neuronowych

Uczenie głębokie

Big data & predictive analytics

Wizja komputerowa

Rozpoznawanie mowy

Analiza nastrojów

Przetwarzanie języka naturalnego (NLP)

Zrobotyzowana automatyzacja procesów (RPA)

Sztuczna inteligencja (AI)

We craft AI solutions that think, learn, and adapt — helping businesses automate decisions, personalize experiences, and unlock entirely new ways to create value for your business.

Rozwój sieci neuronowych

Our engineers develop advanced neural networks using architectures like CNNs, RNNs, and transformers — tested in real-world scenarios like fraud detection, medical diagnostics, and industrial monitoring.

Uczenie głębokie

We develop deep learning models for image, video, text, and voice — helping you extract value from messy, unstructured data with cutting-edge accuracy and performance.

Big data & predictive analytics

We take your overwhelming volumes of data and turn them into clear, confident forecasts. That way, you're not just reacting — you're making smart moves in high-pressure situations.

Wizja komputerowa

From real-time defect detection to complex image recognition, we engineer systems that turn raw visual input into real-time decisions.

Rozpoznawanie mowy

We build systems that convert speech into text your software can understand — accurately, in real time, even in noisy settings or with specialized terms.

Analiza nastrojów

Understanding words is one thing, but understanding emotions is another. Our sentiment analysis models tune into what people really mean, giving you the edge to adapt products, services, and messaging on the fly.

Przetwarzanie języka naturalnego (NLP)

When your systems need to work with language, not just numbers, we use NLP models to help them read, understand, and generate text that makes sense in real business scenarios.

Zrobotyzowana automatyzacja procesów (RPA)

We roll out RPA that clears out repetitive work — plugging into your systems, taking over the boring bits, and letting your teams focus on what really moves the needle.

Sztuczna inteligencja (AI)

We craft AI solutions that think, learn, and adapt — helping businesses automate decisions, personalize experiences, and unlock entirely new ways to create value for your business.

Rozwój sieci neuronowych

Uczenie głębokie

We develop deep learning models for image, video, text, and voice — helping you extract value from messy, unstructured data with cutting-edge accuracy and performance.

Big data & predictive analytics

We take your overwhelming volumes of data and turn them into clear, confident forecasts. That way, you're not just reacting — you're making smart moves in high-pressure situations.

Wizja komputerowa

From real-time defect detection to complex image recognition, we engineer systems that turn raw visual input into real-time decisions.

Rozpoznawanie mowy

We build systems that convert speech into text your software can understand — accurately, in real time, even in noisy settings or with specialized terms.

Analiza nastrojów

Przetwarzanie języka naturalnego (NLP)

When your systems need to work with language, not just numbers, we use NLP models to help them read, understand, and generate text that makes sense in real business scenarios.

Zrobotyzowana automatyzacja procesów (RPA)

We roll out RPA that clears out repetitive work — plugging into your systems, taking over the boring bits, and letting your teams focus on what really moves the needle.

Drowning in messy data with no clear direction?

Let ML turn that chaos into clarity.

Our work in machine learning development

Industries our ML development services transform

Finanse
Opieka zdrowotna
Retail & E-Commerce
Przemysł
Energetyka i gospodarka komunalna
Telekomunikacja

Finanse

Machine learning is flipping finance from reactive to predictive. We help companies outsmart risks, sniff out fraud before it surfaces, and read market moves before the competition even blinks.

Predictive risk management
Wykrywanie oszustw w czasie rzeczywistym
Intelligent market forecasting

Opieka zdrowotna

Machine learning is transforming healthcare from the inside out — driving sharper diagnostics, truly personalized treatments, faster drug discoveries, smarter risk prediction, and freeing up medical teams from routine admin work.

Early disease detection
Personalized treatment strategies
Accelerated drug discovery

Handel detaliczny & Handel elektroniczny

In retail, AI isn't a trend — it's the new baseline. We help businesses predict what customers want, adjust inventory on the fly, catch fraud before it costs you, and keep prices in sync with real-world demand.

Predictive customer insights
Smart inventory management
Frictionless shopping experiences

Przemysł

In manufacturing, machine learning is the quiet force reshaping the factory floor. It optimizes production flows in real time, inspects products for defects on the line, and forecasts supply chain disruptions before they cause delays.

Reduced unplanned downtime
Higher product quality
Faster, more efficient production cycles

Energetyka i gospodarka komunalna

With ML, the energy sector isn't just getting greener — it's getting smarter as well. Our models forecast demand swings, spot grid vulnerabilities before they spark outages, and help utilities shift to renewables faster without missing a beat.

Early detection of grid failures
Reduced energy waste and costs
Faster response to equipment malfunctions

Telekomunikacja

As machine learning takes hold, networks can now predict traffic spikes before they hit, reroute bandwidth on the fly, spot fraud before it drains revenue, and fix issues before customers even know there's a problem.

Reduced downtime and service disruptions
Stronger resilience against unexpected network loads
Lower operational and maintenance costs

Rozwiązania z zakresu uczenia maszynowego, które tworzymy

Utrzymanie predykcyjne

Wykrywanie oszustw

Prognoza popytu

Dynamiczne ustalanie cen

Virtual assistants & real-time chatbots

Marketing automation solutions

Analiza zachowań klientów

Document, image & video processing

Inteligentne systemy rekomendacyjne

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Philip Tihonovich

Kierownik Działu Big Data

As noted in PluralSight’s AI Skill Report, 97% of companies deploying AI technologies report gains in productivity, service quality, and accuracy. Now, it’s clear: machine learning has shifted from a nice-to-have to a business-critical engine. It’s no longer about building models that look good in a lab — it’s about setting up living, breathing systems that learn, adapt, and drive real results where it matters most.

Philip Tihonovich

Kierownik Działu Big Data

Our approach to machine learning development

At Innowise, we combine deep expertise in data science, MLOps, and model architecture design to build solutions that are not only accurate but also scalable, interpretable, and resilient in production.

Analiza wymagań

We start by translating business challenges into ML objectives. Clear goals upfront lead to models that actually deliver measurable impact.

Data preparation & processing

Before any model sees the light of day, we dig into the data — cleaning, structuring, and transforming it into a form that a machine can truly learn from.

Inżynieria funkcji

We transform cleaned data into smart inputs — choosing the right features, encoding categories, scaling numbers, and removing noise so the model can focus on real patterns.

Tworzenie modeli

We train models using the right algorithms, tune parameters, and validate performance to build solutions that work in real-world conditions.

Wdrożenie modelu

Once the model is trained and validated, we prepare it for real-world use. This includes setting up APIs or batch processing pipelines, integrating the model with your existing systems, and more.

Strojenie modelu

Performance isn't a one-and-done deal. We monitor, fine-tune, retrain, and adapt models over time to keep them sharp.

Utrzymuj swoje algorytmy ML dzięki profesjonalistom

With 40+ expert ML engineers and 40+ successful projects, we help businesses turn data into real growth. From smarter decision-making to faster operations, our models are built to solve real-world challenges, boost efficiency, and open new revenue streams.

Platformy, z którymi współpracujemy

Vertex AI
Google Conversational AI

Google AI dla dokumentów
Sztuczna inteligencja Google dla branż

Azure Usługi poznawcze
Azure Uczenie maszynowe

Azure Bot Services
Azure Usługi w zakresie sztucznej inteligencji

Amazon SageMaker
Amazon Transcribe & Polly

Amazon Comprehend
Amazon Rekognition

Wybierz odpowiedni dla Ciebie plan cenowy

Cena ustalona z góry

If you already have a clear idea of what you need, a fixed price is the simplest way forward. You’ll lock in the budget and deadlines upfront, so you can stay focused without worrying about unexpected costs.

Czas i materiały

If you’re still shaping the project or expect things to change along the way, the time and material model gives you the flexibility to adjust. You’ll pay for the work as it happens, which is perfect for ML projects.

Tired of one-size-fits-all software?

We create ML solutions built around your business needs.

Opinie naszych klientów

Tim Benedict Dyrektor ds. technologii Vitreus

"Innowise z sukcesem dostarczyło klientowi MVP, co jest dowodem na sukces projektu. Zespół wykazał się świetnymi umiejętnościami z zakresu zarządzania projektem. Działają bardzo efektywnie i realizują wszystkie prace w wyznaczonych terminach. Ogólnie rzecz biorąc, wyróżnia ich pasja i rozległa wiedza."

Branża Usługi biznesowe
Wielkość zespołu 30 specjalistów
Czas trwania projektu 15 miesięcy
Usługi Projektowanie architektoniczne, blockchain, rozwój niestandardowy

Ory Goldberg Dyrektor Generalny Traxi

"Jestem bardzo zadowolony z ich wysokiej jakości pracy i zdolności do dostarczania dokładnie tego, czego chcę, dzięki bardzo profesjonalnemu podejściu. Ich elastyczny i dostępny proces jest kluczem do sukcesu trwającego projektu".

Branża Oprogramowanie
Wielkość zespołu 10 specjalistów
Czas trwania projektu 24+ miesięce
Usługi Tworzenie aplikacji mobilnej i strony internetowej

Davide Criscione Założyciel i Dyrektor Generalny DC Services GmbH

"Innowise zapewniło nam najwyższej jakości zasoby, które zostały doskonale wykorzystane przez ich zespoły. Uruchomili zasoby w ekspresowym tempie. Zespół oferuje responsywne i przyjazne zarządzanie projektami. Należy także wspomnieć o ich gotowości do działania i nie składaniu obietnic, których nie są w stanie spełnić."

Branża Usługi IT
Wielkość zespołu 12 specjalistów
Czas trwania projektu 15+ miesięcy
Usługi Powiększenie zespołu

FAQ

How much does machine learning app development cost?

Budgets typically fall between $40K–$200K. Costs depend on data preprocessing, model architecture (e.g., regression, CNNs, transformers), infrastructure (cloud/on-prem), and integration scope.

How long does it take to build a machine learning model?

There’s no one-size-fits-all answer — simple models with clean data can be built in a few weeks, but real-world projects usually stretch over several months. A lot of time gets spent not on building the model itself, but on wrangling messy data, crafting meaningful features, tuning hyperparameters, and stress-testing the model across different scenarios.

How does Innowise address potential biases in ML models?

We start by checking the data, looking for imbalances or patterns that could cause bias later. When we fine-tune models, we sometimes adjust the data weights or use special techniques like adversarial debiasing to help the model treat different groups more fairly. We also use explainability tools like SHAP to understand why the model makes certain predictions. After launch, we keep monitoring the model to catch any new biases early.

Czym różni się uczenie maszynowe od sztucznej inteligencji?

Machine learning is just one part of AI. ML focuses on learning from data—finding patterns, making predictions. AI, more broadly, includes rule-based logic, NLP, and even robotics. In most business cases today, when people say “AI,” they mean ML.

Czy uczenie maszynowe znajdzie zastosowanie w mojej branży?

If your business generates data, ML is applicable. From predictive maintenance in manufacturing to risk scoring in finance or personalization in eCommerce, ML translates raw data into models that optimize processes, reduce costs, and improve CX.

Umów się z nami na rozmowę i poznaj odpowiedzi na wszelkie nurtujące Cię pytania.

FAQ

How much does machine learning app development cost?

Budgets typically fall between $40K–$200K. Costs depend on data preprocessing, model architecture (e.g., regression, CNNs, transformers), infrastructure (cloud/on-prem), and integration scope.

How long does it take to build a machine learning model?

How does Innowise address potential biases in ML models?

Czym różni się uczenie maszynowe od sztucznej inteligencji?

Czy uczenie maszynowe znajdzie zastosowanie w mojej branży?