Ontwikkeling van machinaal leren

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%

ontwikkelaars op midden- en senior niveau

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%

ontwikkelaars op midden- en senior niveau

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

Kunstmatige intelligentie

Ontwikkeling van neurale netwerken

Diep leren

Big data & predictive analytics

Computer vision

Speech recognition

Sentimentanalyse

Natuurlijke taalverwerking

Robotisering van processen (RPA)

Kunstmatige intelligentie

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.

Kunstmatige intelligentie

Ontwikkeling van neurale netwerken

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.

Ontwikkeling van neurale netwerken

Diep leren

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.

Big data & predictive analytics

Computer vision

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

Computer vision

Speech recognition

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

Speech recognition

Sentimentanalyse

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.

Sentimentanalyse

Natuurlijke taalverwerking

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.

Natuurlijke taalverwerking

Robotisering van processen (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.

Robotisering van processen (RPA)

Kunstmatige intelligentie

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.

Kunstmatige intelligentie

Ontwikkeling van neurale netwerken

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.

Ontwikkeling van neurale netwerken

Diep leren

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.

Big data & predictive analytics

Computer vision

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

Computer vision

Speech recognition

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

Speech recognition

Sentimentanalyse

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.

Sentimentanalyse

Natuurlijke taalverwerking

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.

Natuurlijke taalverwerking

Robotisering van processen (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.

Robotisering van processen (RPA)

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

Financien
Gezondheidszorg
Retail & E-Commerce
Productie
Energie & Nutsbedrijven
Telecommunicatie

Financien

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
Fraudedetectie in realtime
Intelligent market forecasting

Gezondheidszorg

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

Gezondheidszorg

Detailhandel & E-commerce

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

Retail & E-Commerce

Productie

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
Hogere productkwaliteit
Faster, more efficient production cycles

Energie & Nutsbedrijven

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

Energie & Nutsbedrijven

Telecommunicatie

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

Telecommunicatie

Machine learning oplossingen die we bouwen

Voorspellend onderhoud

Opsporing van fraude

Voorspelling van de vraag

Dynamische prijsstelling

Virtual assistants & real-time chatbots

Oplossingen voor marketingautomatisering

Analyse van klantgedrag

Document, image & video processing

Slimme aanbevelingssystemen

Alles tonen Toon minder

Philip Tikhanovich

Hoofd afdeling 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 Tikhanovich

Hoofd afdeling 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.

Analyse van de behoeften

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.

Feature engineering

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.

Modelontwikkeling

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

Model inzet

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.

Modelafstemming

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

Laat uw ML-algoritmen onderhouden door professionals

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.

Platforms waar we mee werken

Vertex AI
Google Conversational AI

Google AI voor documenten
Google AI voor industrieën

Azure Сognitieve Diensten
Azure Machine Learning

Azure Bot Diensten
Azure Applied AI Diensten

Amazon SageMaker
Amazon Transcribe & Polly

Amazon Comprehend
Amazon Rekognition

Kies uw prijsmodel

Vaste prijs

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.

Tijd & materialen met een cap

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.

Wat onze klanten vinden

Tim Benedict CTO Vitreus

"Innowise heeft met succes de MVP van de klant opgeleverd en markeert daarmee het succes van het project. Het team biedt uitstekend projectmanagement, ze zijn zeer efficiënt en leveren altijd op tijd. Over het geheel genomen zijn hun passie en diepgaande expertise uitstekend."

Industrie Zakelijke diensten
Grootte van het team 30 specialisten
Duur 15 maanden
Diensten Architectonisch ontwerp, blockchain, ontwikkeling op maat

Ory Goldberg CEO Traxi

"Ik ben zeer tevreden over hun werk van hoge kwaliteit en hun vermogen om precies te leveren wat ik wil door middel van een zeer professionele aanpak. Hun flexibele en beschikbare proces is de sleutel tot het succes van het lopende project."

Industrie Software
Grootte van het team 10 specialisten
Duur 24+ maanden
Diensten Mobiele ontwikkeling, webontwikkeling

Davide Criscione Oprichter en CEO DC Services GmbH

"Innowise heeft kwalitatief hoogwaardige resources gevonden die goed passen binnen de aan hen toegewezen interne teams. Ze hadden de resources in korte tijd startklaar. Het team biedt responsief en persoonlijk projectmanagement. Bovendien zijn ze proactief en beloven ze niet te veel."

Industrie IT-diensten
Grootte van het team 12 specialisten
Duur 15+ maanden
Diensten Personeelsuitbreiding

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.

Wat is het verschil tussen machine learning en kunstmatige intelligentie?

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.

Is machine learning van toepassing op mijn sector?

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.

Maak gerust een afspraak om alle antwoorden te krijgen die je nodig hebt.

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Waarom Innowise?

2000+

IT-professionals

93%

terugkerende klanten

18+

jarenlange expertise

1300+

succesvolle projecten

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