Desenvolvimento de aprendizagem automática

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%

programadores de nível médio e sénior

40+

completed machine learning projects

40+

AI/ML engineers

75%

programadores de nível médio e sénior

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

Inteligência artificial

Desenvolvimento de redes neuronais

Aprendizagem profunda

Big data & predictive analytics

Computer vision

Reconhecimento de voz

Análise de sentimentos

Processamento de linguagem natural

Automação robótica de processos (RPA)

Inteligência artificial

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.

Desenvolvimento de redes neuronais

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.

Aprendizagem profunda

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.

Computer vision

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

Reconhecimento de voz

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

Análise de sentimentos

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.

Processamento de linguagem natural

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.

Automação robótica de processos (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.

Inteligência artificial

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.

Desenvolvimento de redes neuronais

Aprendizagem profunda

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.

Computer vision

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

Reconhecimento de voz

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

Análise de sentimentos

Processamento de linguagem natural

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.

Automação robótica de processos (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

Finanças
Cuidados de saúde
Retail & E-Commerce
Fabricação
Energia e serviços públicos
Telecomunicações

Finanças

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
Deteção de fraudes em tempo real
Intelligent market forecasting

Cuidados de saúde

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

Retalho & Comércio eletrónico

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

Fabricação

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

Energia e serviços públicos

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

Telecomunicações

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

Soluções de aprendizagem automática que criamos

Manutenção preventiva

Detecção de fraudes

Previsão da procura

Preços dinâmicos

Virtual assistants & real-time chatbots

Marketing automation solutions

Análise do comportamento do cliente

Document, image & video processing

Sistemas de recomendação inteligentes

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Philip Tihonovich

Chefe do Departamento de Grandes Dados

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

Chefe do Departamento de Grandes Dados

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.

Análise dos requisitos

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.

Engenharia de recursos

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.

Desenvolvimento de modelos

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

Implantação do modelo

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.

Afinação de modelos

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

Manutenção dos seus algoritmos de ML por profissionais

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.

Plataformas com que trabalhamos

Vértice IA
IA de conversação da Google

Google AI para documentos
IA da Google para sectores de actividade

Serviços Cognitivos Azure
Aprendizagem automática do Azure

Serviços de Bot do Azure
Serviços de IA Aplicada do Azure

Amazon SageMaker
Amazon Transcribe & Polly

Amazon Comprehend
Amazon Rekognition

Escolha o seu modelo de preços

Preço fixo

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.

Tempo e materiais com um limite

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.

O que pensam os nossos clientes

Tim Benedito CTO Vitreus

"A Innowise entregou com sucesso o MVP do cliente, marcando o sucesso do projeto. A equipa ofereceu uma excelente gestão de projectos, uma vez que são altamente eficientes e cumprem sempre os prazos. De um modo geral, a sua paixão e profundidade de conhecimentos são notáveis."

Indústria Serviços às empresas
Dimensão da equipa 30 especialistas
Duração 15 meses
Serviços Conceção arquitetónica, cadeia de blocos, desenvolvimento personalizado

Ory Goldberg CEO Traxi

"Estou muito satisfeito com o seu trabalho de alta qualidade e com a sua capacidade de fornecer exatamente o que pretendo através de uma abordagem muito profissional. O seu processo flexível e disponível é fundamental para o sucesso do projeto em curso."

Indústria Software
Dimensão da equipa 10 especialistas
Duração Mais de 24 meses
Serviços Desenvolvimento móvel, desenvolvimento web

Davide Criscione Fundador e Director Executivo DC Services GmbH

"A Innowise encontrou recursos de alta qualidade que se enquadram bem nas equipas internas designadas. Tinham os recursos prontos para começar num curto espaço de tempo. A equipa oferece uma gestão de projectos ágil e personalizada. Além disso, são proactivos e não prometem demasiado."

Indústria Serviços informáticos
Dimensão da equipa 12 especialistas
Duração Mais de 15 meses
Serviços Aumento do pessoal

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.

Em que é que a aprendizagem automática difere da inteligência artificial?

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.

A aprendizagem automática aplicar-se-á ao meu 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.

Não hesite em marcar uma chamada e obter todas as respostas de que necessita.

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?

Em que é que a aprendizagem automática difere da inteligência artificial?

A aprendizagem automática aplicar-se-á ao meu sector?