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Innowise is an international full-cycle software development company founded in 2007. We are a team of 2000+ IT professionals developing software for other professionals worldwide.
About us
Innowise is an international full-cycle software development company founded in 2007. We are a team of 2000+ IT professionals developing software for other professionals worldwide.

Machine learning consulting services

Ready to bring ML into your business workflows? We’re here to help you design, build, and launch smart, data-driven solutions that solve your business challenges.

40+

projects delivered

Ready to bring ML into your business workflows? We’re here to help you design, build, and launch smart, data-driven solutions that solve your business challenges.

40+

projects delivered

We’re proud partners of AWS, Azure, and Google Cloud, certified to deliver robust, efficient, and scalable cloud solutions. From POC development to securing funding for computational resources, Innowise provides expert consulting to help businesses implement and scale machine learning solutions effectively. With us, your infrastructure doesn’t just grow — it evolves to drive your success.

When businesses need machine learning consulting services

  • Lack of ML expertise
  • Difficulty handling large data
  • Inefficient operations
  • Poor customer behavior predictions
  • Lost sales
  • Costly downtime
  • Scalability issues
  • Struggles with fraud detection
  • Lack of data-driven decision-making
  • Challenging competition
  • ML integration issues
  • Poor data quality
  • Absence of an efficient infrastructure setup

Lack of ML expertise

Our team leverages their ML expertise to design implementation strategies tailored to your business needs.

Difficulty handling large data

We implement data management strategies, data cleaning, and structuring to prepare your data for effective ML application.

Inefficient operations

Our team uncovers inefficiencies in your processes and strategizes ML solutions to eliminate them.

Poor customer behavior predictions

Innowise experts utilize ML for advanced customer analytics, sentiment analysis, and predictive modeling to help you better understand your customers.

Lost sales

We consult on implementing ML-driven personalization engines to deliver tailored products, services, and marketing strategies to increase conversion.

Costly downtime

Our experts help to develop predictive maintenance models using ML to foresee and prevent equipment failures.

Scalability issues

We help you build scalable ML solutions that automate your key processes to help your business grow.

Struggles with fraud detection

Our experts provide advice on implementing ML-powered fraud detection systems to monitor, detect, and prevent fraudulent activities in real-time.

Lack of data-driven decision-making

We supercharge your organization with ML-driven analytics and business intelligence solutions for informed decision-making.

Challenging competition

We help you leverage advanced ML technologies to innovate and stay ahead of the market.

ML integration issues

Our team helps you smoothly integrate ML solutions into your existing IT setup, ensuring everything works together efficiently.

Poor data quality

We develop data acquisition, cleansing, and validation strategies to improve data quality.

Absence of an efficient infrastructure setup

We help you build smart, scalable ML infrastructure that ensures smooth and optimal performance at all times.

Lack of ML expertise

Our team leverages their ML expertise to design implementation strategies tailored to your business needs. Functional testing

Difficulty handling large data

We implement data management strategies, data cleaning, and structuring to prepare your data for effective ML application. Regression testing

Inefficient operations

Our team uncovers inefficiencies in your processes and strategizes ML solutions to eliminate them. Security testing

Poor customer behavior predictions

Innowise experts utilize ML for advanced customer analytics, sentiment analysis, and predictive modeling to help you better understand your customers. Performance testing

Lost sales

We consult on implementing ML-driven personalization engines to deliver tailored products, services, and marketing strategies to increase conversion. Compliance testing

Costly downtime

Our experts help to develop predictive maintenance models using ML to foresee and prevent equipment failures. User acceptance testing

Scalability issues

We help you build scalable ML solutions that automate your key processes to help your business grow. eCommerce automation testing

Struggles with fraud detection

Our experts provide advice on implementing ML-powered fraud detection systems to monitor, detect, and prevent fraudulent activities in real-time. API testing

Lack of data-driven decision-making

We supercharge your organization with ML-driven analytics and business intelligence solutions for informed decision-making. Data validation testing

Challenging competition

We help you leverage advanced ML technologies to innovate and stay ahead of the market. Integration testing

ML integration issues

Our team helps you smoothly integrate ML solutions into your existing IT setup, ensuring everything works together efficiently. Integration testing

Poor data quality

We develop data acquisition, cleansing, and validation strategies to improve data quality. Integration testing

Absence of an efficient infrastructure setup

We help you build smart, scalable ML infrastructure that ensures smooth and optimal performance at all times. Integration testing

How AI and ML are useful for business

407

Market and competitor analysis

With AI in your corner, you can keep a close eye on your market and competitors. It tracks trends and analyzes what your market landscape is. This lets you react faster, adapt quicker, and always stay one step ahead of the game.

418

Customer analysis

What if you could instantly understand what your customers want, even before they do? AI digs into customer behavior, identifying preferences and sentiments. This lets you personalize interactions and refine your offerings.

448

Sales forecasting

Picture a world where predicting your sales is no longer a guessing game. With AI, you get accurate forecasts based on customer behavior, trends, and market data. It’s like having a crystal ball for smarter decision-making.

444

Recommendation system

AI and ML don’t just suggest products; they predict what your customers will love based on their past behavior. By analyzing browsing and purchasing data, it offers personalized recommendations — improving the customer experience.

452

Language modelling

AI isn’t just about crunching numbers. With AI-powered language modeling, businesses can streamline tasks like personalized email drafting, customer feedback analysis, and even automated content creation.

453

Technical support

AI-powered support is here to help, 24/7. Smart chatbots handle routine issues fast, so your customers get instant support without the wait. Plus, your team can focus on trickier problems, keeping everything running smoothly.

Turn your data into solutions

From forecasting to root-cause analysis, we solve your toughest challenges with machine learning.

Get comprehensive machine learning consulting services

  • ML strategy and roadmap development

We work with you to define a clear ML vision and design an actionable, step-by-step roadmap to align every stage with your business goals for impactful results.

  • Data strategy and management

Think of us as your data architects — we’ll help you organize, clean, and structure your data to make sure it’s ready to support your smart and efficient ML solutions.

  • ML readiness assessment

We’ll take a close look at your systems and processes, identifying what’s working and what needs tweaking to prepare you for successful ML integration.

  • ML integration and deployment advisory

Navigating ML adoption can be complex, but we simplify every step of the process by guiding you through integration and large-scale deployment.

  • ML-powered process optimization consulting

We analyze operational workflows to pinpoint bottlenecks — and optimize processes with predictive analytics and real-time monitoring.

  • Data analytics and business intelligence advisory

We provide expert guidance to help businesses refine their data strategies — integrating analytics tools and automating ETL pipelines to ensure smarter decision-making.

  • ML infrastructure implementation consulting

With MLOps, we design, implement, and optimize robust IT environments for deploying ML solutions models at scale — ensuring reliability and peak performance.
  • AI innovation and research consulting

With our AI expertise, we help businesses discover new applications for AI or make their current systems even better, from building POCs to validating MVPs for smarter, efficient solutions.
  • AI-powered CX enhancement advisory

Want to wow your customers? We’ll help you roll out AI tools like virtual assistants, personalized shopping experiences, or sentiment analysis for real-time feedback.

AI and ML solutions we specialize in

  • ML and AI
  • Automation and robotics
  • Data science and analysis
  • Gaming and virtual environments
  • Specialized software
  • Networking and security

Machine learning and artificial intelligence

  • AI and ML solutions
  • Large language models
  • Generative Al solutions
  • Natural language understanding engines
  • Recommendation systems
  • Computer vision solutions
Machine learning and artificial intelligence

Automation and robotics

  • AI-driven automation software
  • RPA software
Automation and robotics

Data science and analysis

  • Data analysis tools
  • Trading algorithms
  • Big data solutions
  • Scientific models
  • Predictive analytics
Data science and analysis

Gaming and virtual environments

  • AI-based bots for virtual environments
  • VR/AR applications
  • Enhanced object recognition and gesture recognition
Gaming and virtual environments

Specialized software

  • IoT software
  • Industry-specific solutions
Gaming and virtual environments

Networking and security

  • Security systems
  • Fraud detection and prevention systems
Gaming and virtual environments
ML and AI Automation and robotics Data science and analysis Gaming and virtual environments Specialized software Networking and security
Machine learning and artificial intelligence
  • AI and ML solutions
  • Large language models
  • Generative Al solutions
  • Natural language understanding engines
  • Recommendation systems
  • Computer vision solutions

Machine learning and artificial intelligence

  • AI and ML solutions
  • Large language models
  • Generative Al solutions
  • Natural language understanding engines
  • Recommendation systems
  • Computer vision solutions
Complex system integration

Automation and robotics

  • AI-driven automation software
  • RPA software

Data science and analysis

  • Data analysis tools
  • Trading algorithms
  • Big data solutions
  • Scientific models
  • Predictive analytics

Gaming and virtual environments

  • AI-based bots for virtual environments
  • VR/AR applications
  • Enhanced object recognition and gesture recognition

Specialized software

  • IoT software
  • Industry-specific solutions

Networking and security

  • Security systems
  • Fraud detection and prevention systems
Philip Tihonovich
Head of the Big Data

Machine learning is a transformative force shaping the future of industries. As businesses increasingly rely on data, ML enables them to make smarter decisions, streamline operations, and deliver highly personalized experiences at scale. It isn’t just an investment in technology — it’s an investment in a company’s ability to adapt, compete, and lead in the age of intelligent systems.

Philip Tihonovich
Head of the Big Data

Artificial Intelligence tech stack

AI frameworks and libraries
  • TensorFlow
  • Keras
  • PyTorch
  • MXNet
  • Nvidia Caffe
  • Chainer
  • Theano
  • OpenNN
  • Neuroph
  • Sonnet
  • Tensor
  • Tf-slim
Programming languages
  • R
  • Python
  • Java
  • C++
Algorithms
  • Supervised/unsupervised learning
  • Clustering
  • Metric learning
  • Zero-shot learning
  • One-shot learning
  • Few-shot learning
Neural networks
  • CNN
  • RNN
  • Representation learning
  • Manifold learning
  • Variational autoencoders
  • Bayesian networks
  • Autoregressive networks

Choose Innowise as an ML consulting company

At Innowise, we merge cutting-edge AI technology with deep business expertise to deliver impactful machine learning solutions.
  • Expertise

Our 60+ ML experts are the pros at transforming that knowledge into practical, real-world solutions that deliver meaningful results for your business.
  • Industry-specific compliance

We know the ins and outs of industries like healthcare, retail, finance, and manufacturing, and we’ll make sure your solution checks every compliance box for a successful launch.
  • Guaranteed quality and security

With ISO 9001 and ISO 27001 certifications, we guarantee robust quality controls, data encryption, secure access protocols, and regular security audits for your peace of mind.
  • KPIs-based service delivery

We don’t just build ML solutions — we build ones that align with your KPIs, so you know they’re delivering real value.

Want to discuss your ML solution?

Industries we serve

  • Healthcare
  • Retail & eCommerce
  • Telecommunications
  • Education
  • Insurance
  • Energy & utilities

Healthcare

Machine learning is shaking up healthcare in a big way — think of sharper diagnostic tools, personalized treatment plans, faster breakthroughs in drug discovery, better patient risk predictions, and automated admin tasks.

  • Enhanced diagnostic precision
  • Tailored treatment plans
  • Faster drug discovery and development
Healthcare

Retail & eCommerce

AI in retail? It’s a no-brainer. We help businesses make spot-on product recommendations, manage inventory smarter, detect fraud early on, and set up dynamic pricing that adapts in real time. Plus, your customers get a seamless shopping experience everywhere.

  • Better sales and loyal customers
  • No more overstock or shortages
  • Smooth shopping across all platforms
Education

Telecommunications

Telecom companies can unlock the potential of ML for network optimization, predictive maintenance, fraud prevention, and deploying next-gen network infrastructure.

  • Enhanced network performance and reliability
  • Increased customer retention
  • Advanced network capabilities
Retail

Education

Machine learning paves the way for personalized learning journeys, effortless grading and assessments, and 24/7 student support via AI-powered chatbots. It’s like having an extra teacher in the classroom, but digital.

  • Tailored learning experiences
  • Less administrative tasks
  • Improved effectiveness
eCommerce

Insurance

AI is transforming the insurance game — elevating fraud detection, refining risk modeling, and accelerating underwriting processes with the precision of machine learning.

  • More accurate risk assessment
  • Streamlined claims processing
  • Proactive risk management
Finance

Energy & utilities

With ML on our side, we’re making energy use smarter. Our solutions help you lower energy consumption, keep the grid running perfectly, and support the shift to green energy via forecasting and smart meter analysis.

  • Increased operational efficiency
  • Better grid reliability and resilience
  • Accelerated transition to renewable energy
Banking
Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo. Nestle logo. Novartis logo. Spotify logo.
Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo. Nestle logo. Novartis logo. Spotify logo.
Aramco logo Mercedes logo. Costco Wholesale logo. Shell logo. Accenture logo. NVIDIA logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Aramco logo Mercedes logo. Costco Wholesale logo. Shell logo. Accenture logo. NVIDIA logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo.
Google logo. Hays logo. PayPal logo. Siemens logo. Nike logo. Volkswagen logo. LVMH logo.
Nestle logo. Novartis logo. Spotify logo. Aramco logo. Mercedes logo. Costco Wholesale logo.
Nestle logo. Novartis logo. Spotify logo. Aramco logo. Mercedes logo. Costco Wholesale logo.
Shell logo. Accenture logo. NVIDIA logo. Mastercard logo. CVS Health logo. The Walt Disney logo.
Shell logo. Accenture logo. NVIDIA logo. Mastercard logo. CVS Health logo. The Walt Disney logo.

Our approach to machine learning consulting services

Our approach is designed to bring clarity, efficiency, and measurable results to every stage of your ML journey.

  • Risk-proof project scoping

We begin by carefully defining the project roadmap and continue to assess the feasibility of any changes to prevent scope creep for our clients.

  • Realistic cost estimation

Rest assured, we evaluate the upcoming project from various angles to consider all potential risks and accurately forecast its costs.

  • Focus on user experience

By applying user-centric design principles, we build highly intuitive, visually engaging user interfaces that are easy to adopt and navigate.

  • Collaborative environment

Transparency and teamwork are at the heart of our process. We foster open communication among all stakeholders to ensure smooth execution.

  • High quality

We make sure every step of development comes with quality checks to keep your project on track and free of any unexpected hiccups.

  • Top security

We implement a multi-layered security approach to defend your software and data against all potential risks, threats, and vulnerabilities.

  • Centralized project knowledge

Forget scattered project notes and missing info. Our centralized documentation keeps teams on the same page and every detail in check.

  • KPI measurement

We help you set simple, measurable KPIs for your ML project, making it easy to track progress and hit your goals every step of the way.

Struggling with scaling your ML projects? Let our experts handle it.
Hire ML experts
Struggling with scaling your ML projects? Let our experts handle it. Hire ML experts

What our customers think

Tim Benedict CTO Vitreus
company's logo

“Innowise has successfully delivered the client's MVP, marking the project's success. The team has offered excellent project management, as they're highly efficient and always deliver on time. Overall, their passion and depth of expertise are outstanding.”

  • Industry Business services
  • Team size 30 specialists
  • Duration 15 months
  • Services Architectural design, custom development, blockchain
Ory Goldberg CEO Traxi
company's logo

“I'm very satisfied with their high-quality work and ability to deliver exactly what I want through a very professional approach. Their flexible and available process is key to the ongoing project's success.”

  • Industry Software
  • Team size 10 specialists
  • Duration 24+ months
  • Services Mobile development, web development
Davide Criscione Founder & CEO DC Services GmbH
company's logo

“Innowise has found high-quality resources that fit well within their assigned internal teams. They had the resources ready to start in a short period. The team offers responsive and personable project management. Moreover, they're proactive and don't overpromise.”

  • Industry IT Services
  • Team size 12 specialists
  • Duration 15+ months
  • Services Staff augmentation

FAQ

Who needs machine learning consulting services?
Machine learning consulting isn’t limited to large enterprises — it’s valuable for businesses of all sizes. ML consulting is beneficial to all data-intensive businesses regardless of size or the industry, as it helps optimize decision-making and modernize operations.
How long does an ML consulting project typically take?
ML consulting projects can span a few months to over a year, depending on factors like complexity, team readiness, and goals. Simple tasks, such as creating predictive models, might wrap up in 1–3 months, while advanced systems often take 6–12+ months, requiring thorough data prep and rigorous model testing.
What are the risks associated with ML consulting?
ML consulting comes with its challenges. Common issues include vague project goals, low-quality or limited data. There’s also the risk of model bias, data security concerns, high costs, and the need for skilled experts. Clear planning, open communication, and strong teamwork can help tackle these risks and drive success.
What kind of data is needed for a machine learning project?
Successful ML projects depend on high-quality, domain-relevant data that aligns with the problem. This data can come in various forms, including text, images, numbers, and audio. To ensure robust model performance, the dataset must be diverse enough to mitigate issues like data bias or overfitting.

Feel free to book a call and get all the answers you need.

Contact us!

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    Why Innowise?

    2000+

    IT professionals

    93%

    recurring customers

    18+

    years of expertise

    1300+

    successful projects

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