Machine learning consulting services

Ready to bring ML into your business workflows? Innowise helps you design, build, and launch smart, data-driven solutions that boost growth, reduce risk, and deliver measurable impact fast.

40+

ML projects delivered

60+

in-house ML specialists

50+

experienced ML consultants

75%

senior & mid-level specialists

Ready to bring ML into your business workflows? Innowise helps you design, build, and launch smart, data-driven solutions that boost growth, reduce risk, and deliver measurable impact fast.

40+

ML projects delivered

60+

in-house ML specialists

50+

experienced ML consultants

75%

senior & mid-level specialists

Top business challenges solved with machine learning

Lack of ML expertise
Difficulty handling large data
Inefficient operations
Poor customer behavior predictions
Lost sales opportunities
Costly downtime
Scalability issues
Struggles with fraud detection
Lack of data-driven decision-making

Lack of ML expertise

Bring in specialists with real-world ML experience. We design and deploy scalable systems that accelerate delivery and reduce costly missteps.

Software engineer integrating ML-driven virtual avatars into enterprise systems for advanced user interaction

Difficulty handling large data

Implement robust data strategies, cleaning, and structuring to make your datasets ML-ready.

Business leader initiating secure cloud access for global connectivity and innovation

Inefficient operations

Streamline messy workflows with ML. Less manual work, faster results, and fewer fires for your team to put out.

AI engineer enhancing legacy code with an AI module, blending traditional programming with cognitive computing

Poor customer behavior predictions

Apply advanced analytics, sentiment analysis, and predictive modeling to anticipate customer needs and improve targeting.

Collaborative business meeting focused on visual reports and interactive data presentations

Lost sales opportunities

Deploy ML-driven personalization engines that deliver tailored offers and marketing strategies proven to boost conversion.

Trading floor specialists monitor interactive graphs, translating raw numbers into actionable market strategies

Costly downtime

Use predictive maintenance models that flag issues early, prevent failures, and schedule repairs automatically before downtime occurs.

Finance team tracks revenue growth with data-driven insights, using analytics to visualize profit trends

Scalability issues

Build ML systems that detect demand spikes, auto-allocate resources, and help you scale quickly without ballooning overhead.

Software engineer working on a digital product, focused on coding and monitoring data in a modern office

Struggles with fraud detection

Implement ML fraud detection to monitor, detect, and block fraudulent activity in real time.

Security analyst responds to a live system breach notification on a monitoring dashboard in a SOC environment

Lack of data-driven decision-making

Unlock ML-driven analytics and BI solutions that deliver clear, actionable insights for faster, smarter decisions.

Data analyst presenting business intelligence dashboard insights to IT team

Lack of ML expertise

Bring in specialists with real-world ML experience. We design and deploy scalable systems that accelerate delivery and reduce costly missteps.

Lack of ML expertise image

Difficulty handling large data

Implement robust data strategies, cleaning, and structuring to make your datasets ML-ready.

Difficulty handling large data image

Inefficient operations

Streamline messy workflows with ML. Less manual work, faster results, and fewer fires for your team to put out.

Inefficient operations image

Poor customer behavior predictions

Apply advanced analytics, sentiment analysis, and predictive modeling to anticipate customer needs and improve targeting.

Poor customer behavior predictions image

Lost sales opportunities

Deploy ML-driven personalization engines that deliver tailored offers and marketing strategies proven to boost conversion.

Lost sales opportunities image

Costly downtime

Use predictive maintenance models that flag issues early, prevent failures, and schedule repairs automatically before downtime occurs.

Costly downtime image

Scalability issues

Build ML systems that detect demand spikes, auto-allocate resources, and help you scale quickly without ballooning overhead.

Scalability issues image

Struggles with fraud detection

Implement ML fraud detection to monitor, detect, and block fraudulent activity in real time.

Struggles with fraud detection image

Lack of data-driven decision-making

Unlock ML-driven analytics and BI solutions that deliver clear, actionable insights for faster, smarter decisions.

Lack of data-driven decision-making image

Our 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 aligned with your business goals for measurable 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 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 it by handling system integration, setting up APIs and pipelines, and ensuring models run reliably, even at scale.

ML-powered process optimization consulting

Discover how to use ML to streamline workflows, minimize errors, and enable smarter decisions that translate directly into higher ROI.

Data analytics and business intelligence advisory

We provide expert guidance to help businesses refine their data strategies and integrate analytics tools, and automate ETL pipelines for 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.

Want to discuss your ML solution?

We cover all machine learning use cases

Automation & robotics

Predictive maintenance

Production process optimization

Data science & analytics

Networking & security

Operational intelligence

Featured machine learning projects

Philip Tikhanovich

Head of Big Data and AI

Machine learning is not just about predicting outcomes. It explains why things happen and prescribes what to do next. The real advantage does not lie in models themselves, but in how they reshape decision-making: fewer delays, tighter operations, and customer journeys that adapt in real time.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 Tikhanovich

Head of Big Data and AI

Why businesses trust Innowise for machine learning consulting

At Innowise, we combine deep AI expertise with practical business insight to deliver machine learning solutions that help keep your business ahead. From prototypes to enterprise-scale deployment, every project is tailored to your goals and resources.

Our proven approach to machine learning consulting services

Business analysis

We start by digging into your business goals and pain points, making sure the ML journey is delivering measurable value — not just models.

Technical design

Next, we design the blueprint: the right tools, the right architecture, and a setup that won’t just work today but will scale easily tomorrow.

Data preparation

Good models need good data. We clean, structure, and polish your datasets so they’re ready to power accurate and reliable predictions.

ML solution development

This is where ideas take shape — we build and train custom ML models that go beyond theory and deliver tangible results for your business.

Model integration & deployment

We integrate ML models into your existing workflows and systems, ensuring seamless adoption and immediate business impact.

Fine-tuning & optimization

No model is perfect out of the gate. We adjust, retrain, and refine until it consistently delivers the accuracy and stability you need.

Support & maintenance

We provide long-term monitoring, updates, and performance management so your ML solutions stay relevant, scalable, and competitive.

Industries we serve

Healthcare
Retail & e-commerce
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 professionals reviewing neurological MRI results on a multi-screen setup

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

Smart ecommerce platforms personalize shopping and secure payments, creating seamless online buying experiences

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

Telecom tower with smart sensors powers next-gen connectivity, enabling 5G and IoT networks

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
Better student engagement

Modern education blends traditional study with digital tools for tracking and enhancing student progress

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

Digital insurance platforms use AI for claims, policy management, and fast, secure customer service

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

Smart energy grids and IoT-enabled wind turbines power data-driven, sustainable energy management

Turn your data into solutions

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

Core technologies we work with

TensorFlow
Keras
PyTorch
MXNet
Nvidia Caffe
Chainer

Theano
OpenNN
Neuroph
Sonnet
Tensor
Tf-slim

R
Python

Supervised/unsupervised learning
Zero-shot learning
One-shot learning

Clustering
Few-shot learning
Metric learning

CNN
RNN
Variational autoencoders

Bayesian networks
Circom
Representation learning
Autoregressive networks

What our customers think

Tim Benedict CTO Vitreus

“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, blockchain, custom development

Ory Goldberg CEO Traxi

“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

“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

How do you integrate the ML solution with our legacy systems?

We integrate machine learning into legacy environments by building secure connection layers — APIs or middleware. That lets new models communicate with existing applications. Our team starts the process with a thorough system audit to identify dependencies and potential bottlenecks. From there, we design an integration strategy that preserves business continuity while introducing advanced ML functionality, so your daily operations remain stable during and after deployment.

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.

Do we need the infrastructure to train machine learning models?

Not always. If you already have computing resources in place, we can optimize and use them. Otherwise, cloud-based infrastructure offers flexible, cost-efficient training environments that scale up or down as needed.

What are the risks associated with ML consulting?

The biggest risks lie in poor data quality, unclear business objectives, and underestimating the complexity of integration. To mitigate these, we emphasize upfront discovery, rigorous data validation, and close alignment with measurable KPIs.

What kind of data is needed for a machine learning project?

The specific data depends on the problem you’re solving, but quality matters more than sheer volume. Structured records (transactions, customer profiles, sensor data) and unstructured assets (text, images, audio) can all be valuable if they’re accurate and representative. During the discovery phase, we help assess and prepare your data so it supports both model accuracy and long-term scalability.

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

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Once we’ve received and processed your request, we’ll get back to you to detail your project needs and sign an NDA to ensure confidentiality.

2

After examining your wants, needs, and expectations, our team will devise a project proposal with the scope of work, team size, time, and cost estimates.

3

We’ll arrange a meeting with you to discuss the offer and nail down the details.

4

Finally, we’ll sign a contract and start working on your project right away.

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