Data science as a service

Got tough business challenges or a slow decision — making setup? Our data scientists have got your back. Whether it’s data analysis, visualizations or ML models, we help you make smarter moves, boost processes, and keep your customers hooked.

40+

successfully completed DSaaS projects

40+

successfully completed DSaaS projects

When businesses might need data science as a service

Growing data

Don’t let growing data become a bottleneck. Let our team handle the heavy lifting with tech like Apache Spark and Hadoop, setting up scalable pipelines to clean and merge your data from different sources. Plus, we’ll build interactive dashboards with tools like Tableau and Power BI so you can see your data clearly and make smart decisions without the hassle.

Growing needs

Setting up an in — house data science team can be pricey — and tricky. With data science as a service, you’ll get top-tier experts on-demand for tasks like predictive modeling or customer segmentation. Scale up or down easily without the headache of hiring, and still get great results while keeping costs down.

Growing confusion

AI and data science can be overwhelming, but we’re here to help. With our workshops and training, your team will gain skills to navigate this tech. We start with proof-of-concept projects to find the best AI opportunities for you. Once the value is proven, we develop and deploy ML models that fit your needs perfectly. We’ll also keep a sharp eye on things and make tweaks as needed to keep everything running smoothly.

Our data science as a service capabilities

We’ve got all your data science needs covered. Whether you’re looking to build smart models, tap into the latest tools, or set up solid systems, our team is here to support you every step of the way — making sure your data initiatives hit the mark.

Data tools development and integration

Analytics tools development and integration

Recommendation systems development

Chatbot development

Computer vision development

Fraud detection development

AutoML integration

Data preparation and merging

Visualization development

Feature engineering

Model development

Model deployment and integration

Data tools development and integration

With tools like Hadoop, Spark, and Talend, we build custom data pipelines and ETL processes to easily extract, transform, and load data from different sources, so everything works just the way you need it.

Analytics tools development and integration

Our experts create interactive dashboards and reports with tools like Tableau, Power BI, and custom setups. Our goal? To turn your raw data into clear insights that you can understand and use with ease.

Recommendation systems development

By blending collaborative filtering, content-based, and hybrid approaches, our team creates highly accurate models that help you boost sales, improve customer retention, and tap into new markets.

Chatbot development

Want to boost your customer service? We’ve got you covered with chatbots that deliver instant support, handle inquiries fast, and increase satisfaction – all with human-like chats powered by NLP and ML.

Computer vision development

Struggling to make sense of your visual data? Whether you’re in security, retail, or healthcare, our custom smart CV solutions turn your visual data into clear, useful insights, helping you get the most out of it.

Fraud detection development

Our team of experts develops and implements AI-powered fraud detection systems that catch fraud before it even happens – keeping your business safe from risks and financial losses.

AutoML integration

We bring AutoML solutions to the table to help you easily generate high-quality models, get spot-on predictions, and test out different business scenarios across your company.

Data preparation and merging

Our team handles all the data prep for you – from cleansing and normalizing to merging data from different sources – so your models get only reliable data for the most accurate predictions.

Visualization development

Looking to make sense of your data? We use cutting-edge tools and tech to build dynamic visualizations to help you spot trends, see patterns, and make smart decisions based on solid data.

Feature engineering

Our data scientists blend their know-how with techniques like scaling, one-hot encoding, and transformation to create features that make ML-models more accurate and better at predicting outcomes.

Model development

With a mix of ML and deep learning algorithms, our data science experts build rock-solid, scalable models that fit your business perfectly, giving you the confidence to make smart decisions.

Model deployment and integration

We’ll get your ML models up and running smoothly within your existing setup, integrating them into your business processes – all without the need to revamp your entire infrastructure.

Data tools development and integration

Analytics tools development and integration

Recommendation systems development

By blending collaborative filtering, content-based, and hybrid approaches, our team creates highly accurate models that help you boost sales, improve customer retention, and tap into new markets.

Chatbot development

Computer vision development

Fraud detection development

Our team of experts develops and implements AI-powered fraud detection systems that catch fraud before it even happens – keeping your business safe from risks and financial losses.

AutoML integration

We bring AutoML solutions to the table to help you easily generate high-quality models, get spot-on predictions, and test out different business scenarios across your company.

Data preparation and merging

Our team handles all the data prep for you – from cleansing and normalizing to merging data from different sources – so your models get only reliable data for the most accurate predictions.

Visualization development

Looking to make sense of your data? We use cutting-edge tools and tech to build dynamic visualizations to help you spot trends, see patterns, and make smart decisions based on solid data.

Feature engineering

Our data scientists blend their know-how with techniques like scaling, one-hot encoding, and transformation to create features that make ML-models more accurate and better at predicting outcomes.

Model development

With a mix of ML and deep learning algorithms, our data science experts build rock-solid, scalable models that fit your business perfectly, giving you the confidence to make smart decisions.

Model deployment and integration

We’ll get your ML models up and running smoothly within your existing setup, integrating them into your business processes – all without the need to revamp your entire infrastructure.

Make smarter moves with your data

We’re here to help you turn your data into better decisions and crush your goals.

Data scientists as a service vs in-house data scientists

Factor

DSaaS Model

In-house Data Scientists

Cost efficiency

Just pay for what you need – cutting down on the extra costs like benefits, office space, and equipment.

Be ready for any upfront and ongoing costs – whether it’s for hiring, perks, and training.

Access to expertise

Tap into a wide pool of specialists with diverse skills and industry experience.

Rely on the expertise of your team – but you might miss out on certain necessary skill sets.

Scalability and flexibility

Scale your resources up or down as needed, without any long-term commitments.

Scaling up means more hiring or restructuring, which can get slow and pricey.

Faster delivery

Get your projects moving quicker with our expert team and tried-and-tested processes.

You might hit some delays as new hires settle in and a smaller team handles the work.

Focus on core business

We’ll handle the data science work so your team can stay laser-focused on strategic goals.

Your internal team might be spread too thin, pulling attention away from core business priorities.

Expert guidance

Get strategic insights and best practices from experts who’ve worked on all kinds of projects across different industries.

Count on your team’s know-how, but their experience might be more limited to what they’ve faced in-house.

Data is an invaluable asset, but its true value lies in the insights we dig out of it. At Innowise, we don’t just process raw data; we convert it into hands-on analytics and business forecasts. That way, you can keep up with market trends, make smarter decisions, streamline your processes, and see a real bump in metrics like sales and conversion rates.

Roman Sen

Head of the AI Department

Industries we serve

We’re not just data scientists – we’re experts who really get the unique challenges your business deals with. By combining strong tech skills with our solid understanding of the ins and outs of different industries, our T-shaped team crafts solutions that fit your specific needs perfectly.

Healthcare
Finance
Retail
Manufacturing
Telecommunications
Energy and utilities
Automotive
Insurance
Logistics and transportation

Healthcare

Give your healthcare strategy a boost with predictive modeling, ML, and NLP. You’ll streamline care delivery, make the most of your resources, and cut risks – all while slashing costs and leveling up patient care.

Improved patient care
Streamlined operational processes
Cost reduction and resource optimization

Finance

With ML in your corner, our data scientists have you covered with solutions that keep getting smarter with every transaction. This way, fraud detection, forecasting, and customer insights become sharper and more reliable as you go.

Improved risk management
Robust fraud detection
Personalized client experiences

Retail

Supercharge your sales, keep your inventory on point, and give your customers that personalized touch – all thanks to smart data science solutions crafted to fit your business perfectly.

Boosted sales
Optimized stock levels
Personalized shopping experiences

Manufacturing

Make the most of AI to handle data, ease your team’s workload, and keep quality sharp. You can also check how cost-effective your machines are and plan repairs with predictive maintenance to avoid any surprises.

Maximized production efficiency
Predictive maintenance and reduced downtime
Superior product quality

Telecommunications

Dealing with customer churn and network headaches? We’ll take care of it. With data-driven strategies, our experts help you reduce churn and deliver better service, making sure everything works like a charm.

Reduced customer churn
Refined network efficiency
Improved customer services

Energy and utilities

We’re all about helping energy providers run their grids smoother, predict demand better, and keep their assets performing at their best. The result? A more sustainable and efficient energy distribution.

Efficient resource use
Accurate demand forecasting
Better sustainability efforts

Automotive

With data science on your side, you'll be able to design smarter cars, make your manufacturing process smoother, and build advanced driver-assistance systems that take safety to a whole new level.

Innovative vehicle design
Streamlined production processes
Improved customer engagement and satisfaction

Insurance

By using predictive models, you can quickly zero in on risks, keep fraud in check, and tweak your pricing for better outcomes – making everything run smoother and keeping your customers loyal.

Precise risk assessments
Strong fraud prevention
Effective customer targeting

Logistics and transportation

Dealing with pricey deliveries and slow times? Smart analytics can help you sort out your routes, make fleet management more efficient, and smooth out your supply chain, saving you money and speeding up deliveries.

Optimized logistics routes
Cost-efficient operations
Improved delivery performance

Case studies

Struggling to make sense of your data?

Don’t let those insights slip away. Trust us to turn raw data into clear, actionable strategies that drive growth.

Our data science as a service approach

As a top-tier data science as a service provider, we keep things running without a hitch and make sure you’re always in the know. Whether it’s crunching numbers, managing the whole project, or handling tough data integrations, we’ve got you covered.

Collaboration

We’re big on keeping things clear and open from the start. You’ll get regular updates and a heads-up on any bumps along the way. No surprises – just straightforward communication to keep you in the loop.

Knowledge management

Our team of experts bake knowledge management right into our process to keep things efficient and inspire fresh ideas. By gathering all the key insights, we make sure they directly fuel your project’s success.

Reporting

No more guessing games. Whether it’s quick updates or a deep dive into the details, we make sure you’re always in the know, so you’re never left guessing about what’s happening with your project.

Project scoping

We know how crucial it is to get everyone on the same page from the get-go. Our team starts by understanding your needs and laying out the project scope, so we avoid any confusion and keep everything rolling smoothly.

Risk management

With our T-shaped team on your side, you can keep things moving steadily and stress-free. They’re all about spotting potential hiccups early on and getting rid of them fast, so your project stays on course without a hitch.

Project documentation

Here at Innowise, our team put together clear and easy-to-follow documentation at every stage of the project. We keep things simple and throw in real-life examples so your team can easily find and use what they need.

Need help getting your data to really pay off? Let us connect you with top data science experts who’ll keep things on track and make sure you get the results you’re looking for.

Hire experts now

17+

years of tech expertise

70,000+

specialists in our talent pipeline

17+

years of tech expertise

17+

years of tech expertise

offices worldwide

70,000+

specialists in our talent pipeline

offices worldwide

93%

recurring customers

93%

recurring customers

93%

recurring customers

93%

recurring customers

70,000+

specialists in our talent pipeline

Need help getting your data to really pay off? Let us connect you with top data science experts who’ll keep things on track and make sure you get the results you’re looking for. Hire experts now

17+

years of tech expertise

offices worldwide

93%

recurring customers

70,000+

specialists in our talent pipeline

17+

years of tech expertise

offices worldwide

93%

recurring customers

70,000+

specialists in our talent pipeline

17+

years of tech expertise

offices worldwide

93%

recurring customers

70,000+

specialists in our talent pipeline

Choose your pricing model

Fixed price

Go with the fixed price option with clear goals and specs. You’ll get a set cost and timeline, making it easy to budget and stay on track.

Time and material

Opt for the time and material for flexibility. You'll pay for actual hours and resources, which works great for adapting to changing data or needs.

Our partnerships and awards

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Securing code quality for successful project delivery

Code rules and guidelines

Our experts stick to solid guidelines to keep our data science as a service projects on point. We make sure our code is dependable, runs smoothly, and is easy to maintain and scale as you need it.

Code documentation

With our easy-to-follow documentation, you’ll breeze through every stage of development. We’ll support you and help grow your project, with everything clearly laid out to keep everyone on the same page.

Code review practices

Our experts keep our code in top shape with ad-hoc reviews, cross-checks, and regular audits. Thanks to our ongoing review process, we guarantee solutions stay reliable and efficient.

Detailed planning

We carefully plan out every milestone – making sure we’ve got all the business and tech details covered. This helps us keep risks in check and deliver solutions on time and at a high standard.

Rigorous testing

Before we roll out any solutions, we give them a good test drive – functional, performance, and stress tests – to guarantee they run smoothly and meet your expectations in any given scenario.

Continuous maintenance

Even after we’ve set up your models and solutions, we keep them sharp with regular updates. This way, we keep everything on track and in sync with your changing business needs.

Choosing Innowise as a DSaaS company

When you pick Innowise for your DSaaS needs, you’re getting a team that’s got the know — how to turn data headaches into real business wins. We’ve been at this for years – crafting custom solutions that actually work. Our data science experts stay on top of the latest tech, so your projects always get the best tools to keep your business ahead of the game and ready for whatever’s next.

Our implementation roadmap

With our tried-and-tested approach, we make adopting DSaaS a breeze. Our experts dive into your business needs and handle everything – from data prep to performance checks – to ensure you get meaningful, lasting results.

Objective and scope definition

Identify business goals
Determine project scope
Engage stakeholders

Data readiness assessment

Inventory existing data
Integrate data sources
Evaluate data quality

DSaaS provider selection

Evaluate potential providers
Request detailed proposals
Select the provider

Detailed planning

Create project plan
Manage risks
Allocate resources

Data preparation and setup

Collect necessary data
Clean and transform data
Set up infrastructure

Model development and testing

Build data models
Conduct iterative testing
Evaluate performance

Implementation and integration

Deploy models
Integrate systems
Provide training support

Monitoring and optimization

Continuously monitor
Establish feedback loops
Optimize performance

Review and reporting

Conduct implementation review
Generate reports
Provide strategic recommendations

Objective and scope definition

Identify business goals
Determine project scope
Engage stakeholders

Data readiness assessment

Inventory existing data
Integrate data sources
Evaluate data quality

DSaaS provider selection

Evaluate potential providers
Request detailed proposals
Select the provider

Detailed planning

Create project plan
Manage risks
Allocate resources

Data preparation and setup

Collect necessary data
Clean and transform data
Set up infrastructure

Model development and testing

Build data models
Conduct iterative testing
Evaluate performance

Implementation and integration

Deploy models
Integrate systems
Provide training support

Monitoring and optimization

Continuously monitor
Establish feedback loops
Optimize performance

Review and reporting

Conduct implementation review
Generate reports
Provide strategic recommendations

Core technologies we work with

Apache Hadoop
Apache Spark
ETL Tools

Python
R
Scikit-learn

SciPy
Pandas

Apache Kafka
MongoDB

Cassandra
HBase

AWS
GCP
Microsoft Azure

Tableau
Power BI
D3.js

Matplotlib
Seaborn

Keras
PyTorch
TensorFlow
MXNet
Chainer

Theano
Transformers
bitsandbytes
OpenNN

MySQL
PostgreSQL
Microsoft SQL

Snowflake
Amazon Redshift

Docker
Kubernetes

Jenkins
GitLab CI/CD

What our customers think

Laurynas Savickas CEO Intervilza JSC

“Working with Innowise, I appreciate their customer-centric approach and care for even the smallest detail. Our company received exactly what we'd been looking for and managed to save a considerable part of our budget for other activities. ”

Industry IT services
Team size 3 specialists
Duration 3 months
Services IT outsourcing, custom development, 3D design

Andreas Huber Company Owner INDI Solutions & Consulting

“We are pleased to recommend Innowise as a reliable IT outsourcing partner and highly appreciate their attention to detail and professionalism.”

Industry IT service provider
Team size 1 specialist
Duration 1 months
Services IT staff augmentation

Benjamin Reif Founder & CEO Sawayo

“Innowise constantly found efficient solutions to the challenges. The resources were very helpful and communicative, and they demonstrated impressive determination and eagerness to solve problems.”

Industry Software
Team size 9 specialists
Duration 24 months
Services Custom software development, IT staff augmentation

FAQ

How secure is my data with a DSaaS provider?

With Innowise, you can rest assured knowing your data is in good hands. We follow strict security standards like GDPR and ISO 27001 and use advanced encryption and strong access controls. We also regularly run regular security checks to keep your data safe and sound.

What are the benefits of using DSaaS?

Thanks to DSaaS, you can get valuable insights quickly without having to set up an in-house team. This way, you can speed up projects, slash costs, and bring the latest data analysis tech into play.

What are the common pricing models for DSaaS?

You might pay a regular subscription fee, a set amount per project, or based on how much data you use. Some providers offer hybrid models, with a base fee plus extra charges depending on your needs.

What are the potential challenges with DSaaS?

With DSaaS, you might face a few bumps. First, it can be tough to get it to work smoothly with your existing systems. Data security is another concern since you’re relying on an external provider. Plus, customizing it to fit your specific needs might be harder than you’d expect.

How long does it take to see results from DSaaS?

It depends on the complexity of the project and the amount of data you’re dealing with. For simpler tasks, you might see some results in just a few weeks. For more complex projects, it could take a few months to get the full picture.

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

Schedule a call

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Why Innowise?

1800+

IT professionals

93%

recurring customers

17+

years of expertise

1100+

successful projects

Data science as a service

When businesses might need data science as a service

Growing data

Growing needs

Growing confusion

Our data science as a service capabilities

Data tools development and integration

Analytics tools development and integration

Recommendation systems development

Chatbot development

Computer vision development

Fraud detection development

AutoML integration

Data preparation and merging

Visualization development

Feature engineering

Model development

Model deployment and integration

Data scientists as a service vs in-house data scientists

Industries we serve

Healthcare

Finance

Retail

Manufacturing

Telecommunications

Energy and utilities

Automotive

Insurance

Logistics and transportation

Case studies

Our data science as a service approach

Collaboration

Knowledge management

Reporting

Project scoping

Risk management

Project documentation

Choose your pricing model

Fixed price

Time and material

Our partnerships and awards

Securing code quality for successful project delivery

Code rules and guidelines

Code documentation

Code review practices

Detailed planning

Rigorous testing

Continuous maintenance

Choosing Innowise as a DSaaS company

Our implementation roadmap

Core technologies we work with

What our customers think

FAQ

Contact us!

Let●s develop software together!

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