Request a Call

Processing...

  • Hidden

AI Services That Cover Your Diverse Needs

  • Build AI solutions that simply work and scale

  • Seamlessly increase AI development capabilities

  • Provide research and consulting to adopt AI

We take care of all aspects of the product lifecycle—from the requirements stage all the way to launch of a working AI solution and maintenance. Our team of AI experts has deep domain expertise across various industries and can deliver tailored solutions that meet your unique business needs.

If you’re in the middle of developing artificial intelligence solutions, we can seamlessly extend your in-house capabilities by bringing our expertise to accelerate your engineering, increase business processes efficiency and speed up time-to-market.

Our top-notch data scientists bring profound knowledge and technical know-how to deeply investigate your project ideas, prove feasibility, and integrate AI solutions into your business environment. We deliver flexible AI engineering and machine learning consulting services, depending on your current artificial intelligence initiatives, business challenges, and desirable timeline.

Build AI Solutions that Deliver Business Value

AI solutions generate additional value for products, speed up operations, increase efficiency, and highlight data insights that bring game-changing advantages.

  • Create a competitive advantage for clients

    There are a lot of similar-looking digital products with common functionality that try to stand out with fancy wrappers and bigger marketing budgets. Applying AI solutions to an existing technology product creates a tangible difference for end users, refines relevance, increases engagement, improves retention and lifetime value (LTV), and ultimately grows the bottom line. At the end of the day, satisfied and recurring customers are those who actually promote your brand.

  • Accelerate internal operations

    The vast majority of industries employ outdated legacy systems in internal operations. Automating even the smallest parts of the workflow results in significantly increased processing speed, expands capacity, and ultimately decreases the cost per transaction. Artificial intelligence solutions are designed to supplement people in areas where human involvement becomes a bottle-neck, like detecting traffic violations during rush hour in a big city.

  • Enable intelligent data-driven decisions

    Humans are unable to analyze dozens of data sources in milliseconds and instantly produce a balanced decision; we need more time. Moreover, sometimes human biases impact our performance and lead to ingenuous mistakes. Artificial intelligence solutions can be a helpful tool or an autonomous system that highlights critical insights and produces smart decisions instantly, increasing overall business efficiency.

  • Make generated data work for you

    Today we collect and store more data than ever—some is well-organized and valuable, other is useless without human input. Employing AI solutions to work with huge amounts of diverse historical data creates a foundation for intelligent forecasting and optimization. Unlike traditional statistical methods, artificial intelligence processes have many more dependencies and provide more accurate predictions, allowing more flexibility and rapid adaptation to complex market conditions.

Artificial Intelligence Solutions

From machine learning (ML) and natural language processing (NLP) to computer vision and robotic process automation, we leverage AI technologies to augment your possibilities, and reach your ultimate business goals.

01/

Machine Learning

Design, build, and manage software solutions that learn from data and examples. Machine learning allows the creation of programs that bring desirable outcomes, without having to find out exactly how to achieve it. By extracting insights from data sets, artificial intelligence solutions utilize ML algorithms to unveil broad opportunities for automation, efficiency increase, precision improvement, and error minimization. ML solutions are able to solve six basic tasks:

  • Segmentation
  • Recommendation engine
  • Classification
  • Anomaly detection
  • Prediction and probability
  • Ranking
02/

Natural Language Processing

NLP technology enables interaction, understanding, and communication between computers and human language. AI solutions employ natural language processing to recognize unobvious trends and extract valuable business insights from large amounts of unstructured content, like text, audio, and video. This unveils broad opportunities for intelligent automation and increases the value of content. NLP models tackle following five jobs:

  • Dialog systems
  • Words conversion
  • Sequence prediction
  • Text classification
  • Sentiment analysis
03/

Computer Vision

Computer vision technology enables computers to “see” and comprehend the visual world. Artificial intelligence solutions with computer vision features accurately recognize objects, detect events, and distinguish behaviors in digital video or images. Computer vision works beyond human eye capabilities; the amount of incoming visual data exceeds human perception and reaction speed. Most common scenarios of use are:

  • Object detection
  • Face recognition
  • Object tracking
  • Image classification
  • Visual captioning
  • Image reconstruction
04/

Robotic Process Automation

Robotic process automation (RPA) software captures data, triggers substantial events, and interacts with other systems to perform tasks for humans. With RPA, organizations automate repetitive business processes, accelerate internal operations, and offload employees for more higher-impact work. By adopting robotic process automation in your business, you enhance processes, reduce staffing costs, and accelerate digital transformation. RPA-based solutions can help with:

  • Call center operations
  • Data processing
  • Claims management
  • Onboarding employees
  • Sales processes support

AI Solutions For Industries

  • Artificial intelligence solutions help streamline and optimize processes varying from credit decisions to financial risk management and claims processing. Through AI-enabled bots, chatbots and advanced data analytic tools, we can help you automate business processes, enhance workflow, and increase profitability due to more accurate consumer pricing and reduced false claims.

    Use cases of AI in finance and the insurance are:

    • Financial forecasting
    • Risk management
    • Fraud detection
    • Credit scoring
    • Automated repair cost estimation
    • Smart advisors and personalized wealth management
    • Automated applications processing
  • NIX develops AI solutions that help reduce paperwork, boost clinical performance, and increase diagnostics accuracy while ensuring high-level data protection. ML algorithms can process large amounts of health data and derive actionable insights using computer vision, text and sound recognition, and NLP.

    Examples of AI implementation in the healthcare:

    • Diagnostics automation
    • Personalized healthcare
    • Identifying at-risk patients
    • Intelligent medical imaging
    • AI driven pharmaceutical research
    • ML for clinical data analysis
    • Trial prediction and optimization
    • Simplified data management with NLP
     
  • Artificial intelligence solutions are able to analyze vast volumes of data, bring transparency between suppliers and manufacturers, improve trust, and grow overall supply chain resilience. AI-powered logistics software underpins critical operational decisions using smart forecasting, recommendations for optimal orders size, and estimated delivery time. This helps mitigate risks, save costs, and increase security.

    Most common use cases of AI in supply chain management are:

    • Intelligent decision-making
    • Vehicle maintenance prediction
    • Supply chain automation
    • Optimized routing and scheduling
    • Traffic prediction and real-time updates
    • Smart fleet and staff management
  • NIX develops AI solutions to help deliver the right experience at the right time using the right channels and provide personalized experiences for your customers. We use predictive analytics to optimize marketing activities, improve return on marketing investments, fast track the buyer’s journey, create multichannel real-time personalized advertising campaigns, and ultimately drive your sales growth.

    Most common use cases of artificial intelligence in marketing are:

    • Personalised marketing
    • Marketing ROI optimization
    • Competitor analysis
    • Customer segmentation and analytics
    • Monitoring
    • Trend analysis
  • Today’s consumers tend to become smart buyers and prefer better value and customer experience. AI solutions take clients’ expectations even further by treating each customer specially and providing unique personalised experiences quickly, every time they need it, and even before they notice the need.

    Most common applications of AL in e-commerce and retail are:

    • Conversational commerce
    • Personalized shopping
    • Recommendation engines
    • Lifetime value prediction
    • Dynamic pricing
    • Cross-selling and upselling
    • Buyer behaviour and satisfaction
    • Autonomous customer support and chatbots
  • Financial and Banking

    Artificial intelligence solutions help streamline and optimize processes varying from credit decisions to financial risk management and claims processing. Through AI-enabled bots, chatbots and advanced data analytic tools, we can help you automate business processes, enhance workflow, and increase profitability due to more accurate consumer pricing and reduced false claims.

    Use cases of AI in finance and the insurance are:

    • Financial forecasting
    • Risk management
    • Fraud detection
    • Credit scoring
    • Automated repair cost estimation
    • Smart advisors and personalized wealth management
    • Automated applications processing
  • Healthcare

    NIX develops AI solutions that help reduce paperwork, boost clinical performance, and increase diagnostics accuracy while ensuring high-level data protection. ML algorithms can process large amounts of health data and derive actionable insights using computer vision, text and sound recognition, and NLP.

    Examples of AI implementation in the healthcare:

    • Diagnostics automation
    • Personalized healthcare
    • Identifying at-risk patients
    • Intelligent medical imaging
    • AI driven pharmaceutical research
    • ML for clinical data analysis
    • Trial prediction and optimization
    • Simplified data management with NLP
     
  • Logistics & Delivery & Supply

    Artificial intelligence solutions are able to analyze vast volumes of data, bring transparency between suppliers and manufacturers, improve trust, and grow overall supply chain resilience. AI-powered logistics software underpins critical operational decisions using smart forecasting, recommendations for optimal orders size, and estimated delivery time. This helps mitigate risks, save costs, and increase security.

    Most common use cases of AI in supply chain management are:

    • Intelligent decision-making
    • Vehicle maintenance prediction
    • Supply chain automation
    • Optimized routing and scheduling
    • Traffic prediction and real-time updates
    • Smart fleet and staff management
  • Marketing & Advertising

    NIX develops AI solutions to help deliver the right experience at the right time using the right channels and provide personalized experiences for your customers. We use predictive analytics to optimize marketing activities, improve return on marketing investments, fast track the buyer’s journey, create multichannel real-time personalized advertising campaigns, and ultimately drive your sales growth.

    Most common use cases of artificial intelligence in marketing are:

    • Personalised marketing
    • Marketing ROI optimization
    • Competitor analysis
    • Customer segmentation and analytics
    • Monitoring
    • Trend analysis
  • Retail & e-Commerce

    Today’s consumers tend to become smart buyers and prefer better value and customer experience. AI solutions take clients’ expectations even further by treating each customer specially and providing unique personalised experiences quickly, every time they need it, and even before they notice the need.

    Most common applications of AL in e-commerce and retail are:

    • Conversational commerce
    • Personalized shopping
    • Recommendation engines
    • Lifetime value prediction
    • Dynamic pricing
    • Cross-selling and upselling
    • Buyer behaviour and satisfaction
    • Autonomous customer support and chatbots

AI Development Process & Methodology

We follow industry best practices, recommended guidelines, and build people-independent processes to release reliable, precise and scalable artificial intelligence solutions.

Analysis of business objectives

We deeply research your goals, business processes, workflow of data and deliverables to draft the solution, outline the scope of work, and confirm feasibility and accuracy of an AI solution.

Data pre-processing

We analyze your data, visualize it for better perception, and then transform it into a consistent dataset, ensuring data quality, storage security, and exchange speed.

Feature engineering

We extract and enrich features such as characteristics, properties and attributes from raw data sets to better describe underlying problems to predictive models.

Building ML models

We form an engineering team and train several machine learning models with experimental data sets to determine which provides the most accurate and actionable results.

Deploying ML models

We put the built ML models into the production phase, integrate it into your business infrastructure, connect to data storage, and set up an admin panel for monitoring.

Review and enhancements

We process user feedback, track model performance and accuracy over time, and provide ongoing improvements.

AI Technologies Stack

FAQ on Artificial Intelligence Solutions

01/

How much does a machine learning consultation cost?

The cost of a machine learning solution depends on its complexity, the functionality implemented, and the results you want to achieve. Experienced artificial intelligence consulting company knows how to leverage artificial intelligence technology to effectively address your industry challenges and achieve your business goals faster. At NIX, we provide agile AI and machine learning consulting services, and to give an accurate estimate, we conduct a thorough assessment of your business objectives, current AI and machine learning initiatives, infrastructure, and desired timelines. 

02/

How do I choose a machine learning consulting company?

Whether you already have some groundwork or want to build an efficient machine learning solution, finding the right ML consulting company can be challenging. The provider should have the required experience developing AI and machine learning solutions for specific industries, have certifications from leading ML solutions providers like AWS, Google, IBM, etc.

NIX is artificial intelligence consulting company and we build people-independent processes to release reliable, precise and scalable artificial intelligence and machine learning solutions. Our team of data scientists has wide expertise in delivering market-ready solutions, AWS Machine Learning certifications and always strives to develop new approaches to provide the best-fitting services.

03/

What is an artificial intelligence system with an example?

Artificial intelligence is the theory and development of computer systems that can perform tasks that normally require human intelligence, automating routine tasks and introducing high-efficiency. Speech recognition, decision making, and visual perception, for example, are properties of human intelligence that artificial intelligence can possess.

04/

Will my stakeholders benefit from Machine Learning Solutions?

Firstly, you need to be sure that a machine learning solution can solve your challenge. Then it’s essential to decide if your current infrastructure is ready for implementing machine learning solutions and the in-house team has enough expertise to design, and maintain ML solutions or you need to contact AI solutions provider. Being backed up by more than 27 years of experience, we will consult you on what approach will fit you best and advise you every step of the way.

Properly designed and implemented machine learning and artificial intelligence solutions help automate internal operations, enable predictive analytics, and open up new business opportunities.

Going forward, AI and ML business solutions will be a must for every business to stay afloat and constantly evolve, and early implementation can help establish dominance over competitors. 

05/

How does ML differ from Artificial Intelligence Solutions?

All machine learning is AI, but not all AI is machine learning. Artificial intelligence business solutions use machine learning algorithms to unlock the power of automation, improve efficiency, and minimize errors. AI solves problems that require human intelligence, while ML is a subset of artificial intelligence that solves specific problems by learning from data and making predictions. Artificial intelligence is about making decisions, while machine learning allows the system to learn new things from the data.

Max Ushchenko

Max is our senior practice leader and evangelist for the “big triad” of machine learning, data analytics and data engineering, with a vast background in AI, BI services, and product management.

Big Data & Data Science Practice Leader

Max is our senior practice leader and evangelist for the “big triad” of machine learning, data analytics and data engineering, with a vast background in AI, BI services, and product management.

Eugene Rudenko

An AI Solutions Consultant with more than 10 years of experience in business consulting for the software development industry. He always follows tech trends and applies the most efficient ones in the software production process. Finding himself in the Data Science world, Yevheniy realized that this is exactly where the cutting-edge AI solutions are being adopted and optimized for business issues solving. In his work, he mostly focuses on the process of business automation and software products development, business analysis and consulting.

Applied AI & Data Science Solutions Consultant

An AI Solutions Consultant with more than 10 years of experience in business consulting for the software development industry. He always follows tech trends and applies the most efficient ones in the software production process. Finding himself in the Data Science world, Yevheniy realized that this is exactly where the cutting-edge AI solutions are being adopted and optimized for business issues solving. In his work, he mostly focuses on the process of business automation and software products development, business analysis and consulting.

01

Buzz Sharifi photo

Buzz Sharifi

Account Manager at TransGrade, CRM

Christian Rohner photo

Christian Rohner

Project Manager at Information Products AG

Craig Burris photo

Craig Burris

Director of Operations at CarSoup

Success Stories

We really care about project success. At the end of the day, happy clients watching how their application is making the end user’s experience and life better are the things that matter.

View all success stories

Cloud-based RPA Enterprise Solution

Internet Services and Computer Software

Success Story Cloud-based RPA Enterprise Solution image

vSentry—AI Web App for Vehicle Monitoring

Cybersecurity

Electronics

Success Story vSentry—AI Web App for Vehicle Monitoring image

AI Telehealth Solution for Diagnostics

Healthcare

Success Story AI Telehealth Solution for Diagnostics image

AI Web Platform for Reproductive Science

Healthcare

Success Story AI Web Platform for Reproductive Science image

ML Software Forecasting Unicorn Companies

Financial and Banking

Success Story ML Software Forecasting Unicorn Companies  image

AI Chatbot for Personalized Healthcare

Healthcare

Success Story AI Chatbot for Personalized Healthcare image
01

Why Choose NIX as Your Partner for AI Solutions Development

Substantial pool of seasoned talents

in machine learning, data science, system design and application development. We can quickly assemble the right team for your specific project and business context.

Ability to manage complex software engineering projects

by providing a full-cycle implementation of AI layers, including intensive R&D and ML model scaling. We enable and accelerate your AI journey to any stage.

Comprehensive experience in the development

of digital products and platforms across multiple business verticals, and tech stacks. We address growing AI needs of established enterprises and emerging startups.

Contact Us

Accessibility Adjustments
Adjust Background Colors
Adjust Text Colors