Reinforce your core workflows, unlock the potential of generated data, and bring a significant advantage to customers with powerful AI solutions.
We provide flexible AI engineering and machine learning consulting services, depending on your current artificial intelligence initiatives, business challenges, and desirable timeline.
Build AI solutions that simply work and scale
We take care of all aspects of the product lifecycle—from the requirements stage all the way to launch and maintenance to a working AI solution.
Seamlessly increase AI development capabilities
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 and improve time-to-market.
Provide research and consulting to adopt AI
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.
AI solutions generate additional value for products, speed up operations, increase efficiency, and highlight data insights that bring game-changing advantages.
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.
The vast majority of industries employ outdated legacy systems in internal operations.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.
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.
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.
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.
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:
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:
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:
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:
We know how to leverage technology to address your industry-specific issues efficiently, enhance the organizational workflow, and smoothly bring digital transformation to your doorstep.
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:
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:
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:
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:
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 artificial intelligence in eCommerce and retail are:
We follow industry best practices, recommended guidelines, and build people-independent processes to release reliable, precise and scalable artificial intelligence solutions.
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.
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.
We extract and enrich features such as characteristics, properties and attributes from raw data sets to better describe underlying problems to predictive 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.
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.
We process user feedback, track model performance and accuracy over time, and provide ongoing improvements.
We employ top-notch technologies for AI development ensuring our clients obtain efficient and scalable products.
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.
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.
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.
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.
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.
Applied AI & Data Science Solutions Consultant
Eugene is a data engineering solutions expert and big data management consultant with more than 10 years of experience in business consulting for top-tier international technology companies.
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.
More than half of our clients recommend NIX to colleagues and friends. Another half chose NIX by a recommendation. This is why client feedback and satisfaction are our #1 priorities.
Account Manager at TransGrade, CRM
“Extremely detailed, professional, attentive”
Project Manager at Information Products AG
“Quality of delivered work is outstanding”
Director of Operations at CarSoup
“It is hard to impress me, and NIX kept me happy”
Companies that trust us
We are proud to partner with leading global organizations who provide infrastructure for AI development. This motivates us to excel and offer our clients better artificial intelligence solutions.
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.
How NIX helped leverage data science and artificial intelligence for digital transformation of Assisted Reproduction field.
AI RPA platform that allows the client to empower large enterprises to take automation to the next level, accelerate digital strategies, and transform workflows.
vSentry is a AI-powered web application that utilizes ML and deep learning to detect and prevent vehicle cyber attacks.
Telehealth system with sophisticated AI-based analytics for physicians to monitor a patient’s state in real-time and remotely using IoT devices.
AWS-based software forecasts potential unicorn companies in early-stage deals using AI and deep learning.
High-load chatbot performing as a personal medical assistant based on behavioral profiling and AI personalization.
See more success stories
in machine learning, data science, system design and application development. We can quickly assemble the right team for your specific project and business context.
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.
of digital products and platforms across multiple business verticals, and tech stacks. We address growing AI needs of established enterprises and emerging startups.
Our representative gets in touch with you within 24 hours.
We delve into your business needs and our expert team drafts the optimal solution for your project.
You receive a proposal with estimated effort, project timeline and recommended team structure.
Machine learning will become more prevalent in the finance sector and expand to other industries, as well as the apps and programs for the industry.
Machine learning has been successfully used in healthcare for a while. Here, we review its benefits for the industry, some of the best examples, and the future of the technology.
A job for life is not really an option for most people anymore. Technological changes and innovations are continually impacting what is and is not possible. The ideal future is one where machines and men work together harmoniously.
Preparing data for machine learning is a complex process that requires technical and domain expertise. Explore techniques to prepare your data for ML algorithms.
Many industries are getting more automized every year. Robotic process automation is a technology that stays behind this process. It can help your business grow by saving costs, improving productivity and reducing human error.
The experience of our team working with neural network speech synthesis using the Tacotron 2 Architecture.
AI and Big Data are the most discussed forward-looking technologies. Let’s see how AI in business can help to get more insights and build an efficient data strategy.
The amount of data worldwide is continuing to grow exponentially. Companies that want to thrive need to have access to a data science team so that they gain the most value from the data.
Artificial Intelligence is transforming the way we live and work on an almost daily basis. Certain industries benefit from the technology more than others. Take a closer look at the advantages of AI in Healthcare, Banking and Retail Sectors.
Looking for a trusted MLaaS vendor? Choose the best one with our Amazon vs Microsoft Azure vs Google Cloud AI vs IBM Watson in-depth overview.
AI systems that can replace humans are still far in our future. However, Machine Learning algorithms are already better at specific tasks and Deep Learning models show great promise for future improvements.
See more insights