Custom AI Software Development Services

Having honed their skills over years in AI development, the Cogniteq team excels in leveraging advanced AI tools, overcoming intricate software hurdles, and delivering impactful outcomes for clients.

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120+

Employees

15+

Years of operation

3

Offices

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  • ITFirms
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  • Our AI development services

    AI software development AI software development

    Our expertise lies in crafting software infused with intelligent data analytics, chatbots, AI-driven recommendations, and sought-after functionalities. By implementing such solutions, you can significantly enhance the productivity and efficiency of your business operations.

    AI consulting AI consulting

    Our AI consulting service offers strategic guidance and implementation support to leverage artificial intelligence effectively for your business needs. We provide expert insights and hands-on assistance to optimize your AI initiatives, driving innovation, efficiency, and growth.

    AI functionality integration AI functionality integration

    Our experts can expand the functionality of your applications by powering them with the most innovative features. With the help of AI, you can automate various tasks, increase the predictability of various processes, minimize the risk of human mistakes, and enhance the quality of customer services.

    ANN design ANN design

    Our team can assist you in building artificial neural networks for teaching computers to process your data based on the principles typical for the human brain. This may be required for projects of different types, including speech-to-text, text-to-speech, text generation, and object recognition tools.

    Optimization of neural networks Optimization of neural networks

    At Cogniteq, our experts apply the most powerful neural network optimization tools for changing the features and capabilities of ANNs in accordance with your needs. This is an important step in increasing the accuracy and efficiency of all the tasks fulfilled by the neutral networks in your solutions.

    Audit of AI algorithms Audit of AI algorithms

     If you already rely on AI in your work but want to achieve a higher level of automation and efficiency, we can help you. Our experts will attentively analyze the state of your software and will offer you the best approach to adjusting the performance of your AI/ML algorithms to your ongoing business needs.

    MLOps transformation MLOps transformation

    Our specialists can help you find the right methods to seamlessly unify the creation and deployment of ML-powered systems. Thanks to this, it will be possible to achieve the highest reliability and efficiency of the performance of such systems throughout their entire life cycles.

    Decision intelligence Decision intelligence

    At Cogniteq, we can provide you with the right tools that will enhance your decision-making processes and will allow you to make better-informed decisions. Such tools are based on ML and data science and can transform huge volumes of data into valuable insights into various processes.

    Custom AI solutions we build

    • Conversational chabots
      Conversational chabots

      These apps can simulate human conversations to ensure better experiences for customers by providing the required information 24/7.

    • Voice recognition modules
      Voice recognition modules

      They can recognize various speech inputs and transform them into commands for different apps and devices.

    • Visual search applications
      Visual search applications

      While the majority of search systems work with text-based queries, these apps can rely on photos, screenshots, and other images.

    • Demand and sales forecasting models
      Demand and sales forecasting models

      Such solutions can analyze market data to detect patterns and make predictions based on the identified trends.

    • Fraud detection systems
      Fraud detection systems

      These tools can detect different deviations in the activities on your platform that can be signs of any illicit behavior.

    • Sentiment analysis for social networks
      Sentiment analysis for social networks

      With the help of such solutions, businesses can detect the best time and way to interact with their customers.

    • Voice control for smart home apps
      Voice control for smart home apps

      This technology allows users to manage their smart home systems via voice commands and enjoy hands-free experiences.

    • Smart virtual assistants
      Smart virtual assistants

      They can understand and perform various tasks based on natural language commands or questions provided by users. 

    • Clustering algorithms for customer segmentation
      Clustering algorithms for customer segmentation

      These algorithms can group customers with similar interests, preferences, needs, and demands.

    • ML-powered apps for patient treatment
      ML-powered apps for patient treatment

      Such apps can provide users with the most accurate medical info, reminders, and answers to their questions.

    • Speech-to-text and Text-to-speech tools.
      Speech-to-text and Text-to-speech tools.

      They can change the formats of the available materials by voicing texts and transforming audio records into written texts.

    • Face recognition systems
      Face recognition systems

      With this technology, it is possible to confirm users’ identities based on their faces.

    • Recommendation systems
      Recommendation systems

      They can provide users with the most valuable recommendations based on their preferences and previous searches.

    • Customer churn prediction models
      Customer churn prediction models

      These solutions analyze previous customer behavior data to detect customers who are likely to leave. 

    • Prediction maintenance systems
      Prediction maintenance systems

      They can identify anomalies in the performance of equipment to predict potential defects and enable timely repairs.

    Industries we work with

    • Healthcare

      Healthcare

      Our Artificial Intelligence development company can provide advanced solutions aimed at increasing the quality of medical services and enhancing patient experiences.

    • Retail

      Retail

      With our help, you can launch custom AI solutions for analyzing different types of market data that will provide deep insights into client behavior, sales trends, and demand changes.

    • Finance

      Finance

      Our specialists have rich expertise in delivering AI-powered tools for various purposes in the finance industry, including fraud detection, customer service, risk management, load processing automation, etc.

    • Marketing

      Marketing

      Our solutions can offer tools enriched with functionality for performing such tasks as customer segmentation, user behavior analysis, personalized recommendations predictive analytics, and others.

    • Education

      Education

      Thanks to AI development services, it is possible to achieve higher efficiency of learning and make the process of education much more engaging and better tailored to the needs of each student.

    • Entertainment

      Entertainment

      AI algorithms can deeply analyze the preferences and interests of your audience. This will allow you to provide them with the most appropriate formats and types of content.

    Why choose our AI software development company?

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      15+ years of providing software development and consulting services
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      Compliance with GDPR, HIPAA, ICO and other laws and regulations
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      Highest security standards proven by ISO/IEC 27001 certification
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      Deep knowledge in various business domains
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      Strong expertise in working with a rich tech stack
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      Well-established business processes

    Looking for an AI development team? Cogniteq is the best option!

    Get free estimates!

    Case studies 

    mobile

    Speech recognition mobile application

    STT and TTS app for education
    mobile
    Technologies
    • C/C++
    • VOSK
    • MongoDB
    • PyTorch
    Solution

    The task of our team was to develop a Speech-to-Text model for an application with speech recognition functionality for teaching children to read. It was also required to make sure that the app would be able to control children's pronunciation. Our AI development company collected and augmented intensive data sources, designed custom architectures, successfully deployed the solution and tested it. We integrated several sound transfer techniques for speech pattern reconstruction and built clusterization algorithms for data segmentation and further analysis.

    Smart plant pod

    Smart text writing assistant

    NLP-powered solution
    Smart plant pod
    Technologies
    • PyTorch
    • PostgreSQL
    • GPT-3
    • BERT
    Solution

    Our team was responsible for building an NLP-based solution aimed at streamlining the process of editing and proofreading text data. We defined text types to customize our suggestions by means of different classification approaches. We used an algorithm to notify users when a part is unexpected for the defined text domain and offered corrections based on our knowledge base. Also, our custom AI development company worked on a system for extracting key concepts from texts with the help of TF-IDF, LSI, SOTA.

    Medical smartwatch

    Risk analysis API

    Solution for the fintech industry
    Medical smartwatch
    Technologies
    • Python
    • Apache Spark
    • Scala
    • Azure ML
    Solution

    The Cogniteq team was hired to build a solution that would help a fintech company improve the assessment of non-return loan risks. The built solution accumulates data about the client’s recent loans and overall credit score. After that, the collected historical data is processed by ML algorithms to provide forecasts about the particular client’s capabilities of covering the requested loan conditions. The data is gathered from various sources including public records and our client’s history of interactions with the particular customer.

    image

    AI-based big data analytics system

    Business solution powered by Machine Learning and Data Science
    image
    Technologies
    • Python
    • Flask
    • AWS
    • MongoDB
    Solution

    Our developers had to create an AI-based operating system that could unify and process business data. The operating system unifies all the data coming from different sources, sorts it into multiple categories, and analyzes it with the help of ML algorithms. It enhances various businesses with more efficient data-based decision-making tools, from market analysis to threat intelligence. Our AI software development company was responsible for the project architecture and database design, as well as the development of microservices and system asynchronous parts.

    Motion capture system

    AI-powered ad recommendation

    ML advertising tool
    Motion capture system
    Technologies
    • Python
    • PyTorch
    • AWS
    • OpenAI
    Solution

    We needed to develop an AI engine that would be able to provide customers with relevant ads by identifying the group they belong to. The delivered solution analyzes and groups users using semantic embeddings from the BERT family of models and various clustering methods. After identifying which group a user belongs to, the solution selects the most relevant ads based on similarity scores from the transformational models. New ads are generated with the help of the latest transformational autoregressive models to fill gaps in existing ads.

    dating

    Dating website

    ML-based service to improve a dating website
    dating
    Technologies
    • Big data
    • Apache Hive
    • SPSS solutions
    • Recommendation systems
    • Hadoop
    Solution

    Our task was to design an algorithm for the personalized selection of profiles which was expected to change the way the existing dating website worked. Now, the website offers users a detailed relationship-oriented questionnaire and the ML algorithm seeks matches based on numerous parameters. The Machine Learning system explores user behaviors to find out people’s preferences. Image analysis of the face in user photos helps to adjust the algorithm so that users are matched with profiles they are likely to find appealing.

    How we deliver our AI software development services

    • 1. Discovery and requirement gathering

      Our experts need to examine your needs and expectations to offer AI solutions that will bring the highest value to your business.

    • 2. Data infrastructure creation

      We will design the required data infrastructure and choose protocols that will ensure the seamless functioning of your AI-powered software.

    • 3. Proof of concept development

      Our team will develop a proof of concept to test the performance and analyze the efficiency of your future AI tools.

    • 4. Deployment and optimization

      When your solution is ready, we will ensure its smooth implementation into your existing business processes and adjust it to them.

    • 5. Monitoring and maintenance

      We will continuously track the performance of your software and introduce the required updates to ensure its highest productivity.

    AI tech stack

    • Languages
    • Frameworks
    • Algorithms
    • Libraries
    • Neural networks

    Languages

    Python Python
    C++ C++
    SQL SQL

    Frameworks

    MXNet MXNet
    Caffe2 Caffe2
    Chainer Chainer
    Nvidia Caffe Nvidia Caffe
    PyTorch PyTorch
    Theano Theano

    Algorithms

    Clustering Clustering
    Metric learning Metric learning
    Few-short learning Few-short learning
    Supervised/unsupervised learning Supervised/unsupervised learning

    Libraries

    Neuroph Neuroph
    OpenNN OpenNN
    Tensor Tensor
    Tensorflow Tensorflow
    tf-slim tf-slim
    Sonnet Sonnet

    Neural networks

    RNN RNN
    CNN CNN
    Representation learning Representation learning
    Variational autoencoders Variational autoencoders
    Manifold learning Manifold learning
    Bayesian networks Bayesian networks
    Autoregressive networks Autoregressive networks

    FAQ

    What is AI software development?

    This term can be defined as a comprehensive process that unites various tasks and methods aimed at planning, designing, creating, deploying, and supporting digital solutions powered by AI and other related technologies. Artificial Intelligence development services can also include the process of building AI functionality and integrating it into already existing solutions.

    When can AI be used today?

    AI can be widely used in many industries to analyze data, make predictions based on them, and create personalized offers and solutions. AI is widely applied for automating customer support services and increasing their quality. AI-powered tools are good at detecting patterns. This is of great importance, for example, in healthcare for enhancing the accuracy of diagnosis.

    What are the most common challenges in AI software development?

    AI tools should be trained with huge volumes of data which are associated with a row of challenges. Among the most serious concerns, we should mention the quality of the available data, its integrity, and its objectivity. Also, there are possible ethical concerns related to the potential misuse of the decisions made by AI. As for other challenges, today the development of such solutions can become a rather expensive project. Moreover, there are still no clear regulatory frameworks.

    What are the benefits of using AI technology in business?

    AI can be applied to solving multiple tasks in various business areas. For example, it can help you leverage the automatization of many routine processes, streamline data processing, increase the accuracy of data analysis and predictions, make interaction with customers much more personalized, and ensure better protection of your sensitive data with the help of AI-powered fraud detection tools.

    How much does an AI-powered software solution cost?

    The cost of any software product always depends on numerous factors. The range of the parameters that should be taken into account for estimating the cost of AI development solutions includes but is not limited to the type and complexity of the project, the desired tech stack and integrations, the structure of the development team, and the rates of specialists.