Artificial Intelligence Development Company

Gain more business intelligence through AI solutions. Improve user targeting, forecasting, and risk management with the AI and ML development company by your side.

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Our Path to Innovation

The AI/ML department at CHI Software was founded in 2017 with a focus on machine learning technologies. Now it tackles almost any innovative challenge. Starting with four developers, it has grown to an impressive in-house team of 80 AI engineers (including 14 Ph.D. experts), supported by QAs, project managers, and delivery managers.

In five years, the team has made major progress from building simple smart home products to connected cars systems, vehicle health systems, image/speech/language recognition solutions, automated building plan approval systems (ABPAS), geosocial apps, and more. The team members have gained certifications from Microsoft and Amazon Web Services and regularly participate in international AI conferences. In 2021, the department became one of the leaders in the cognitive computing and NLP niches, according to Clutch, and got the AI Excellence award in 2022.

backend developers

What You Receive with Our AI/ML Development Services

Cross-domain experience

Our AI/ML engineers have built solutions for finance, retail, consulting, logistics, insurance industries, and beyond. We tailor our skills to your business needs.

End-to-end development lifecycle

We are the team to assist you every step of the way: from initial scientific research and machine learning consulting to deploying complex ML solutions.

Quality-focused approach

Having quality as one of our corporate values, we apply ISO requirements to every aspect of our work: from data security to development standards.

Our awards and certifications

designrush AI Award
top 100 global outsourcing
iso 9001-2015
ai excellence award
iso 27001-2015
aws certified
the manifest most reviewed companies
clutch logo

Unlock New Opportunities with Artificial Intelligence Solutions

We take the latest tech practices and transform them into AI and machine learning services for various business domains. Here are our main work directions.
  • Machine Learning

    It is a broad artificial intelligence subsection, which allows you to make predictions about trends, costs, and customer churn. With the CHI Software team, you can build robust recommender systems, provide classification and cluster analysis capabilities to your business, and detect frauds & anomalies.

  • Computer Vision

    We bring to life progressive CV technologies, such as object detection, recognition and tracking, segmentation, image generation and classification, facial recognition, 3D reconstruction, optical character recognition, and more. With these technologies, you can quickly analyze and classify real-time images for any purpose.

  • Natural Language Processing

    Recognize text optically, process big data, and set algorithms to extract meanings – with ease. Our AI app development company provides chatbot capabilities, machine translation, spam detection, topic modeling, etc. NLP allows for text generation, classification, and summarization. Let technology do all the hard work!

  • Signal Processing

    Distinguish signals that matter the most to your business and elevate decision-making. Detect and classify events based on telemetry data or filter out critical signals and suppress ambient noise.

  • Data Science

    Manage big data and extract actionable insights from any data piece. Technologies enable you to process all kinds of information, which is impossible for human efforts. Our data scientists will sort out the most valuable data, then visualize, and communicate it.

  • MLOps

    The MLOps approach connects the efforts of data scientists and ML engineers to optimize the pace of model development, manage all of its stages, and provide continuous deployment. We will help you get the most out of machine learning development and achieve lucrative business results.

Related Web Development Services for Your Project

AI and ML Can Support Your Business in Many Ways:

  1. Effective data analytics Transform raw data into real-time insights, streamline structuring, and use innovative tools for data capturing, analysis, and processing.

  2. Workflow automation The artificial intelligence lifecycle automates your business operations and corporate routine, improves management, and reduces the risk of human error in daily tasks.

  3. Enhanced customer experience Acquire new information, swiftly process it, collect, and analyze the results. AI software development allows you to continuously offer products that meet customer expectations.

  4. Better forecasting accuracy Foresee possible risks and upcoming market trends by starting digital transformation. Be one step ahead of your competitors and use emerging market changes to your advantage.

  5. Increased productivity Boost your operational efficiency and gain breakthrough results with custom-made solutions in business intelligence, reporting, and data visualization.

  6. Improved decision-making Reinforce crucial business decisions with structured real-time information available 24/7. Make the most out of the available data for your business prosperity.

Our Tech Stack for AI and ML Development Tasks

  • Machine Learning / Data Analysis Frameworks

    • scikit-learn
    • SciPy
    • LightGBM
    • XGBoost
    • pandas
    • NumPy
    • Prophet

  • Computer Vision Frameworks

    • OpenCV
    • PyTorch
    • TensorFlow
    • TensorFlow Lite
    • Keras
    • Dlib
    • Tesseract
    • CUDA
    • Core ML
    • MediaPipe

  • Deep Learning / Natural Language Processing Frameworks

    • NLTK
    • fastText
    • spaCy
    • PyTorch
    • TensorFlow
    • Keras
    • Hugging Face
    • Stanford CoreNLP
    • Gensim
    • Rasa
    • GATE

  • Classification

    • K-nearest neighbors (KNN) algorithm
    • support vector machines (SVMs)
    • feedforward neural network (FNN)

  • Clustering Specific Algorithms

    • DBSCAN
    • k-means
    • self-organized feature maps (SOFM)

  • Anomaly Detection and Generation

    • Isolation Forest algorithm
    • variational autoencoder (VAE)

  • Signal Processing

    • Fourier and Wavelet transform
    • MFCCs, k-Shape clustering
    • dynamic time warping (DTW)

  • Python Visualization Tools

    • Matplotlib
    • Seaborn
    • Plotly/Dash

  • Dimensionality Reduction

    • Principal component analysis (PCA)
    • t-SNE

  • Time Series Prediction

    • ARIMA
    • SARIMA
    • ARMA

We Can Join You at Any Stage of Your AI Development Project

AI-Based Engineering

We have a specialist in nearly any AI and software development niche to build innovative solutions from the ground up. The CHI team is 800+ experts striving for quality in every operation. Not only do we build software, we set up long-term partnerships.

Discovery Phase

We help you find your path in the AI realm by examining your ideas and market environment. Being an artificial intelligence app development company, we can guide you through various technologies and pick a tech stack that responds to your business needs.

Integrations & Fine-Tuning

Only some businesses have enough resources to hire in-house engineers for AI integration. But you can outsource this work to our team at any moment. We guarantee flawless integration and monitoring to ensure your software works as expected.


Here is what you need to know about our AI/ML Development Services

  • How much does it cost to develop an AI or ML project? arrow

    The investment in AI and ML development services starts from 10,000 USD and varies hugely depending on the project complexity and technologies involved. Our job is to provide a rough project estimation as soon as possible, considering your expectations and market analysis.

  • What is the development process for AI solutions at your company? arrow

    First, we take time for research and discovery. Here, we look closely at a software idea, user pain points, value proposition, etc., to come up with a tech stack and the team needed to do the work.In the second stage, we start working with the client’s data and prepare it for algorithm training. Our AI engineers turn to the Cross-Industry Process for Data Mining (CRISP-DM) and apply it cyclically for the best results.Then, we proceed to the modeling stage, where we apply the collected data to train the project’s model.At the last stage, the CHI team evaluates the job done and decides whether the model requires more training or is ready for deployment.

  • How long does it take to develop an AI or ML solution? arrow

    The timeframe may vary significantly, from a couple of weeks (if, for example, we integrate ChatGPT features) to 1-2 years. The final estimation depends on the project’s complexity. But you should remember that many AI and ML projects start with a proof of concept (PoC) that allows you to try out your idea. The PoC development lasts 1-2 months.

  • Can you provide examples of successful AI and ML projects you have completed in the past? arrow

    Yes, sure! You can browse our Case Studies section in the Machine Learning & AI category. There, we’ve gathered some outstanding AI development projects we are honored to participate in. We provided AI and machine learning development services for retail, logistics, construction, automotive, media & entertainment, and other industries.

  • Do you provide AI consulting services? arrow

    Yes, we do, and we believe that consulting is vital for any entrepreneur interested in AI. Regardless of your software request, our task is to provide you with maximum information about what to expect and what risks to prepare for.

  • Can you provide support and maintenance after AI implementation? arrow

    Strictly speaking, any AI solution requires continuous checkups and updates after implementation, so support and maintenance are our top priorities as soon as a project is finished and approved. You can delegate all the AI work to us and focus solely on business growth.

  • What level of involvement do you expect from clients during the development process? arrow

    Artificial intelligence solutions are often entirely unique and reflect the client’s current business tasks. That is why we do our best to create a collaborative environment during any of our AI projects. It involves in-depth discussions at the project outset, regular updates that often require the client’s feedback, approval procedures after project milestones, collaborative testing to make sure the solution works exactly how our client expects, etc.


Have more questions to ask?

Chat with our project managers and business analysts at a free consultation.

Let’s bring your idea to
life together!

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    Head of PMO at CHI Software