AI Table Tennis Coach
Innovative table tennis video analysis on iOS and Android! AI identifies game highlights, longest rallies, and offers multi-angle insights.
Gain more business intelligence through AI solutions. Improve user targeting, forecasting, and risk management with the AI and ML development company by your side.
Contact UsThe 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.
Our AI/ML engineers have built solutions for finance, retail, consulting, logistics, insurance industries, and beyond. We tailor our skills to your business needs.
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.
Having quality as one of our corporate values, we apply ISO requirements to every aspect of our work: from data security to development standards.
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.
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.
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!
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.
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.
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.
Effective data analytics Transform raw data into real-time insights, streamline structuring, and use innovative tools for data capturing, analysis, and processing.
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.
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.
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.
Increased productivity Boost your operational efficiency and gain breakthrough results with custom-made solutions in business intelligence, reporting, and data visualization.
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.
• scikit-learn
• SciPy
• LightGBM
• XGBoost
• pandas
• NumPy
• Prophet
• OpenCV
• PyTorch
• TensorFlow
• TensorFlow Lite
• Keras
• Dlib
• Tesseract
• CUDA
• Core ML
• MediaPipe
• NLTK
• fastText
• spaCy
• PyTorch
• TensorFlow
• Keras
• Hugging Face
• Stanford CoreNLP
• Gensim
• Rasa
• GATE
• K-nearest neighbors (KNN) algorithm
• support vector machines (SVMs)
• feedforward neural network (FNN)
• DBSCAN
• k-means
• self-organized feature maps (SOFM)
• Isolation Forest algorithm
• variational autoencoder (VAE)
• Fourier and Wavelet transform
• MFCCs, k-Shape clustering
• dynamic time warping (DTW)
• Matplotlib
• Seaborn
• Plotly/Dash
• Principal component analysis (PCA)
• t-SNE
• ARIMA
• SARIMA
• ARMA
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.
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.
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
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.
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.
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.
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.
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.
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.
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.