Our AI Development Services

Industries We Serve

  • Financial Services

    AI for Financial Risk Management • AI Trading Solutions • AI-Based Credit Scoring

  • Healthcare

    AI in Healthcare Predictive Analytics • Healthcare AI Chatbots • AI in Electronic Health Records • AI for Medical Diagnosis

  • Life Sciences

    Bioinformatics AI • Biotech AI • AI for Medical Devices

  • Logistics & Transportation

    AI Predictive Maintenance • AI Routing Software • AI Warehouse Automation

  • Retail

    AI Inventory Management • AI Demand Forecasting • AI Supply Chain Management

  • Manufacturing

    AI Quality Control • AI Visual Inspection

Artificial Intelligence Technology Solutions

Generative AI Predictive Analytics Computer Vision NLP Text Processing Audio Processing Machine Learning Deep Learning

As a trusted AI software development company, we excel in Generative AI, helping businesses transform their processes with innovative and flexible solutions such as chatbots, conversation analytics, AI text, content, and video generation solutions among others. In this cutting-edge domain, we focus on six key pillars: 

• Model fine-tuning: Transfer Learning, LRA, Regularization, Hyperparameter Tuning, Instructions, Layer Re-training, PEFT, LoRA/QLoRA, Data Augmentation
• Retrieval augmented generation (RAG): LLamaIndex, LangChain, DuckDB, ChromaDB
• Custom large language model (LLM) Chains: LangChain, LlamaIndex, OpenAI, DocTran, HF Transformers, WhisperX
• Chatbots: Seq2Seq, GPT, NLU, NLG, RL, LangChain, LLamaIndex
• AI text & content generation: RNNs, LSTMs, GRUs, BERT/GPT
• AI video generation: GAN, VAE, RNN, LSTM, Neural Rendering, Video-to-Video Synthesis, Deepfakes

generative ai

By utilizing advanced forecasting models, businesses can make informed, data-driven decisions, optimize supply chains, and excel in the highly competitive e-commerce industry. In the e-commerce and forecasting domain, our customized tools include: 

• Customer Segmentation: Clustering, K-Means, DBSCAN
• Lead Scoring: Linear Regressor, Random Forest, and Boosting Regressors
• Customer Support: ARI, Silhouette Coefficient

predictive analytics

Leading in image processing and computer vision technologies, we innovate in object recognition, autonomous systems, and visual analytics. Our expertise is supported by a sophisticated toolkit designed for diverse tasks: 

• Image recognition and classification: LeNet/AlexNet/VGGNet/ResNet, Object Detection, FCN, U-Net, SIFT/SURF
• Object detection: Haar Cascades, HOG, R-CNN/Fast R-CNN/Faster R-CNN, Single Shot Detectors, YOLO(v2/v3), R-FCN, CornerNet/CenterNet
• Image generation and modification: GAN, VAE, Neural Style Transfer, DeepDream, Super-Resolution, Image-to-Image Translation, Image Inpainting, Image Colorization
• Facial recognition: Eigenfaces/Fisherfaces, Geometric Feature Based Techniques, SIFT/SURF, SVM, CNNs, DeepFace, FaceNet, 3D Recognition, Thermal Imaging
• Optical character recognition: Noise Reduction, Binarization, Deskewing, Normalization, Character Segmentation, Feature Extraction, Template Matching, SVM, Contextual Analysis, LSTM, RNN, Transfer Learning

computer vision

Our expertise in Natural Language Processing (NLP) and Text Processing helps businesses enhance efficient communication, sentiment analysis, and content understanding. In the realm of NLP and Text Processing, our proficiency is reflected through: 

• Sentiment analysis: LSTMs, Neural Network Transformer
• Machine translation: Rule-Based, Statistical, Neural, or Hybrid Machine Translation
• Speech recognition: HMMs, Deep Neural Networks, N-gram Models, MFCCs, Spectrogram, CTC, Attention Models and Transformers, Seq2Seq
• Named entity recognition: Rule-Based Techniques, HMMs, CRF, SVMs, RNNs, Bidirectional LSTMs, BERT
• Scoring search results: TF-IDF, LSTMs, VSM, ML Models, LTR, BERT
• Recommendations: word2vec, doc2vec, RNN Attention
• Finding vulnerabilities in source code: Encoder-Decoder Seq2Seq, LSTM
• Topic modeling: LDA, Non-negative Matrix Factorization, LSA, HDP, Correlated/Dynamic/Supervised Topic Models

natural language processing

Our custom AI solutions understand and generate human-like speech in real time, making digital interactions more accessible. Designed for high accuracy even in noisy environments, our products enhance communication by driving efficiency and reducing errors. Our team works with: 

• AI audio generation: Waveform-Based/Spectral/Physical/Granular Modeling Synthesis, RNNs, LSTMs, GANs, Autoencoders
• Speech-to-Text (ASR): HMMs/DNNs, N-gram Models, NLMs, MFCCs, Spectrogram, CTC, Attention-Based Models, Transformers, Speaker Diarization/Adaptation
• Text-to-Speech (Speech Synthesis): Unit Selection, Diphone Synthesis, Parametric TTS, Tacotron/WaveNet, Voice Cloning, Emotion and Expressiveness
• Sound Classification: Time Domain/Frequency Domain/Time-Frequency Features, ML, Deep Learning, Transfer Learning, Data Augmentation

ai speech and audio processing

Address biases, cybersecurity threats, and overfitting models with our effective ML solutions. As an established AI/ML development services company, we help businesses choose the right ML models for their specific problems, considering their infrastructure requirements: 

• Supervised learning: Linear/Logistic Regression, SVMs, Decision Trees, Random Forests, Neural Networks, GBMs, KNNs, F1 Score/ROC-AUC, MSE/RMSE/MAE
• Unsupervised learning: DBSCAN/Hierarchical/K-Means Clustering, PCA, t-SNE, Autoencoders, Apriori/Eclat, Isolation Forest, One-Class SVM, GANs, SOMs
• Semi-supervised learning: Self/Co-training, Transductive Learning, Label Propagation/Spreading, Graph-based Semi-supervised Learning, Deep Learning
• Reinforcement learning: Q-learning, DQN, REINFORCE, PPO, A2C, SAC, model-based RL, MCTS, multi-agent RL

machine learning

As leaders in deep learning engineering, our artificial intelligence experts transform your data into actionable insights, driving change and enhancing performance. We support you at every stage, from assessing your data’s suitability for training algorithms to deploying customized models and refining accuracy. Our team specializes in: 

• Convolutional neural networks (CNNs)
• Recurrent neural networks (RNNs): LSTMs, GRUs
• Autoencoders
• Generative adversarial networks (GANs)
• Transformer models
• Deep reinforcement learning

deep learning

Estimated AI Software Development Cost


AI development costs can vary based on complexity, type of AI technology used, and the level of customization required.

  • AI POC Development

    Cost range: $5,000 - 50,000. Timeline: 1-3 months. A PoC involves creating a prototype to study the feasibility of the AI concept. Costs can vary based on the complexity of the AI model, data collection, and the level of integration required.

  • AI MVP Development

    Cost range: $20,000 - 200,000. Timeline: 3-6 months. MVP is a basic version of the AI product with just enough features to satisfy early adopters. Costs vary based on the complexity of the algorithms, the amount of data, and the integrations.

  • AI Product Development

    Cost range: $50,000 - 500,000+. Timeline: up to 1 year. Involves building out all the features, ensuring scalability and robustness. Costs vary depending on the complexity of the AI models, the development team size, and support requirements.

  • Cost Considerations

    Licensing fees for AI tools; legal and compliance costs: relevant in regulated industries; ongoing operational costs include maintaining AI models, continuously training them with new data, and additional expenses for scaling up operations.

Looking for a Reliable AI Technology Partner?

Achieve your business goals faster and build a foundation for long-term growth with our AI development services. Contact us today to create innovative solutions that drive business success and open new opportunities for the future.

Request Free Consultation

AI Software We Delivered

More Case Studies
AI-Driven Speech Analytics: Empowering Informed Business Decisions
Streamlining Eyeglass Orders for a Leading Eyewear Retailer
Virtual Try-On Solution

Why Develop Custom AI Software with Coherent Solutions

  • Expert Digital Engineering

    With over 30 years of experience, we excel in delivering innovative software solutions that streamline operations, enhance productivity, and drive business growth.

  • Comprehensive Tech Stack

    With a team of over 2,000 highly skilled developers, we excel in both mainstream and cutting-edge technologies, delivering versatile and robust solutions crafted to meet your needs.

  • Proven Development Process

    Our approach emphasizes the use of diverse and representative data to minimize biases, ensuring our AI solutions perform accurately across all scenarios.

  • Industry Experience

    As a seasoned software engineering company, we have successfully delivered solutions across various industries, including fitness, finance, retail, and manufacturing.

Our Engagement Models


AI development costs can vary based on complexity, type of AI technology used, and the level of customization required.

  • Consulting

    Not sure how to harness AI for your business? Start with our AI consulting services. We assess your business processes and gather project requirements to ensure all efforts align with your goals and are set on the right path.

  • Professional Services

    Looking to customize your software solutions? Our expert team develops custom AI features tailored to your specific needs, ensuring your systems are perfectly optimized for peak performance.

  • Dedicated Team

    Enhance your development capabilities with our AI experts. Our dedicated team model ensures seamless collaboration and provides the expertise and commitment for your project’s success.

  • Product Development

    For businesses aiming to bring new products to market, we offer end-to-end product development. Our dedicated team works closely with you to design, develop, and deploy innovative products that put you ahead of the competition.

Our Approach

  • Business Domain

    • We start by understanding your business goals and objectives, identifying the specific problems you need to solve. This ensures our AI solutions are geared towards driving real value for your business.
  • Data Analysis

    • This step focuses on understanding and preparing your data for AI development. We acquire, extract, transform, and load your data, performing exploratory analysis to uncover insights. Then, we select suitable ML algorithms and prepare your data to align with them, ensuring optimal performance.
  • Modelling & Frameworks

    • During this phase, we carefully select frameworks tailored to our project's needs. We train and validate our ML models rigorously to ensure reliability. By fine-tuning parameters, we optimize performance and establish clear benchmarks for accuracy and quality.
  • Hosting & Deliverables

    • During this phase, we seamlessly deploy our AI solutions into live environments, ensuring smooth integration and reliable performance. We continuously monitor and enhance deployed models to maintain peak effectiveness and meet evolving demands.

Meet AI Engineering Experts

Anton Cheplyukov

Anton Cheplyukov

AI Practice Lead

Andrey Tkachenya

Andrey Tkachenya

AI Engineering Lead

Vladislav Svetlakov, Machine Learning Engineer at Coherent Solutions

Vladislav Svetlakov

Machine Learning Engineer

Stanislav Bychkovsky

Stanislav Bychkovsky

Machine Learning Engineer

Kickstart Your AI Solution Faster

Looking for end-to-end AI product development? Contact us today to turn your vision into reality. Our expert team will ensure a seamless process from concept to deployment, delivering innovative solutions tailored to your needs.

Request Free Consultation

Frequently Asked Questions

  • What types of AI solutions does Coherent Solutions offer?

    We specialize in a variety of AI solutions, including machine learning, natural language processing, AI-powered analytics, and automation tools. Our AI software development services are customized to meet the unique needs of your business, ensuring you receive the most effective and efficient AI solutions.

  • How do you ensure the AI solutions are aligned with our business objectives?

    As an AI app development company, we begin with a detailed consultation to understand your specific business challenges and objectives. We then design and implement AI solutions that are directly aligned with your goals, ensuring the technology integrates seamlessly and delivers tangible business outcomes.

  • What is the typical timeline for developing an AI MVP?

    The time required to develop an AI MVP varies widely depending on factors such as project complexity, available resources, team expertise, and data availability. It can range from a few weeks for simpler solutions to several months for more complex projects. Iterative development and continuous improvement are common in AI/ML projects.

  • Can Coherent Solutions help us scale our AI solutions as we grow?

    Absolutely! Our AI software development services are designed with scalability in mind, ensuring your artificial intelligence technology solutions can evolve as your business grows. We provide ongoing support and updates to accommodate new data, features, and integration needs.

  • What measures do you take to ensure data privacy and security in AI applications?

    Data security is paramount in all our Artificial Intelligence technology solutions. To protect your data throughout its lifecycle, we adhere to industry-standard security practices, including data encryption, secure data storage, and compliance with GDPR and other regulatory requirements.

  • Can AI/ML be integrated with existing systems and technologies?

    Yes, artificial intelligence and machine learning can be integrated with existing systems and technologies. APIs and libraries provided by AI/ML frameworks enable easy integration, and models can be deployed on cloud platforms or embedded within existing software solutions.

  • What kind of support can we expect after the deployment of an AI solution?

    Our artificial intelligence experts offer ongoing support and maintenance services to ensure your AI systems operate efficiently and continue to meet your business needs after deployment. This includes troubleshooting, updates, and potential enhancements as AI technology evolves.

  • How do you measure the success of an AI project?

    Success is measured against the specific objectives set at the project’s inception. As a trusted custom AI development company, we use key performance indicators (KPIs) agreed upon with our clients to evaluate project success, including improvements in efficiency, cost reduction, and other relevant metrics.

  • What are some real-world applications of artificial intelligence and machine learning?

    Artificial intelligence and machine learning have many real-world applications across various industries. Some examples include: 

    • Natural language processing for chatbots and virtual assistants. 

    • Image and video recognition for autonomous vehicles, surveillance, and medical imaging. 

    • Fraud detection for financial transactions. 

    • Personalized recommendations in e-commerce and content streaming platforms. 

    • Predictive maintenance in manufacturing and asset monitoring. 

    • Drug discovery and genomics research in healthcare.

Get a Free Consultation with Our Experts!

Simply fill out our contact form below, and we will reach out to you within 1 business day to schedule a free 1-hour consultation covering platform selection, budgeting, and project timelines.

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Here's what happens next:

  1. Our sales rep will contact you within 1 day to discuss your case in more detail.
  2. Next, we will arrange a free 1-hour consultation with our experts on platform selection, budgeting, and timelines.
  3. After that, we’ll need 1-2 weeks to prepare a proposal, covering solutions, team requirements, cost & time estimates.
  4. Once approved, we will launch your project within 1-2 weeks.