Transform your business with our innovative AI software development services.
Request Free ConsultationOur experts will guide you through every stage of custom AI development. We assess and identify impactful use cases and showcase AI's potential through proof-of-concept initiatives.
Need to speed up POC/POV development and deployment for churn prediction, user behavior analytics, or image classification? Our experts provide prebuilt AI pipelines and sample datasets to accelerate your time to value.
Our AI implementation services ensure a smooth transition to full-scale AI adoption. We specialize in customizing AI applications to meet your specific needs, ensuring seamless integration with your existing systems.
Our MLOps services optimize, operationalize, and scale AI initiatives for maximum impact. We ensure peak performance and cost efficiency, delivering consistent, high-quality results.
Transform your ideas into powerful solutions with our custom AI product development services. From creating prototypes to testing feasibility and building MVPs, we deliver customized solutions for seamless integration, scalability, and market impact.
We deliver scalable artificial intelligence enterprise solutions tailored to meet complex needs. Utilizing advanced AI development tools, we ensure seamless integration, helping your business optimize operations and drive innovation.
AI for Financial Risk Management • AI Trading Solutions • AI-Based Credit Scoring
AI in Healthcare Predictive Analytics • Healthcare AI Chatbots • AI in Electronic Health Records • AI for Medical Diagnosis
Bioinformatics AI • Biotech AI • AI for Medical Devices
AI Predictive Maintenance • AI Routing Software • AI Warehouse Automation
AI Inventory Management • AI Demand Forecasting • AI Supply Chain Management
AI Quality Control • AI Visual Inspection
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:Â
• 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
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:Â
• Customer Segmentation: Clustering, K-Means, DBSCAN
• Lead Scoring: Linear Regressor, Random Forest, and Boosting Regressors
• Customer Support: ARI, Silhouette Coefficient
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:Â
• 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
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:Â
• 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
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:Â
• 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
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:Â
• 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
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:Â
• Convolutional neural networks (CNNs)
• Recurrent neural networks (RNNs): LSTMs, GRUs
• Autoencoders
• Generative adversarial networks (GANs)
• Transformer models
• Deep reinforcement learning
AI development costs can vary based on complexity, type of AI technology used, and the level of customization required.
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.
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.
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.
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.
Achieve your business goals faster and build a foundation for long-term growth with our AI development services. Partner with us today to create innovative solutions that drive business success and open new opportunities for the future.
Request Free ConsultationWith over 30 years of experience, we excel in delivering innovative AI software solutions that streamline operations, enhance productivity, and drive business growth.
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.
Our approach emphasizes the use of diverse and representative data to minimize biases, ensuring our AI solutions perform accurately across all scenarios.
As a seasoned AI engineering company, we have successfully delivered solutions across various industries, including fitness, finance, retail, and manufacturing.
We care about your business, focusing on success and timely delivery. Read what our customers say about our collaboration.
Coherent Solutions is more than an AI development company—it’s your partner in every step of AI adoption. Explore our collaboration models or connect with our consulting experts to find the best fit for your business.
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.
Looking to customize your software? Our expert team develops custom AI solutions tailored to your specific needs, ensuring your systems are perfectly optimized for peak performance.
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.
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.
AI Practice Lead
AI Engineering Lead
Machine Learning Engineer
Machine Learning Engineer
Amazon S3, Google Cloud Storage, Azure Blob Storage, PostgreSQL, MySQL
Apache Cassandra, MongoDB, DynamoDB, Hadoop HDFS, Databricks
Label Studio, CVAT, Amazon SageMaker
GroundTruth, Supervisely, labelimg
OpenCV, Pillow (PIL), scikit-image, Albumentations, NVIDIA DALI, spaCy, NLTK
Hugging Face Transformers, TextBlob, Gensim, Pandas, Dask, PySpark, PyArrow
Sobel, Canny, Otsu’s thresholding, Adaptive thresholding, Watershed algorithm, Lucas-Kanade method
Farneback method, Erosion, Dilation, FFT (Fast Fourier Transform), Wavelet Transforms (scipy.signal)
XGBoost, LightGBM, CatBoost, SVM, k-NN, Random Forest, Decision Trees
Naive Bayes, Logistic Regression, Linear Regression
VGG, ResNet, Inception, MobileNet, EfficientNet, YOLO, YOLOX, SSD, Faster R-CNN
U-Net, AdaptNet, SAM2, Mask R-CNN, DeepLab, GANs, StyleGAN, CycleGAN, LSTM
Anthropic Claude 2/3, GPT-4, ChatGPT, Llama 2/3, Mistral, Phi3.5, GPT4All, Cohere, BERT, T5, DALL-E, Stable Diffusion, Hugging Face Transformers, LlamaIndex, LangChain, OpenAI API
Azure OpenAI, AWS Bedrock, Qdrant, PostgreSQL (pgvector), AWS Bedrock Agents, AWS Bedrock Guardrails, AWS Bedrock Knowledge Base, DeepEval, VLLM, Unsloth
PyTorch, TensorFlow/Keras, JAX, SGD, Adam, RMSprop, Adagrad cross-validation
K-fold Validation, Data Splitting, MLflow, Ray Train, Ray Tune, Weights & Biases, TensorBoard
TensorFlow Serving, TorchServe, Ray Serve, ONNX Runtime, NVIDIA Triton Inference Server
FastAPI, Django, gRPC, TensorFlow Lite, OpenVINO, AWS Greengrass, AWS SageMaker, AWS (ECR, ECS, EKS)
Elastic Stack (ELK - Elasticsearch, Logstash, Kibana), AWS CloudWatch, Azure Monitor, Prometheus + Grafana
Datadog, New Relic, Weights & Biases, AWS SageMaker, MLFlow, TensorBoard, AzureML, Azure Monitor, Azure App Insights
Kubeflow, MLflow, TFX (TensorFlow Extended), Apache Airflow, GitHub Actions, GitLab CI/CD
Jenkins, CircleCI, Terraform, Kubernetes, Docker, Helm, Ray, Azure Pipelines
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 ConsultationWe 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.
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.
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.
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.
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.
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.
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.
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 agreed upon with our clients to evaluate project success, including improvements in efficiency, cost reduction, and other relevant metrics.
Artificial intelligence and machine learning have many real-world applications across various industries. Some examples include:Â
• Natural language processing for chatbots and virtual assistants.Â
• Image and video recognition for autonomous vehicles, surveillance, and medical imaging.Â
• Fraud detection for financial transactions.Â
• Personalized recommendations in e-commerce and content streaming platforms.Â
• Predictive maintenance in manufacturing and asset monitoring.Â
• Drug discovery and genomics research in healthcare.
Ever wondered what makes some companies stand out in the AI space while others struggle to keep up? The secret often lies in their AI tech stack. Understanding the core components and best practices can set you on the path to success.
In this comprehensive article, we explore the factors that impact the cost of developing an AI solution and provide a clear breakdown of pricing and ROI considerations. Whether you're new to AI development or refining your approach, this overview offers actionable advice to help you navigate and optimize your AI investment.
Artificial intelligence offers businesses untapped opportunities, but without a clear strategy, many struggle to realize its full potential. In this article, we'll demystify AI for business leaders, providing practical insights on how to integrate AI strategically and responsibly. As you read, you’ll learn how to assess your company’s needs, set clear goals, and avoid common pitfalls in AI implementation.
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