AI & ML Application Development Services
Leverage our AI & ML Software Development Services to implement machine learning models for data-driven decision making. Our services include deep learning, computer vision, NLP, conversational AI, and MLOps solutions. Partner with us for custom development and AI software solutions.
Leverage our AI & ML Software Development Services to implement machine learning models for data-driven decision making. Our services include deep learning, computer vision, NLP, conversational AI, and MLOps solutions. Partner with us for custom development and AI software solutions.
AI’s Beneficial Impact on Industries
Our AI & ML Development Services
ML models
Overview
Creating algorithms for automated data collection and learning from these data. ML models track patterns in collected data and use this knowledge for decisions. Machine learning is the discipline of creating systems that provide human-like behavior and intelligence.
Implementation in the real world
- Spam Filters.
- Fraud Detection.
- Image and Speech Recognition.
- Predictive Maintenance.
- Personalized Advertising.
- Medical Diagnosis.
Deep learning
Overview
A subdomain in artificial intelligence (AI) that allows computers to process data like a human brain. Deep learning solutions can find complex patterns in pictures, text, sounds, and other data and provide insights and predictions. This approach can be used to automate tasks that require human intelligence.
Implementation in the real world
- Object Detection & Identification Algorithms.
- Machine Translation.
- Real-time Predictive Analytics.
- Online Self-Service Solutions.
Computer Vision
Overview
A subdomain of artificial intelligence (AI) that allows computers and systems to grab information from digital visual inputs like images and videos and provide smart solutions based on that information. Computer vision enables computers to see, observe and understand via visual stream.
Implementation in the real world
- Image detection.
- Car detection.
- Face ID.
- Photos tagging.
NLP
Overview
Allows the understanding of spoken or written language, enabling computers to communicate the same way humans do.
Directions
- Sentiment Analysis.
- Topic Modeling.
- Text Categorization.
Implementation in the real world
- User reviews.
- User segmentation.
- Anomaly detection.
- Product improvement.
Conversational AI
Overview
Combination of NLP and ML to provide self-learning AI with human-like engagement and behavior.
Implementation in the real world
- Chatbots and virtual assistants.
- Sales.
- Business intelligence and transparency.
MLOps
Overview
Machine Learning Operations: An important function for automated production deployment of AI/ML-based solutions, maintenance, monitoring, and validation.
Goals
- Deployment and automation.
- Reproducibility of models and predictions.
- Diagnostics.
- Governance and regulatory compliance.
- Scalability.
- Collaboration.
- Business uses.
- Monitoring and management.
Predictive analytics
Overview
A discipline in AI/ML involving the processing of data to identify trends, extract insights, and provide information for business decisions. Answers the question, “What might happen in the future?”
Domains of application
- Healthcare.
- Retail.
- Banking and finance.
- Fossil fuels.
- Utilities.
- Industry.
- Government.
The Way We work
Our approach
Flexible AI/ML Development
Experience in different ML/DL areas allows us to be very flexible and adjust to product constraints. We can build a solution based on classical ML approaches that will not require a lot of computational resources or a huge dataset, as well as a comprehensive deep neural network that will train on a cluster of GPUs with multi-terabyte datasets.
Solutions for Any Environment
Similarly, we have experience deploying models in a vast range of environments, from edge-embedded devices with limited resources to cloud-based solutions.
Balancing Innovation and Practicality
We seek a perfect balance between “innovative” and “conservative” solutions, and we know when and how to apply state-of-the-art technologies and time-tested solutions, all according to current business needs.
Tech community
We work closely together to create effective AI/ML solutions that meet your business needs and produce the best results. Our experts are certified by reputable organizations such as Google Cloud Lab.
Techstack Ltd's efforts have helped streamline the development process, allowing them to launch the project earlier than projected. They regularly attend meetings and communicate effectively. They dedicate thorough and high-quality resources to help the client achieve all of their goals.
Clutch Review
Technology stack
Computer vision
- OpenCV
- NumPy
Deep Learning and Machine Learning
- Tensorflow 2
- Keras
- tflite
- Pytorch
- Scikit-learn
Application
- Python
- Flask
Data storage and manipulation
- Google Cloud Storage
- Pandas
DevOps
- Docker
- Kubeflow + GCP Vertex AI
QA
- Pytest
Data Visualization
- Matplotlib
- Seaborn
CI/CD
- Circle CI
- Github
- Git
- Google Cloud Platform
Development Environment
- Jupyter Notebook
- VertexAI
Our Experts
R&D Engineer, Software Engineering Lead,
Finds answers for challenges related to business
Data Scientist,
Identifies actionable insights through data analysis
Related Services
Big Data & Analytics
Optimize business processes and gain a competitive edge with the impact of AI and ML software development.
Custom software development
We excel in turning your ideas into software systems and processes that optimize the overall performance of your business.
UX/UI Design
Get insightful knowledge that will help you design a user experience tailored to your goals.
Development consulting
Gain valuable insights, identify the best technologies and tools, and streamline your development process to ensure successful results.
Internet of Things
Discover the transformative impact of combining AI and ML software development with IoT technologies to unlock valuable insights and drive innovation in your organization.
Get in Touch
FAQ
What are the benefits of implementing AI and ML in my business?
Implementing AI and ML can bring a number of benefits to your business, including improved efficiency, better decision-making, enhanced customer experiences, and increased revenue.
How long does it take to develop an AI/ML solution?
The time required to develop an AI/ML solution varies depending on the complexity of the problem, the size and quality of the data, the model's computational requirements, and the team's expertise.
What kind of data do I need to provide for AI and ML development?
The type of data required for AI and ML development depends on the specific application. Get in touch with us and we can discuss your case.