AI Development Services
Our AI software development services will turbocharge your digital transformation, from detecting anomalies to performing real-time video analysis. Our AI developers can expand your in-house teams or create AI software products from scratch to address business issues in multiple industries.
Our AI software development services will turbocharge your digital transformation, from detecting anomalies to performing real-time video analysis. Our AI developers can expand your in-house teams or create AI software products from scratch to address business issues in multiple industries.
AI’s Beneficial Impact on Industries
Our AI Development Services
ML models
Overview
Creating machine learning 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.
Natural language processing (NLP)
Overview
Allows the understanding of spoken or written language, building neural networks, and 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.
Predictive analytics
Overview
This discipline in AI involves the processing of data to identify trends, extract insights, and provide information for business decisions. It answers the question, “What might happen in the future?”
Domains of application
- Healthcare.
- Retail.
- Banking and finance.
- Fossil fuels.
- Utilities.
- Industry.
- Government.
Technology Stack
Computer Vision
- OpenCV
- NumPy
Deep Learning and Machine Learning
- Tensorflow 2
- TFLite
- Keras
- Scikit-learn
- Pytorch
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
Incorporating AI/ML into Existing Healthcare Flow
We helped our partner incorporate AI/ML into their existing ECG analyzing flow to streamline their process, increase accuracy, and ultimately boost patient outcomes. Thanks to the capabilities of AI/ML, we enabled a more efficient and accurate healthcare workflow for our partner, freeing up their time and allowing them to focus on providing the best possible care to their patients.
Seamless integration into existing software system
In order to successfully incorporate the AI/ML model into the ECG analyzing flow, which had been built up through years of research and development, our team worked closely with system developers and AI engineers to understand the existing system architecture, protocols, and requirements. With their expertise on our side, our team crafted a detailed plan to ensure a smooth transition. Our partners’ careful planning, design, and testing enabled a successful integration of the model without disrupting the existing workflow.
Security and data integrity
To ensure data privacy and security, our team put in place a rigorous framework. We evaluated existing security systems for any vulnerabilities and developed strategies to mitigate potential threats. Additionally, data anonymization was utilized to protect any sensitive personal information used for the AI/ML model.
They facilitate open communications with each member, and the team works well together.
Clutch ReviewIndustries We Serve
As an artificial intelligence software development company, we specialize in crafting secure, efficient, and scalable solutions to meet your individual business needs. Our team of experts has extensive knowledge in creating custom AI applications, utilizing cutting-edge tools and methods to generate valuable insights in various areas.
Manufacturing
Healthcare
Renewable energy
Transportation and logistics
Digital transformation
The Way We work
Our Approach
Flexible AI development
Our experience and expertise in different AI areas allow us to be very flexible and adjust to product constraints. We can build a solution based on classical AI 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
As a custom AI development company, 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 solutions that help businesses, meeting your business needs to produce the best results. Our AI 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 ReviewGet in Touch
FAQ
What are the benefits of implementing AI in my business?
Implementing AI in your business offers several benefits. It enhances efficiency, reduces operational costs, and provides insightful data analytics. Artificial intelligence development solutions can automate repetitive tasks, enabling faster decision-making. Partnering with an AI software development solutions company like Techstack ensures tailored AI tools that align with your business needs, leading to improved customer experience, increased competitiveness, and higher profitability.
How long does it take to develop an AI solution?
The timeline for developing an AI solution varies greatly depending on the complexity of the product. It can range from a few weeks to several months or even years. Artificial intelligence application development services provided by an artificial intelligence software development company or an AI software development agency like Techstack are typically involved in this process. We offer custom AI app development solutions for a range of industries, which involve stages like problem identification, data preparation, model selection, training, testing, and deployment. Each stage has its own time requirements, making it difficult to provide a universal timeline. But you can contact us and get a free estimate of your app idea.
How to choose an AI software development company?
Choosing an AI development agency requires thorough research. Consider the company's experience in providing artificial intelligence software development services, their portfolio of AI products, and customer testimonials. An ideal AI application development company should have a strong team of AI developers, offer scalable solutions, and ensure data security. Also, check if they provide end-to-end AI product development services, including ideation, design, development, testing, and support. Lastly, assess their commitment to staying updated with the latest AI technologies and trends. It's crucial to partner with a company that aligns with your business goals.
What kind of data do I need to provide to get started with artificial intelligence app development services?
To start with AI app development services, you need to provide data relevant to your business operations to develop custom AI algorithms. This can include customer behavior data, transactional data, and operational data. We, as an artificial intelligence application development company, will use this for data analysis, robotic process automation, fraud detection, and driving business growth. The artificial intelligence development company leverages data science techniques to create AI-powered solutions to solve your business challenges and help you with repetitive tasks. Remember, the quality and quantity of data are crucial for the effectiveness of the developed AI solution.