AI/ML Development Services

AI/ML Development Services

Power up your enterprise goals with AI/ML

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Unlock Opportunities with Intelligent AI/ML Development Services

Digital disruption and proliferation has multiplied communication and engagement in businesses. As a competitive asset, data is key to differentiating your company from the rest of the pack. Our big data consulting and engineering services can help your company improve decision-making, accelerate innovation, enhance the customer experience, and drive operational efficiency.

Based on the data, we build custom AI models that simplify decision-making. Outsourcing big data analysis to artificial intelligence, prevents human error, improve business efficiency and cut costs. Our deep technological expertise in Machine Learning and Artificial Intelligence development services can help you make precise predictions, gain deeper insights from your data, minimize operational expenses, and enhance customer experience. At TA, we are committed to providing the best-in-class Artificial Intelligence and Machine Learning development solutions to assist you at every level of your digital transformation journey.

Our AI and ML Development Services

For more than two decades, we have been at the forefront of artificial intelligence and machine learning development, with experience in AI/ML, predictive analytics and Natural Language Processing (NLP). Our innovative development team designs intelligent AI/ML solutions that can take your business to the next level providing out-of-the-box solutions to problems, automate tasks, and achieve superior outcomes. Our in-depth practical knowledge of the most recent AI/ML technologies enables us to provide a comprehensive suite of AI/ML services to provide scalable custom solutions to empower clients to tap into new market segments, to streamline your business functions and add intelligence to your enterprises workflow.

Geospatial Data Analytics

Leveraging open-source satellite data sources to analyze and study water depletion in water bodies, coastal erosion, changes in vegetation, and urbanization over long periods of time we can offer new insights relating to climate change. We can make use of the expanding Open Data Cube project to help with reaching solutions relating to geospatial analytics.

3D Motion Capture

Motion capture has gained interest in many fields from both game industry to sport analysis. We can utilize a deep neural network trained to extract 3D joint estimations from a 2D video to solve the business's need for reflecting markers and pricey multi-camera systems. Our implementation of motion capture includes taking a monocular video of a person and translating that person's movement onto an avatar in the UNITY game engine.

Image Classification

Image analytics capabilities help derive insights with accurate recognition of objects in images and videos. We help classify and process images for detailed analysis with the appropriate placement of image objects into segments.

Chatbot Development Services

A conversational chatbot that uses artificial intelligence and natural language processing to understand user intent, analyze patterns in a conversation and finally use all this to address customer queries.

Facial Recognition

A method of identifying or verifying the identity of an individual using their face. Attendance marking can be done based on a single image. Entry time and exit time can be identified by individuals

Recommendation Engine

Data filtering tool using machine learning algorithms to recommend the most relevant items to a particular user or customer based on the principle of finding patterns in consumer behavior data.

NLP-based Sentimental Analysis

Contextual mining of text which identifies and extracts subjective information in source material, and helps a business to understand the social sentiment of their brand, product or service while monitoring online conversations such as tweets.

Object Recognition

Object recognition is a subfield of computer vision, artificial intelligence, and machine learning that seeks to recognize and identify the most prominent objects (i.e., people or things) in a digital image or video with AI models. Image recognition is also a subfield of AI and computer vision that seeks to recognize the high level contents of an image.

Interpreting IoT data in Real-Time

IoT devices and sensors can capture gigabytes of data within a few hours, analyzing and making sense of this large and quick influx of data becomes ever more important for organizations from every sector. We can offer our expertise in handling such data not limited to but including satellite data.

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How We Work







Technology Stack


Our dedicated and passionate team are skilled in the next-generation cutting edge tools and technologies, can assist your business in achieving its objectives and enhancing its efficiency.

Industries We Serve


Healthcare
Sports
Pharma
Financial
Retail and E-Commerce
Entertainment and Gaming
Logistics and Transportation
Manufacturing
Key Projects
  • 3D Motion Capture with Monocular Camera

    3D Motion Capture with Monocular Camera

    The goal was to capture a dancer's monocular motion. Our motion capture approach uses a monocular video of a person to create an avatar in UNITY. The motion capture transformed a person's movements into a UNITY avatar tracking and analyzing object or person movement.

FAQ

AI is basically a way to give machines human-like intelligence. As the words "artificial" and "intelligence" show, "artificial" means "made by humans" and "intelligence" means "to think or understand." So, AI basically means teaching machines how the human brain works and what it can do. AI can be found in things like Google's predictions, Uber's autopilot messages, and so on.

Machine Learning is the subset of Artificial Intelligence that lets machines learn and get better on their own, without any help from humans. The recommendations you get on music and videos on streaming apps are a very good example of ML, virtual personal assistants like Alexa, Siri are also good examples of ML.

Deep learning is a type of Machine Learning, which is based on the way the human brain filters through information. DL helps a computer sort through and filter information so that it can predict and classify it. The caption generators, image analysis tools that you often use are examples of DL.

Python is the best and most used programming language for AI and ML due to its ease of use and the fact that it has well-written libraries such as Tensorflow and pytorch.

"Artificial intelligence" is one of the most popular buzzwords you may have heard. AI is the process by which machines learn to think like people. AI is based on the idea that machines can mimic human intelligence and do tasks in the same way that humans do. This lets machines learn from experience, adapt to new information and do tasks just like humans.

Artificial Intelligence is an umbrella discipline that encompasses everything that makes machines smarter, so it's not surprising that people frequently use the terms interchangeably. AI is the branch of computer science that enables machines to mimic human intelligence autonomously. Machine Learning, on the other hand, refers to an AI system that can automatically self-learn from the past by intaking data and learning things that would be difficult for humans to learn without explicit programming. The purpose of machine learning is to enable machines to learn from data and provide accurate results. Facebook's auto-tagging suggestions and Google's search algorithms are some applications of ML.

You must live under a rock if you haven't heard of AI, ML, and data science. With the rise of Industry 4.0, these terms are becoming very common. Artificial intelligence, machine learning, and data learning are all related terms that belong to the same field. Let's look at them one by one.

Artificial intelligence is a broad field of computer science that gives machines intelligence that is similar to that of humans. The main goal of AI is to make systems that can work on their own, like the human brain.

Machine learning is based on the idea that you can give machines data and let them learn on their own without any help from a person. Machine learning is all about computers finding patterns in the data they are given, just like people can find patterns in data sets.

Data science is an umbrella term for the study of data systems and processes, with the goal of keeping track of data and figuring out what it all means.

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