Modelling

Infuse smartness in your systems

Infuse smartness in your systems

With optimized algorithms, we delve deeper into difficult data to identify great opportunities and deliver precise solutioning.

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Tooliqa's deep learning modeling service can process massive amounts of data to generate smart actions thereby helping to minimise overall running expenses by automating and simplifying processes.

Data-driven intelligence

The ability to identify patterns from vast volumes of unlabeled training data

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The ability to identify patterns from vast volumes of unlabeled training data is the core characteristic of our deep learning modeling solutions, that can drive intelligence and significant automation for any system.

Data-driven intelligence

Intelligence, scaled to your business needs

Intelligence, scaled to your business needs

We offer a comprehensive set of tools for managing, deploying, and monitoring deep learning models in custom applications.

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For conceptual applications, Tooliqa's deep learning solutioning expertise makes it super-easy for enterprises to take them to scalable platforms with enterprise-grade security and quick deployment.

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Insights into item

Machine Learning In Interior Design: Uncovering New Possibilities

Article

Machine Learning In Interior Design: Uncovering New Possibilities

Technology will speed up the work process which includes automating measurements, virtual staging and creating multiple variations of the project through selection of pre-set colors and styles which can also be customized simply. Additionally, the choice of furniture and the furnishing options becomes more flexible and convenient.

Small Data In Machine Learning- Importance, Applications And Scope

Article

Small Data In Machine Learning- Importance, Applications And Scope

When it comes to machine learning, small data can be just as important as big data. In many cases, small data sets can be more representative of the real world and provide more accurate results. Machine learning algorithms are often designed to work with large data sets, but they can also be applied to small data sets. The key is to find the right features to train the algorithm on. For example, if you are trying to predict the weather, you would want to use features like temperature, humidity, and wind speed. By using the right features, you can train a machine learning algorithm on small data and still get accurate predictions.

An Introduction To Deep Tech

Article

An Introduction To Deep Tech

Deep Tech differs from traditional tech as deep tech startups are usually the combination of technology and scientific talent that work towards a common goal.

Case Studies

Making sense of open-end research responses - Case Study

Tooliqa created a cutting-edge generic text analytics engine using modelling and NLP techniques that could recognise the most crucial topics and subtopics in the given large textual data.

Making sense of open-end research responses - Case Study

Hydro Case Study

Using in-house understanding of the Energy industry and advanced technologies relevant for this case, Tooliqa combined the knowledge around immersive experiences, IOT and technology integrations to develop a Digital Twin of a hydro power plant with real time IOT data and walkthrough capability on-screen & in VR.

Hydro Case Study

Bringing automation to market research - Case Study

Tooliqa produced bespoke ML models and created custom domain datasets to automate the entire market research process by combining deep learning, NLP, and data science methodologies. It resulted in the development of a solid AI-driven solution with potential for disruption.

Bringing automation to market research - Case Study

Let's Work Together

Learn how Tooliqa can help you be future-ready with advanced tech solutions addressing your current challenges