Accelerate AI & Data Science
Empower your teams to seamlessly scale AI
from concept to production
Demonstrations on mcube.ai
- Hybrid Gen-AI – combining RAG & Knowledge Graphs
- Multi-modal AI
- LLM’s to capture fraud transactions
Accelerate AI & Data Science
Empower your teams to seamlessly scale AI
from concept to production
Multi-modal AI
By combining RAG with Knowledge Graphs, this hybrid search solution enables more contextual and accurate information retrieval...
The solution automates LIMS test method validation, leveraging a multimodal Large Language Model (LLM) to enhance accuracy and compliance...
Our Retrieval-Augmented Generation (RAG) product revolutionizes enterprise search by transforming unstructured data into a searchable knowledge base...
The Gen-AI-powered fabric design system merges traditional saree aesthetics with advanced AI, using GANs and Neural Style Transfer to create unique patterns...
This solution accelerates hydrocracker catalyst formulation using Generative AI, Design of Experiments (DOE), and optimization models...
In the context of generative AI, agents serve as autonomous intermediaries, handling tasks like data extraction, interpretation, decision-making, and ...
By combining RAG with Knowledge Graphs, this hybrid search solution enables more contextual and accurate information retrieval. This approach enhances search relevance and provides a deeper understanding of data relationships, perfect for advanced analytics needs in enterprises. In a recent case study involving biomedical data, we applied both RAG and knowledge-based information retrieval approaches to achieve more accurate and complete answers. This combined method is especially beneficial in use cases where the accuracy and completeness of answers are critical to the business process—much like how ensemble models improve prediction accuracy in machine learning.
Leverage our GenAI-powered test case generation tool to automate the creation and validation of test methods in Laboratory Information Management Systems. By integrating AI models and a private multimodal Large Language Model LLM, this solution significantly reduces manual effort while enhancing accuracy, consistency, and compliance across various validation steps.
The LLM plays a crucial role by interpreting diverse data sources—such as text documents, method protocols, technical standards, and structured data within LIMS—allowing it to cross-validate test methods, parameter lists, and configurations. This intelligent automation ensures that the entire process adheres to industry standards, improving operational efficiency and accuracy.
Our Retrieval-Augmented Generation (RAG) product revolutionizes enterprise search by transforming unstructured data into a searchable knowledge base. With advanced parsing, embedding creation, hosting LLMs privately and a dynamic user interface, this tool empowers businesses to extract insights from vast unstructured datasets with ease.
To battle the hallucination and boost the credibility of generated answers this TCG RAG solution also provides the references to the answers being generated. Hosting LLMs privately ensures that your data and IP is secure.
Hydrocracker catalysts are carefully optimized for selectivity vs. activity, balancing these properties to achieve high efficiency in refining processes. These catalysts typically consist of three key ingredients: amorphous Si/Al, crystalline Si/Al, and base metals. To accelerate the formulation process, a combination of Generative AI, Design of Experiment and optimization models is employed:
In the context of generative AI, agents serve as autonomous intermediaries, handling tasks like data extraction, interpretation, decision-making, and even query formulation. Unlike traditional automation, agents are intelligent—they can adapt, learn, and make decisions based on the context of the data they process.
[email-download download_id=”9583″ contact_form_id=”7713″]
[email-download download_id=”9446″ contact_form_id=”7713″]
Error: Contact form not found.
The retailer client wanted a data-driven scientific approach to unlock business potential. This platform would take into account multiple predefined business dimensions to enable its reporting and business KPI dashboard and unlock answers for critical business questions via deployment of analytics solutions on a single platform tcg mcube. With Artificial Intelligence and Machine Learning capabilities built in the platform, this project would lay the foundation of a powerful data science journey and create differentiated value.The retailer client wanted a data-driven scientific approach to unlock business potential. This platform would take into account multiple predefined business dimensions to enable its reporting and business KPI dashboard and unlock answers for critical business questions via deployment of analytics solutions on a single platform tcg mcube. With Artificial Intelligence and Machine Learning capabilities built in the platform, this project would lay the foundation of a powerful data science journey and create differentiated value.