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CogniCraft specializes in building large scale analytics solutions using Gen-AI, Machine Learning and Big Data processing capabilities of their goInfinitix platform. Entity de-duplication and Gen-AI based multi-modal Knowledge Management are two areas in which they specialize.

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Capabilities

Big Data Analytics

Big data analytics to get actionable insights from ultra large volumes of data

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AI/ML Model Training & MLOps

Model training and MLOps (Machine Learning Operations) to ensure that models are continuously monitored, maintained, and updated

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Generative AI applications

State-of-the-art AI and Machine Learning techniques for unsupervised learning, decision support, scoring and prediction, and knowledge retrieval

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AI Guardrails & Data Security

Enhanced security and compliance across the platform

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The InfinitiX Advantage

User-Friendly: Low-code/no-code, role-based access, configurable privileges
Data Access and Processing: Configurable resource connections and a rich library of data profiling tools
Pipeline and API Creation: UI-based data processing, application API, and data access API configuration
Advanced AI/ML Models: Extensive library of AI/ML models and graph analysis models
Gen-AI and Multimodal Capabilities: Natural language SQL queries, LLM registration, and multilingual support
Enhanced Query and Summarization: Video/audio summarization, contextual search, and configurable query builders

Industry Solutions

Entity Deduplication
Entity de-duplication is basic requirement for many business problems, where exact or approximate matches must be found within a very large set of entities.
Gen-AI Powered Knowledge Management System
Given the ever increasing volume of information, organizations are finding it increasingly difficult to extract, store and retrieve the right information

Frequently Asked Questions

InfinitiX is a low-code/no-code cognitive platform designed for the ingestion, management, observability, and analytics of ultra-large data volumes. It also supports the building of Gen-AI applications using insights gained from data analytics.

InfinitiX can process structured, semi-structured, and unstructured information, including numerical, textual, image, video, and audio data.

The platform provides big data analytics, Gen-AI capabilities for multimedia content analytics, and an easy-to-use low-code environment for building AI-powered software entities.

InfinitiX supports bulk data ingestion, streaming data ingestion via Apache Kafka, data profiling, transformation, and storage in registered resources. It also offers a rich library of data transformation and profiling functions.

Yes, InfinitiX supports near real-time ingestion and processing of streaming data from various sources.

InfinitiX includes a comprehensive library of AI/ML models, feature engineering functions, an ANN (Approximate Near Neighborhood) analytics engine, and tools for building Gen-AI agents and copilots.

InfinitiX provides a low-code/no-code environment for developing data processing pipelines, application APIs, data access APIs, and visualization pipelines. It also supports the integration of Spark applications and Docker environments.

InfinitiX allows for natural language-based interaction, LLM registration through the UI, configurable document processing pipelines, multilingual support, and advanced capabilities for video and audio summarization, indexing, and contextual search.

InfinitiX offers robust data security features, including role-based access control, configurable resource connections, and secure API deployment for data access and application integration.

InfinitiX is versatile and can be applied across various industries such as healthcare, finance, government, telecommunications, e-commerce, and more, for applications like entity deduplication, fraud analytics, identity management, and recommendation engines.
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CogniCraft specializes in building large scale analytics solutions using Gen-AI, Machine Learning and Big Data processing capabilities of their goInfinitix platform. Entity de-duplication and Gen-AI based multi-modal Knowledge Management are two areas in which they specialize.

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