Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates.
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Document360
Document360 is an AI-powered Knowledge base platform designed to streamline knowledge management in organizations. It helps teams create, manage, and publish content effortlessly, ensuring clarity and accessibility for users.
Use Cases
Knowledge Base for Customers and Teams:
Offer a seamless self-service experience with AI search, auto-tagging, and analytics to boost productivity and reduce support queries.
IT Documentation (Including API Docs)
Simplify technical documentation with markdown support, version control, and API-friendly features like code embedding and AI-driven insights.
Standard Operating Procedures (SOPs)
Maintain consistent workflows with centralized SOPs, AI content suggestions, and easy updates for team alignment.
User Manuals
Deliver user-friendly manuals with customization, localization, and AI tools for faster, polished content.
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Multimodal
Multimodal builds and manages secure, integrated, and tailored AI automation for complex workflows in financial services. Our enterprise-grade AI agents are trained on company data for greater precision and work together as your digital workforce. Our AI Agents process documents, query databases, power chatbots, make decisions, and generate reports. They automate end-to-end workflows and self-learn to improve over time. Unstructured AI is an Extract, Transform, Load (ETL) layer to process complex, unstructured documents for RAG or AI applications. Document AI is trained on your schema to extract, label, and organize data from loan applications, claims, PDF reports, and more. Conversational AI serves as your in-house chatbot that accesses unstructured internal data to provide customer and employee support. Database AI accesses company databases to answer queries, interpret datasets, and provide actionable insights.
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Supametas.AI
Supametas.AI is a platform that transforms unstructured data into structured formats suitable for use in large language models (LLMs) and retrieval-augmented generation (RAG) systems. The platform is designed to simplify data collection, construction, and preprocessing for industry-specific datasets, making it easier for companies to bypass complex data cleaning processes. Users can convert data from multiple sources such as APIs, URLs, local files, images, audio, and video into JSON and Markdown formats, which are then seamlessly integrated into LLM RAG knowledge bases.
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