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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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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IngestAI
Turn your knowledge base into a ChatGPT-like context-aware bot. Upload your docs: technical documentation, educational program materials, product/services description, etc. Choose your favorite app and create a bot within minutes, with no code, and no technical skills needed. Get precise AI/ChatGPT-generated answers for questions about relevant materials. Free plan up to 3 bots, 1K requests, 10K tokens, 10Mb dataset size. IngestAI enables you to quickly build and deploy ChatGPT-like bots that answer queries based on uploaded knowledge-based (technical documentation, educational program content, company knowledge base, etc). Upload your knowledge base to IngestAI, choose your messaging platform (Slack, Discord, Telegram, etc), and let OpenAI generate accurate and relevant answers about your product. We encourage our new users to fist spend 2 minutes creating their first bot (that's exactly how long it takes) on Telegram.
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