VIDIZMO AI Hub

ChatGPT is a general-purpose chatbot with no access to your data. Intelligence Hub is an enterprise AI platform that builds on your organization's actual content -- documents, videos, audio, images -- using retrieval-augmented generation so every answer is grounded in your data with source citations.

Off-the-shelf AI lacks access to proprietary data, compliance controls, and deployment flexibility. Intelligence Hub connects to your content repositories, provides configurable confidence thresholds, runs on-premises or air-gapped when required, and delivers answers traceable to specific documents and timestamps.

Yes. Intelligence Hub's agentic RAG ingests your documents, videos, and media to create domain-specific chatbots that answer questions using your actual content. Multi-agent architecture routes questions to specialized child bots -- HR queries to an HR agent, IT questions to an IT agent -- for domain-specific accuracy.

Organizations reduce time employees spend searching for information, automate repetitive document processing tasks, and improve compliance through automated PII detection. IT teams handle fewer routine support tickets when employees can query a knowledge bot for instant, cited answers.

Legal teams use it for evidence search and case preparation. IT departments deploy knowledge bots for self-service support. HR uses it for policy question answering. Compliance teams automate PII detection. Any department drowning in unstructured content benefits from AI-powered search and automation.

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Agentic RAG combines large language models with retrieval from your data, adding stateful multi-step workflows, multi-agent hierarchies, conditional branching, and human-in-the-loop checkpoints. Unlike basic chatbots, it reasons across multiple steps and retrieves from five content modalities simultaneously.

Every response from Intelligence Hub includes source citations pointing to the specific documents, video timestamps, or content the answer draws from. Confidence scoring flags uncertain responses, and configurable thresholds trigger automatic decline or human escalation when confidence drops below acceptable levels.

Yes. The multi-agent hierarchy uses a master bot that analyzes user intent and routes to specialized child bots. Each child bot has its own system prompt, scoped knowledge base, and configuration. Users interact with one interface while questions route automatically to the correct domain.

Intelligent gap detection flags unanswerable queries and notifies administrators about topics needing more training data or content. Configurable confidence thresholds automatically decline responses or escalate to human agents when certainty drops below the set level.

Four channels: Web Widget (embeddable in any website), Google Chat bot, Slack bot, and VIDIZMO portal. Organizations embed the bot where employees already work instead of requiring them to switch to a separate AI application.

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A visual drag-and-drop graph editor lets you build multi-step AI workflows without writing code. Six node categories cover AI processing, data transformation, flow control (IF/Loop/Switch/Parallel), triggers, human review, and integration. Workflows are versioned and deployable across portals.

Yes. Each AI node can use a different LLM -- GPT-4o for summarization, Claude for analysis, a self-hosted model for classification -- within the same workflow. This multi-model approach optimizes each task for cost, accuracy, and speed without committing to a single provider.

Intelligence Hub combines OCR, layout detection, classification, data extraction, and PII detection into a single automated pipeline. Organizations processing large document volumes -- intake forms, invoices, contracts, regulatory filings -- can consolidate fragmented tools into one governed platform.

VIDIZMO AI Hub  processes a wide range of document types with layout detection handling complex structures including tables, multi-column formats, and embedded images.

• PDFs
• Word documents
• Spreadsheets
• Presentations
• Images
• Scanned documents (via OCR)
• Handwritten text (via ICR)
• Documents in Perso-Arabic scripts

Yes. Human-in-the-loop checkpoints can be placed at any workflow step. When the AI processes content below a confidence threshold or encounters flagged content types, the workflow pauses and routes to a human reviewer for verification before proceeding.

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Yes. Self-hosted LLMs through Ollama and VLLM run entirely within customer infrastructure with zero outbound connections. The same workflow designer, agent tools, and RAG capabilities work with self-hosted models for classified or data-sovereign environments.

Intelligence Hub supports FedRAMP, CJIS, FIPS 140-2, and Defense Cloud (IL4/IL5) deployments. On-premises and air-gapped options ensure sensitive data never leaves government-controlled infrastructure. All AI processing runs locally with no external API calls when self-hosted models are used.

VIDIZMO AI Hub  supports multiple LLM providers concurrently, and Azure AI Foundry provides access to 1,200+ models for selection and fine-tuning.

• Azure OpenAI (GPT-4o)
• Google Gemini
• Anthropic Claude
• Ollama (self-hosted)
• VLLM (self-hosted)

Yes. Eight embedding providers are supported, with local options for on-premises and air-gapped deployments.

• Anthropic
• Google
• HuggingFace
• Infinity
• Ollama
• OpenAI/Azure OpenAI
• VLLM API
• VLLM self-hosted

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LangChain is a developer framework requiring engineering effort for every deployment. Intelligence Hub is a production-ready platform with no-code workflow design, multi-agent management, built-in content management, security controls, and compliance certifications that LangChain does not include.