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What is iAgent?
iAgent, powered by iGPT, is an AI context and intelligence platform that helps businesses give AI agents a deeper understanding of workplace information.
It connects with sources such as emails, documents, attachments, and other business tools to turn scattered company data into structured, reasoning-ready context.
iAgent covers several parts of an AI-powered workflow, including real-time data ingestion, attachment processing, hybrid retrieval, email thread reconstruction, context shaping, and cited AI responses.
iAgent Plans and Pricing
iAgent Use Cases
AI Email Assistants: Businesses can use iAgent to build AI assistants that understand complete email conversations instead of processing individual messages in isolation. By reconstructing threads and retrieving relevant context, agents can help summarize conversations, identify important details, and support more informed responses.
Sales and CRM Workflows: Sales teams can use iAgent to give AI agents context from emails, documents, and customer interactions. This can help agents prepare account summaries, surface important conversations, identify follow-up information, and support CRM-related workflows.
Customer Support Copilots: Support teams can use iAgent to provide AI copilots with relevant customer conversations and business information. This helps agents retrieve useful context when assisting support representatives with customer questions and ongoing issues.
Document and Attachment Intelligence: Important business information is often buried inside PDFs, spreadsheets, presentations, and email attachments. iAgent can process these sources and make their content available to AI agents, helping teams retrieve and reason over information that would otherwise remain scattered across files.
Workflow Automation: Operations teams can use iAgent as a context layer for AI-powered workflows. Agents can understand conversations, responsibilities, deadlines, and related documents before taking or recommending actions, making automation more context-aware.
Who is iAgent ideal for?
Sales and Revenue Teams: iAgent is ideal for sales teams that need AI agents to understand customer emails, account conversations, documents, and historical context. It can help surface relevant information, prepare account summaries, and support more informed sales and CRM workflows.
Customer Support Teams: Support teams can use iAgent to give AI copilots access to relevant customer conversations, documents, and attachments. This allows agents to retrieve useful context and assist representatives in handling customer questions and ongoing issues more efficiently.
Operations Teams: Businesses looking to automate complex internal workflows can use iAgent as a context layer for AI agents. By understanding conversations, responsibilities, deadlines, and related documents, agents can support workflows that require more than simple prompt-based automation.
Finance, Legal, and HR Teams: Teams dealing with large volumes of workplace communications and documents can use iAgent to retrieve and reason over relevant business information. Its context and citation capabilities are useful when users need to trace AI-generated answers back to underlying sources.
Developers and AI Teams: Developers building custom AI agents, copilots, and intelligent business applications can use iAgent to provide their systems with structured workplace context. This reduces the complexity of independently building data ingestion, retrieval, email-thread understanding, and context-management infrastructure.
iAgent Key Features
Real-Time Data Ingestion
Email Thread Reconstruction
Attachment Processing
Hybrid Retrieval
Context Shaping
Source-Cited Answers
Unified Context API
Structured AI Outputs
Role-Based Access Control (RBAC)
Cloud, Hybrid & Private Deployment Options
Glean: A workplace AI and enterprise search platform that helps teams build AI assistants and agents grounded in company knowledge.
Dust: An enterprise AI platform for creating custom AI assistants and agents that can work with internal company data and tools.
LlamaIndex: A popular framework for connecting AI applications and agents with enterprise data, documents, APIs, and other knowledge sources.
LangChain: One of the best-known development frameworks for building LLM-powered applications and agents with retrieval, tools, memory, and workflow capabilities.
Unstructured: A data-processing platform focused on transforming complex documents and unstructured enterprise data into formats that AI and RAG applications can use.
Choosing the right iAgent alternative depends on whether you need enterprise search, agent development, data ingestion, document processing, or broader context engineering. iAgent stands out for its focus on turning complex email threads and attachments into structured, cited context that AI agents can reason over.
iAgent alternatives and competitors
Why we can get iAgent
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