iGPT

iGPT is an enterprise-grade email intelligence API designed to solve a critical and costly problem: the failure of standard AI to understand the complex, unstructured data within business email communications. Email is where real work happens, containing vital context across threads, attachments, and participant dynamics, yet this richness is often lost on AI agents. iGPT acts as a secure and auditable gateway, enabling AI agents and automated workflows to access, comprehend, and leverage this buried context. Built for developers and enterprises, it serves teams building agentic systems, sales intelligence platforms, customer success tools, and compliance solutions that require deep, real-time insight from communication data. Its core value proposition is delivering trusted, context-aware answers from messy email data through a single, unified API call. This eliminates the traditional engineering heavy-lifting of parsing, chunking, indexing, and endless prompt tuning. Instead, iGPT offers a streamlined pipeline that handles intelligent retrieval, context shaping, and reasoning automatically. With a foundational focus on end-to-end security, granular access controls, and comprehensive audit trails, iGPT empowers businesses to deploy powerful, context-aware AI agents with confidence while maintaining strict data governance and compliance standards.

Unified Intelligence Endpoint

Replace complex, multi-step retrieval architectures with a single API call. iGPT consolidates the entire process—from understanding your natural language query to retrieving relevant data across emails and attachments, shaping the optimal context, and delivering a reasoned response—into one streamlined pipeline. This eliminates the need to manage separate systems for parsing, vector stores, and prompt chains, dramatically accelerating development.

Deep Email & Attachment Processing

iGPT goes beyond simple email text. It automatically and deeply indexes the full content of email conversations, including reconstructing threads across time and participants. Crucially, it processes attachments—extracting text, data, and structure from documents, PDFs, and spreadsheets—to understand the complete context of a communication, ensuring no critical information buried in a file is missed.

Context Engineering Framework (CEF)

This proprietary system automatically optimizes how context is retrieved and presented to your LLM. It employs hybrid retrieval (semantic, keyword, and filters), scores and re-ranks results, and shapes the context window specifically for your query. This means developers get high-quality, relevant context without the manual, iterative work of prompt engineering and tuning, leading to more accurate and reliable agent outputs.

Enterprise-Grade Security & Governance

iGPT is built with strict compliance and data control in mind. It features a zero-data training policy, ensuring your data is never used to improve models. It offers Role-Based Access Control (RBAC) with OAuth enforcement, processes data in memory with zero retention, and provides a full audit trail for every request. This allows enterprises to leverage powerful AI while keeping data securely within their control.

AI-Powered Email Assistants

Build intelligent agents that can draft, prioritize, summarize, and act on email with full historical and attachment context. Instead of agents working in a vacuum, they can understand the entire conversation thread, participant sentiments, and referenced documents to generate highly relevant and actionable responses, turning your inbox into an automated productivity hub.

Customer Support & Success Copilots

Empower support teams with agents that instantly rebuild the complete customer story. By analyzing long email chains, attachments, and subtle tone shifts, iGPT provides copilots with a unified view of the issue history, past resolutions, and outstanding commitments. This leads to faster, more personalized support and higher customer satisfaction.

Sales & CRM Intelligence Automation

Automatically extract crucial deal intelligence directly from email threads. iGPT can identify key decisions, action items, owners, deadlines, and changes in deal momentum that are often communicated informally over email. This data can be pushed to CRM systems, giving revenue teams real-time, context-rich insights without manual entry.

Compliance & Audit Trail Generation

Automate the tracking of approvals, feedback, and rationale buried in email communications. iGPT can trace specific decisions or statements back to their source messages and attachments, creating a verifiable audit trail. This is essential for legal, financial, and regulatory compliance, saving countless hours of manual email discovery.

How does iGPT handle data privacy and security?

iGPT is architected for enterprise security. It operates on a zero-data training and zero-data retention policy, meaning your data is never used to train models and is not stored after processing. All inferences happen in memory. It enforces strict OAuth-based Role-Based Access Control (RBAC) and provides full audit trails, ensuring data never leaves your company's control and every access is traceable.

What types of email sources and attachments can it connect to?

iGPT can connect to enterprise email systems like Google Workspace and Microsoft 365 via secure OAuth. It deeply indexes email content and threads. For attachments, it processes a wide range of formats, including PDFs, Word documents, Excel spreadsheets, and PowerPoint presentations, extracting text and structural data to understand the full context of the communication.

Do I need to manage vector databases or complex prompt chains?

No. A core benefit of iGPT is that it abstracts away this infrastructure complexity. You do not need to set up parsing, chunking, vector stores, or design intricate prompt chains. The unified API and its built-in Context Engineering Framework handle retrieval, context optimization, and reasoning automatically based on your simple natural language query.

What is the Context Engineering Framework (CEF)?

The Context Engineering Framework (CEF) is iGPT's intelligent retrieval and reasoning pipeline. It automatically performs hybrid search (combining semantic and keyword techniques), filters, re-ranks results, and optimally shapes the context window for your specific query and chosen LLM. It delivers high-quality context so you don't have to manually tune prompts, ensuring faster and more reliable outcomes.