iGPT

iGPT is an advanced email intelligence API engineered specifically for enterprises and agentic workflows, fundamentally transforming how organizations access and utilize their email communications. It addresses a critical gap in the AI landscape, where email—the primary medium for real business work—often remains a siloed and unstructured data source that breaks conventional AI tools. By leveraging state-of-the-art AI capabilities, iGPT provides a secure and efficient gateway to distill meaningful, context-aware insights from vast amounts of complex email data, including lengthy conversations and embedded attachments like PDFs, documents, and spreadsheets. Its core value proposition is a unified, single API call that replaces the entire complex pipeline of parsing, chunking, indexing, and prompt tuning required by traditional RAG (Retrieval-Augmented Generation) systems. This makes it an indispensable tool for developers building intelligent agents and for industries where compliance, data integrity, and operational efficiency are paramount. With features like real-time ingestion, hybrid retrieval, and full citation of sources, iGPT enables enhanced decision-making, sophisticated workflow automation, and robust audit trails, all while maintaining enterprise-grade security with zero data training and retention policies.

Unified Intelligence Endpoint

iGPT consolidates the entire complexity of email intelligence into a single, natural language API call. This unified endpoint seamlessly handles retrieval, context shaping, and reasoning in one integrated pipeline, eliminating the need for developers to manage separate systems for parsing, vector stores, or complex prompt chains. Users simply send a query, and the API returns a structured, contextual answer with citations, dramatically reducing development time and maintenance overhead for building email-aware applications.

Advanced Context Engineering Framework (CEF)

The platform employs a sophisticated Context Engineering Framework that automatically optimizes how information is retrieved and presented to large language models. It performs hybrid retrieval combining semantic, keyword, and filter-based searches, which are then intelligently scored and reranked. The framework also automatically reconstructs full email threads across time and participants, shapes the optimal context window for the LLM, and ensures every piece of information in the response is traceable back to its source email or attachment.

Enterprise-Grade Security & Compliance

iGPT is built with a foundational commitment to data security and privacy. It operates on a zero-data training and zero-data retention policy, ensuring customer data is never used to train models or stored post-processing. It supports OAuth-only authentication with strict Role-Based Access Control (RBAC) and provides comprehensive audit trails. This architecture guarantees that sensitive email communications remain under the company's control, making it suitable for highly regulated industries like finance, legal, and healthcare.

Real-Time Ingestion & Attachment Processing

The system continuously and instantly indexes new email messages and attachments as they arrive, ensuring that the intelligence provided is always based on the most current data. Its powerful attachment processing engine deeply extracts text, data, and structural information from a wide array of file formats, including documents, PDFs, and spreadsheets. This allows iGPT to understand and reason over the complete content of an email thread, not just the body text, unlocking insights buried in complex documents.

Intelligent Email Assistants & Copilots

Developers can build sophisticated AI agents that draft, prioritize, summarize, and act on email with full historical and contextual understanding. These assistants can manage inboxes, flag urgent items, suggest replies based on past correspondence, and automate routine communication tasks, significantly boosting productivity for individuals and teams who rely heavily on email for daily operations.

Automated Workflow & Project Management

iGPT can automatically transform email threads into structured tasks, deadlines, approvals, and calendar events. By analyzing conversation threads and attachments, it can identify action items, assign owners, track project momentum, and flag stalled discussions or missed deadlines, seamlessly bridging communication data with project management tools and CRMs.

Customer Support & Relationship Management

Support copilots powered by iGPT can rebuild the complete customer story by analyzing long, complex email chains, tone shifts, and all related attachments. This provides support agents with immediate, full-context understanding of a customer's issue history. For sales teams, CRM agents can extract deal decisions, ownership changes, and key discussion points directly from email threads to keep CRM records accurate and actionable.

Compliance Auditing & Legal Discovery

In regulated environments, iGPT serves as a powerful tool for compliance and legal e-discovery. It can trace feedback, approvals, contractual terms, and decision-making rationale directly back to the original email conversations and attached documents. This creates a verifiable and searchable audit trail, simplifying compliance reporting, internal audits, and legal discovery processes.

How does iGPT handle data privacy and security?

iGPT is architected with enterprise-grade security as a core principle. It operates on a strict zero-data training and zero-data retention model, meaning your data is never used to train AI models, improve services, or stored after processing. All inferences are handled in memory. Access is controlled via OAuth and Role-Based Access Control (RBAC), and every API request generates a full audit trail, ensuring data sovereignty and compliance with stringent regulatory standards.

What makes iGPT different from building my own RAG system for emails?

Building a custom RAG system for emails requires significant engineering effort: parsing complex MIME data, chunking text, managing vector databases, tuning retrieval algorithms, reconstructing threads, and continuously optimizing prompts. iGPT abstracts all this complexity into a single API call. It handles real-time ingestion, hybrid retrieval, context optimization, and citation automatically, allowing developers to focus on building their application logic rather than maintaining a fragile data pipeline.

What types of email sources and attachments does iGPT support?

iGPT can connect to and deeply index data from major enterprise email providers and protocols. Its advanced attachment processing engine supports a wide range of file formats, including but not limited to PDFs, Microsoft Office documents (Word, Excel, PowerPoint), plain text files, and spreadsheets. It extracts not just raw text but also understands data structure and context within these files in relation to the email thread.

Can I control the quality and speed of the responses?

Yes, iGPT offers configurable quality tiers through its Context Engineering Framework (CEF). Users can select different CEF levels (e.g., cef-1-normal) in their API request to balance response latency, cost, and depth of analysis. This allows for optimization based on the use case, whether it requires sub-second retrieval for simple queries or deeper, more comprehensive reasoning for complex analytical tasks.