iGPT

About iGPT

iGPT is an enterprise-grade email intelligence API designed to power AI agents and automated workflows. It solves a critical gap in AI application: the inability to reliably access, understand, and leverage the rich, unstructured data within email communications and attachments. Where most AI systems break down when faced with the complexity of email threads, documents, and historical context, iGPT provides a secure, unified gateway. It transforms messy email data into trusted, context-aware answers that are ready for reasoning and automation. Built for developers and enterprises, its core value proposition is delivering deep email context through a single API call, eliminating the need for teams to build and maintain complex pipelines for parsing, chunking, indexing, and prompt tuning. With its focus on security, auditability, and performance, iGPT enables businesses to confidently deploy intelligent agents for sales, customer success, operations, and compliance, turning email into a structured source of actionable intelligence.

Features of iGPT

Unified Intelligence Endpoint

Replace complex multi-step retrieval systems with one simple API call. Send a natural language query, and iGPT's pipeline automatically handles retrieval, context shaping, and reasoning across all connected email data and attachments. This eliminates the need to manage separate systems for parsing, vector stores, and prompt chains, dramatically simplifying integration and maintenance.

Deep Email & Attachment Processing

iGPT goes beyond simple text extraction. It deeply indexes entire email conversations, automatically reconstructing threads across time and participants. It also processes attachments—including documents, PDFs, and spreadsheets—to extract text, data, and structure, ensuring all communication context is available for querying and insight generation.

Context Engineering Framework (CEF)

This proprietary system optimizes how context is prepared and delivered to your LLM. It employs hybrid retrieval (semantic + keyword + filters), scores and reranks results, and automatically shapes the context window for maximum relevance. This ensures high-quality, cited answers without requiring manual prompt engineering or tuning from the user.

Enterprise-Grade Security & Compliance

iGPT is built with strict security principles: Zero Data Training ensures your data never trains external models. Role-Based Access Control (RBAC) with OAuth enforces permissions per request. Zero Data Retention means inputs and outputs are processed in memory and never stored. Full audit trails provide transparency for every query, supporting compliance requirements.

Use Cases of iGPT

Decision and Deal Intelligence

Automatically extract critical business signals from ongoing email conversations. Identify key decisions, uncover stalled deals, and surface risks in sales pipelines or board communications. This enables agents to monitor deal health, provide executive summaries, and trigger alerts for follow-up actions without manual oversight.

Task and Follow-Up Automation

Transform email-based requests and commitments into structured tasks. Automatically identify action items, assign owners, and set due dates from meeting summaries or project updates. This streamlines workflow for project management, customer support, and internal operations, ensuring nothing falls through the cracks.

Customer Success and Support

Provide AI agents with full context from a customer's email history and attached support tickets or documents. This allows for personalized, informed responses, proactive churn risk identification, and automated summarization of case history, drastically improving resolution times and customer experience.

Audit and Compliance Analysis

Enable thorough and rapid audits by querying across vast volumes of historical email and attachment data. Find all communications related to a specific policy, contract clause, or regulatory requirement. Generate cited reports with source links, simplifying compliance checks and internal investigations.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is designed with a zero-trust security model. Your data is never used to train models (Zero Data Training). All processing is done in-memory with Zero Data Retention, meaning no inputs or outputs are stored. Access is strictly controlled via OAuth and RBAC, and you can choose deployment options from cloud to fully private VPC to keep data within your control.

What is the Context Engineering Framework (CEF)?

CEF is iGPT's core intelligence layer that manages the entire process from query to answer. It replaces manual prompt chains by automatically performing hybrid retrieval, scoring results, reconstructing email threads, and optimizing the context window for your LLM. You can select different CEF quality tiers (e.g., cef-1-normal) to balance speed, cost, and depth of analysis for your use case.

How quickly does iGPT index new emails and data?

iGPT provides real-time ingestion. New messages and attachments are indexed instantly as they arrive in connected mailboxes, ensuring that the intelligence layer always has access to the most current information. This enables live agents and workflows to act on up-to-the-minute data.

Can I try iGPT before committing?

Yes. iGPT offers a live playground where you can connect test data sources, experiment with different queries, and try various CEF tiers. You can get started with $10 in free credits without requiring a credit card, allowing you to evaluate the API's capabilities and integration ease firsthand.