iGPT

About iGPT

iGPT is the essential enterprise-grade API that transforms unstructured email and communication data into actionable, context-aware intelligence for AI agents and workflows. It solves the critical problem where most AI fails: understanding the complex, messy reality of email threads, attachments, and ongoing conversations where real business decisions happen. Built for developers and enterprises, iGPT delivers a secure, auditable gateway that deeply indexes communication data, providing a unified natural language interface. Its core value proposition is eliminating the immense engineering burden of parsing, chunking, indexing, and prompt tuning. With a single API call, teams can retrieve precise answers, extract structured data, and automate follow-ups, all with full citations to source emails and documents. This enables organizations to confidently deploy agentic systems for sales, customer success, operations, and compliance, knowing their data is processed with end-to-end security, granular access controls, and zero data retention policies.

Features of iGPT

Unified Intelligence Endpoint

iGPT replaces complex multi-step retrieval-augmented generation (RAG) pipelines with one simple API call. You send a natural language query, and the system handles retrieval, context shaping, and reasoning internally. This eliminates the need to manage separate systems for parsing, vector stores, and prompt chains, drastically reducing development time and maintenance overhead for production AI applications.

Deep Email & Attachment Indexing

The platform automatically and continuously ingests and indexes emails and all attachment data, including documents, PDFs, and spreadsheets. It goes beyond simple text extraction to understand structure and data within files. Crucially, it reconstructs full email threads across time and participants, providing the complete conversation context needed for accurate and reliable AI responses.

Context Engineering Framework (CEF)

iGPT intelligently optimizes the context window for your LLM calls automatically. Its hybrid retrieval combines semantic, keyword, and filter-based search, which is then scored and reranked to surface the most relevant information. This sophisticated context shaping happens behind the scenes, delivering high-quality answers without any manual prompt engineering or tuning required.

Enterprise-Grade Security & Audit

Built with necessity-grade security, iGPT ensures full data control and compliance. It enforces OAuth-only processing with Role-Based Access Control (RBAC), provides a comprehensive audit trail for all requests, and maintains a strict zero-data retention policy where inputs and outputs are never stored. Your data is never used to train models, giving enterprises the trust required to deploy AI on sensitive communication data.

Use Cases of iGPT

Decision and Deal Intelligence

Extract critical business signals from ongoing communication streams. Automatically identify decisions, action items, risks, and stalled progress from sales negotiations, board updates, or partner discussions. This powers automated pipeline monitoring, deal analysis agents, and executive reporting, ensuring no crucial insight is buried in inboxes.

Task and Follow-Up Automation

Automate the tedious work of tracking action items and next steps from meetings and email threads. iGPT can identify owners, due dates, and open loops, enabling the automatic creation of tasks in project management tools, sending reminder emails, and ensuring accountability without manual oversight.

Customer Success and Support

Provide customer success platforms with deep context from all past customer interactions. Support agents and AI copilots can instantly get a summarized history, understand unresolved issues, and reference specific attached documents, leading to faster resolution times and more personalized, informed service.

Audit and Compliance Analysis

Streamline compliance reviews and internal audits by enabling natural language queries across vast repositories of company communications. Quickly surface all emails and attachments related to a specific project, clause, or regulatory topic, with full citations for verifiable and transparent reporting.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is built on a foundation of enterprise-grade security. It employs a zero-data training guarantee, meaning your data is never used to improve any AI models. All inferences are processed in memory with zero data retention—inputs and outputs are not stored. Access is controlled via OAuth and strict RBAC, and every API call generates a full audit trail for complete transparency.

What is the Context Engineering Framework (CEF)?

The Context Engineering Framework (CEF) is iGPT's proprietary pipeline that manages the entire process from your query to a contextual answer. It handles hybrid retrieval (semantic + keyword), scoring, reranking, and intelligent context window optimization for the LLM. This framework is what allows you to get precise, cited answers from a single API call without managing the underlying complexity.

Can iGPT process attachments, and what file types are supported?

Yes, deep attachment processing is a core capability. iGPT automatically extracts text, data, and structure from a wide range of attachments within emails, including documents (like .docx), PDFs, presentations, and spreadsheets. This data is indexed alongside the email text, making the full content of your communications searchable and usable for AI reasoning.

What deployment options are available?

iGPT offers flexible deployment to meet different security and infrastructure needs. Options include a fully hosted Cloud service for quick setup, a Hybrid model where your data stays within your Virtual Private Cloud (VPC), and Fully Private deployments on-premises or in your VPC for maximum control. This allows enterprises to choose the architecture that fits their compliance requirements.