iGPT

iGPT gives your team a secure API to turn messy email data into trusted, actionable answers.

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Published on:

November 13, 2025

Pricing:

iGPT application interface and features

About iGPT

iGPT is the definitive email intelligence API designed for modern, collaborative enterprises. It serves as a secure and auditable gateway, empowering teams to build agentic and AI-powered systems that can truly understand and leverage the rich context within email and communication data. In a world where email remains the central nervous system for real work, iGPT solves the critical problem of fragmentation and inaccessibility that breaks most AI tools. It transforms messy, unstructured email conversations and attachments into trusted, context-aware answers that are ready for reasoning and automation. By providing a single, unified endpoint, iGPT eliminates the complex engineering burden of parsing, chunking, indexing, and prompt tuning. This allows development and product teams to focus on building powerful workflows and collaborative agents that enhance productivity, drive decisions, and unlock insights from the communication data that matters most, all while maintaining the highest standards of enterprise security and compliance.

Features of iGPT

Unified Intelligence Endpoint

iGPT revolutionizes development by consolidating the entire retrieval and reasoning pipeline into one simple API call. Instead of managing separate systems for parsing, vector storage, and prompt chaining, your team sends a single natural language request. This unified approach handles retrieval, context shaping, and reasoning in one seamless pipeline, dramatically accelerating development cycles and fostering synergy between your data and your AI applications.

Deep Email & Attachment Indexing

The platform automatically and deeply indexes the full scope of your communication data. This includes not just email body text, but also the intricate reconstruction of entire threads across time and participants. Crucially, iGPT processes attachments—extracting text, data, and structure from documents, PDFs, and spreadsheets—ensuring no critical information is siloed. This creates a comprehensive, real-time knowledge base that your entire team's agents can draw upon.

Context Engineering Framework (CEF)

iGPT intelligently optimizes how context is prepared for your LLM through its Context Engineering Framework. It employs hybrid retrieval, blending semantic understanding with keyword matching and filters, then scores and reranks results in one call. This automated context shaping means your team spends zero time on manual prompt tuning or window optimization, ensuring every query receives the most relevant, concise, and useful context automatically.

Enterprise-Grade Security & Audit

Built for collaborative trust, iGPT provides end-to-end security that lets enterprises deploy with confidence. It features granular, OAuth-only Role-Based Access Control (RBAC), ensuring each team member and system has appropriate data access. With a strict zero-data training and retention policy, full audit trails, and flexible deployment options (cloud, hybrid, private), it ensures your team's sensitive communications remain completely under your company's control and compliant with internal standards.

Use Cases of iGPT

Decision and Deal Intelligence

Teams in sales and leadership can leverage iGPT to autonomously extract critical insights from ongoing conversations. The API can identify key decisions, pinpoint emerging risks, and flag stalled progress across email threads and attached documents. This powers collaborative sales workflows, enhances pipeline monitoring, and fuels deal analysis agents, giving the entire revenue team a unified, real-time view of deal health and necessary actions.

Task and Follow-up Automation

iGPT automates the tedious work of tracking action items and commitments scattered across communications. It can automatically identify tasks, assign owners, and extract due dates from meeting summaries and email threads. This capability seamlessly integrates into customer success platforms, project management tools, and recruiting systems, enabling teams to stay perfectly aligned without manual overhead, ensuring nothing falls through the cracks.

Cross-Source Insight Synthesis

For teams dealing with information across multiple conversations and stakeholders, iGPT acts as a unifying intelligence layer. It can connect the dots across disparate email threads, departmental communications, and attached reports to provide comprehensive answers. This is invaluable for strategic planning, audit preparations, and compliance checks, fostering synergy by breaking down information silos and presenting a consolidated view.

Customer Support and Success Enhancement

Support and success teams can use iGPT to instantly surface the full context of any customer interaction. By querying the entire history of emails and attached tickets or documents, agents get immediate, cited answers about past issues, preferences, and promises. This empowers teams to provide faster, more personalized, and consistent service, turning your communication history into a powerful tool for customer retention and satisfaction.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is built on a foundation of enterprise-grade security principles. It operates with a zero-data training policy, meaning your data is never used to train models. It also enforces zero data retention for inferences, processing everything in memory without storage. All access is governed by OAuth-only Role-Based Access Control (RBAC), and you have deployment flexibility from a fully-hosted cloud option to a fully private on-premise setup, ensuring data never leaves your required environment.

What is the Context Engineering Framework (CEF)?

The Context Engineering Framework is iGPT's intelligent system for optimizing how information is retrieved and presented to the LLM for a query. It automates the complex tasks of hybrid retrieval (semantic + keyword), scoring, reranking, and context window optimization. This means development teams do not need to manually tune prompts or engineer retrieval chains; they can select a CEF quality tier (like cef-1-normal) and let iGPT handle the rest, ensuring high-quality, relevant context every time.

Can iGPT process attachments, and what formats are supported?

Yes, deep attachment processing is a core capability. iGPT automatically extracts text, data, and structural information from a wide variety of document types embedded within emails. This includes common formats like PDFs, Word documents, spreadsheets (e.g., Excel, Sheets), and presentation files. This ensures the valuable data within attachments is fully indexed and searchable, making it part of the unified intelligence available to your agents.

How quickly can we integrate iGPT and start testing?

Integration is designed for team velocity. iGPT provides an immediate path to testing with a live playground and comprehensive SDKs (including Python) and MCP (Model Context Protocol) support. You can connect data sources, test different queries and CEF tiers, and see real responses without writing production code. The API's unified endpoint simplifies development, allowing teams to move from concept to a working prototype in their workflow extremely rapidly.

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