iGPT

About iGPT

iGPT is an enterprise-grade email intelligence API designed to bridge the critical gap between AI's potential and the complex reality of business communication. It acts as a secure, auditable gateway for AI agents and automated workflows to access, understand, and leverage the rich context trapped within email inboxes and attachments. The core value proposition is its ability to transform unstructured, messy email data—a domain where most AI systems falter—into trusted, context-aware, and actionable intelligence through a single, unified API call. Built for developers and enterprises, iGPT eliminates the traditional burdens of AI implementation: there's no need for manual parsing, chunking, maintaining vector stores, or complex prompt engineering. Instead, it offers a complete pipeline that handles real-time ingestion, hybrid retrieval, thread reconstruction, and context shaping automatically. This allows organizations to confidently deploy agentic systems for sales, customer success, operations, and compliance, ensuring decisions are informed by the full narrative of communication while maintaining stringent security, granular access controls, and comprehensive audit trails.

Features of iGPT

Unified Intelligence Endpoint

iGPT consolidates the entire complexity of context retrieval into one simple API call. Instead of managing multiple endpoints for indexing, searching, and prompting, developers send a single natural language request. The system internally orchestrates retrieval, sophisticated context shaping, and reasoning, returning structured, cited answers ready for automation. This dramatically reduces development time and maintenance overhead, allowing teams to focus on building agentic logic rather than data plumbing.

Advanced Context Engineering Framework (CEF)

At the heart of iGPT is a proprietary system that intelligently processes communication data. It goes beyond simple keyword matching by employing hybrid retrieval (semantic + keyword + filters), automatically reconstructing fragmented email threads across time and participants, and deeply indexing attachment contents from documents, PDFs, and spreadsheets. The framework then optimizes and shapes this context for your LLM, eliminating the need for manual prompt tuning and ensuring responses are relevant and grounded in source material.

Enterprise-Grade Security & Governance

iGPT is built with a zero-trust security model from the ground up. It guarantees zero data training, meaning customer data is never used to improve models. It enforces strict, OAuth-only Role-Based Access Control (RBAC) for every request and maintains a full audit trail for complete transparency. The platform operates with zero data retention by default, processing inferences in memory without storing inputs or outputs, making it ideal for highly regulated industries.

Real-Time Data Synchronization

The platform ensures that AI agents operate on the most current information available. It provides continuous, real-time indexing of new emails and attachments, meaning the context provided to the API is always up-to-date. This live synchronization is critical for workflows like deal monitoring or customer support, where decisions must be based on the latest communication, not a stale data snapshot from hours or days ago.

Use Cases of iGPT

Decision and Deal Intelligence

Sales and leadership teams can automate the extraction of critical insights from ongoing communication. iGPT can continuously analyze email threads to surface key decisions, identify stalled deals, pinpoint emerging risks, and track action items from meetings. This transforms scattered conversations into a structured intelligence feed for CRM updates, pipeline monitoring, and proactive deal management, ensuring nothing falls through the cracks.

Task and Follow-Up Automation

iGPT enables the creation of autonomous agents that manage routine communication tasks. It can automatically identify action items, assign owners, and summarize follow-ups from customer inquiries or internal discussions. This is particularly powerful for customer success platforms and HR systems, where it can triage requests, generate summaries, and ensure timely responses without human intervention.

Audit and Compliance Analysis

For legal, finance, and compliance teams, iGPT serves as a powerful audit tool. It can process vast volumes of historical email data to reconstruct timelines, verify communications, and ensure policy adherence. The platform's cited responses and full audit trail provide a transparent record of how information was retrieved, which is essential for internal reviews and regulatory compliance reporting.

Cross-Source Insight Aggregation

Enterprises often struggle with information silos. iGPT can act as a unifying intelligence layer across different communication data sources within an organization. By connecting multiple mailboxes or data streams, it provides a consolidated, contextual view, enabling agents to answer complex questions that require synthesizing information from various teams, projects, or time periods.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is architected for the enterprise with a foundational commitment to data sovereignty. It employs a zero data training policy, ensuring your data never feeds any model training pipeline. All inferences are processed in memory with zero data retention, and access is strictly controlled via OAuth and RBAC. Data can be deployed in a cloud, hybrid, or fully private on-premise/VPC setup, ensuring it never leaves your company's control if required.

What is the Context Engineering Framework (CEF)?

The Context Engineering Framework is iGPT's proprietary technology stack that automates the complex steps required to turn raw email data into optimized LLM context. It handles real-time ingestion, hybrid retrieval, intelligent thread reconstruction, attachment processing, and automatic context window optimization. Users can select different CEF tiers (e.g., cef-1-normal) to balance speed, cost, and depth of analysis for their specific use case.

Do I need to manage a vector database or infrastructure?

No. A core benefit of iGPT is its fully managed infrastructure. The service handles all aspects of data indexing, storage, retrieval, and optimization. There is no need for you to parse emails, chunk text, maintain vector stores, or tune embedding models. You simply connect your data sources and use the unified API, with iGPT managing the entire backend complexity.

How quickly can I integrate and start testing iGPT?

Integration is designed for immediacy. iGPT provides a comprehensive SDK, a live playground for testing requests and responses without code, and detailed documentation. You can connect email sources, test different queries, and experiment with CEF tiers to see results in minutes. The platform offers initial credits to start building, allowing for rapid prototyping and proof-of-concept development.