iGPT

About iGPT

Imagine a world where your AI agents don't just skim the surface of your communications but dive deep into the complex, messy reality of email—the true hub of business. This is the world iGPT unlocks. iGPT is an enterprise-grade Email Intelligence API designed specifically for the age of agents and automated workflows. It acts as a secure, intelligent gateway, transforming sprawling email threads and buried attachments into trusted, context-aware answers that drive action. Built for developers and enterprises, iGPT eliminates the monumental engineering burden of parsing, chunking, indexing, and maintaining vector stores for communication data. With a single, natural language API call, it handles everything from real-time ingestion and hybrid retrieval to thread reconstruction and context shaping. The result? Teams can finally build reliable AI agents that understand the full narrative of a deal, the precise action items from a meeting, or the subtle risks hidden in customer support threads, all while operating within a fortress of end-to-end security, granular RBAC, and comprehensive audit trails. iGPT doesn't just access your email; it understands it, turning the chaos of communication into your most valuable strategic asset.

Features of iGPT

Unified Intelligence Endpoint

Forget orchestrating complex chains of API calls for retrieval, context building, and reasoning. iGPT's revolutionary single endpoint accepts a simple natural language query and orchestrates the entire pipeline internally. It performs deep retrieval across your indexed emails and attachments, intelligently shapes the optimal context window for your LLM, and delivers a structured, cited response ready for automation. This unified approach slashes development time and complexity, letting you focus on building agentic logic instead of data plumbing.

Deep Context Engineering Framework

iGPT moves far beyond simple keyword matching. Its core is a sophisticated Context Engineering Framework (CEF) that automatically reconstructs the full story within your communications. It seamlessly stitches together email threads across time and participants, processes attachments (PDFs, docs, spreadsheets) to extract text and data, and employs a hybrid retrieval system blending semantic understanding with keyword precision. This ensures agents receive the complete, nuanced picture needed for accurate decision-making.

Enterprise-Grade Security & Compliance

Built for the most stringent enterprise environments, iGPT is architected with a zero-trust philosophy. Your data is never used to train models, and with Zero Data Retention, all inputs and outputs are processed in memory, never stored. Strict OAuth-based Role-Based Access Control (RBAC) governs every request, and a full, immutable audit trail provides complete transparency. Whether deployed in cloud, hybrid, or fully private models, data sovereignty and compliance are guaranteed.

Real-Time Data Synchronization

In the fast-paced world of business, yesterday's data is obsolete. iGPT ensures your agents operate on live intelligence with continuous, real-time indexing. As new emails arrive and attachments are sent, they are instantly processed and integrated into the searchable knowledge base. This means every query—whether about a deal that just progressed or a customer issue that emerged minutes ago—returns answers based on the very latest information, keeping workflows decisively current.

Use Cases of iGPT

Decision and Deal Intelligence

Sales and leadership teams often lose critical insights buried in lengthy email chains. iGPT empowers agents to autonomously analyze ongoing conversations, extracting clear decisions, identifying potential risks, and flagging stalled progress. This transforms email into a live intelligence feed for pipeline monitoring, deal analysis, and strategic oversight, ensuring no crucial detail is ever missed and momentum is maintained.

Task and Follow-Up Automation

Manually tracking action items from meetings and discussions is a relentless, error-prone task. iGPT automates this entirely. An agent can be tasked with querying recent communications to surface all open action items, their owners, and due dates, then automatically populate project management tools or send reminder notifications. This creates a self-maintaining system for accountability and execution.

Customer Success and Support Optimization

Customer success platforms can integrate iGPT to give agents deep context before every interaction. By instantly retrieving the entire history of a customer's issues, past solutions, and communicated sentiments from support tickets and emails, agents can provide hyper-personalized, efficient, and proactive support, dramatically improving resolution times and customer satisfaction.

Audit and Compliance Assurance

For regulated industries, maintaining a clear record of communications and decisions is paramount. iGPT enables compliance officers to deploy agents that can audit vast corpuses of email data against specific regulatory queries. It can efficiently surface all communications related to a particular topic, client, or decision, generating cited reports that streamline internal reviews and external audits.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is built on a foundation of enterprise-grade security principles. It employs a strict Zero Data Training and Zero Data Retention policy, meaning your data is never used to improve models and is not stored after processing. All inferences happen in memory. Access is controlled via OAuth-only Role-Based Access Control (RBAC), and every action is logged in a full audit trail. Flexible deployment options, including private VPC or on-premise setups, ensure data never leaves your required environment.

What types of email sources and attachments can iGPT process?

iGPT is designed to connect to and deeply index data from major enterprise email providers. It automatically processes a wide array of attachment types, including PDF documents, Word files, PowerPoint presentations, and Excel spreadsheets, extracting their textual content, data, and structural information to make them fully searchable and citable within the context of the email conversation.

Do I need to manage vector databases or complex prompt engineering?

No, that's the core value of iGPT. The platform completely abstracts away the underlying infrastructure complexity. There is no need for you to parse emails, chunk text, manage vector stores, or continuously tune retrieval prompts. You simply connect your data sources and make API calls. iGPT's unified endpoint handles all retrieval, context shaping, and optimization internally.

How fast is the iGPT API, and what does latency depend on?

iGPT is engineered for high performance in enterprise scenarios. The system typically achieves ~200ms for the initial retrieval phase across large datasets. Time to first token for the final reasoned response is typically around ~3 seconds. Latency can be influenced by the complexity of the query, the volume of data being searched, and the selected Context Engineering Framework (CEF) quality tier, which allows you to balance speed and depth of analysis.