iGPT

iGPT instantly gives AI agents trusted context from messy email data.

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Published on:

November 13, 2025

Pricing:

iGPT application interface and features

About iGPT

In the chaotic world of enterprise software, email remains the final frontier—a messy, unstructured battleground where most AI tools spectacularly fail. iGPT is the definitive, purpose-built solution to this problem. It's not just another API wrapper; it's an intelligence layer that transforms the raw, nuanced data of email threads and attachments into structured, actionable, and trustworthy context for AI agents and automated workflows. Think of it as the critical middleware that finally allows your systems to understand the human conversations where real business decisions are made. Its core proposition is breathtakingly simple: a single, unified API call that obliterates the entire fragile, labor-intensive stack of parsing, chunking, indexing, and endless prompt engineering typically required to work with email. Built with uncompromising enterprise-grade security—featuring zero data retention, full audit trails, and granular RBAC—iGPT empowers developers to deploy confident, context-aware agents for sales, support, and operations without ever sacrificing compliance or control. If you're serious about building the next generation of autonomous workflows, this is the non-negotiable tool you've been waiting for.

Features of iGPT

Unified Intelligence Endpoint

This is iGPT's killer feature. Instead of managing a complex pipeline of vector databases, chunking logic, and multi-step prompt chains, you send one natural language request. The API handles retrieval, context shaping, and reasoning in a single, elegant pipeline, returning responses ready for automation in ~200ms. It’s a developer experience masterpiece that replaces weeks of integration work with a single curl command.

Deep Email & Attachment Processing

iGPT doesn't just skim subject lines. It deeply indexes entire email conversations, automatically reconstructing threads across time and participants. More impressively, it processes attachments—PDFs, spreadsheets, documents—extracting text, data, and structure to understand the full context of a conversation. This holistic view is what separates real intelligence from simple keyword matching.

Enterprise-Grade Security & Compliance

In a world rightfully paranoid about data leaks, iGPT's security model is a standout. It operates on a zero data retention policy, processing each inference in memory without storing inputs, prompts, or outputs. Combined with OAuth-only processing, granular Role-Based Access Control (RBAC), and a full audit trail, it allows enterprises to leverage powerful AI without the compliance nightmare.

Context Engineering Framework (CEF)

This is the secret sauce behind the quality of responses. iGPT's CEF automatically optimizes context windows for your LLM, applying hybrid retrieval (semantic + keyword + filters) that is scored and reranked in one call. It delivers cited answers linked directly back to source emails and files, providing not just an answer but the verifiable evidence behind it, eliminating the need for manual prompt tuning.

Use Cases of iGPT

Autonomous Email Assistants

Build agents that do more than just draft replies. With full conversational and attachment context, these assistants can prioritize inboxes, summarize critical threads, suggest actions, and even auto-generate tasks or calendar invites—all while understanding the nuanced history and relationships between participants.

Customer Support Copilots

Revolutionize support by instantly rebuilding a customer's entire story. iGPT can analyze long, messy email chains, track tone shifts, and cross-reference attached documents (like invoices or error logs) to give support agents a complete, chronological history in seconds, drastically reducing resolution time and improving customer satisfaction.

Workflow & CRM Automation

Automatically extract decisive momentum from communication chaos. Transform email threads into structured tasks, approvals, deadlines, and CRM updates. Flag stalled deals or pending decisions by analyzing communication patterns and extracting key details like owners, dates, and commitments directly from the conversation.

Compliance & Audit Trail Generation

For regulated industries, iGPT is a game-changer. It creates a verifiable, citable audit trail by tracing feedback, approvals, contractual terms, and operational rationale directly back to the original email and attachment source. This turns unstructured inboxes into a searchable, compliant record of decision-making.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is architected for the enterprise with a foundational commitment to privacy. It employs a strict zero data retention policy, meaning your emails, prompts, and outputs are never stored post-processing. All inferences run in memory. It uses OAuth for authentication and enforces granular Role-Based Access Control (RBAC) on every request. Furthermore, your data is never used to train or improve any models.

What makes iGPT different from using a generic LLM API on email text?

A generic LLM API sees raw, messy text. iGPT provides deep, structured context. It automatically reconstructs email threads, processes attachments, and uses its Context Engineering Framework (CEF) to perform hybrid retrieval and optimal context shaping before the LLM even sees the query. This results in faster, more accurate, and fully cited answers without you building and maintaining a complex retrieval pipeline.

What types of email sources and attachments can it connect to?

iGPT is designed to connect to standard enterprise email sources. It deeply indexes emails from connected accounts. For attachments, it has robust processing capabilities for common business documents including PDFs, Word documents, Excel spreadsheets, and PowerPoint presentations, extracting both text and structural data to inform its understanding.

Is there a way to test iGPT before committing?

Absolutely. iGPT offers a comprehensive live playground where you can connect test data sources, experiment with different CEF quality tiers, and make real API calls to see the results. They even provide $10 in free credits to get started, with no credit card required, which is a fantastic and low-risk way to evaluate its power firsthand.

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