iGPT

About iGPT

iGPT is an enterprise-grade API that provides a foundational intelligence layer for AI agents and workflows by unlocking the critical context trapped within email and communication data. At its core, iGPT solves a fundamental problem: while email is where real business happens, its unstructured, conversational, and attachment-heavy nature is where most AI systems fail. This product transforms messy email threads, documents, and spreadsheets into trusted, context-aware answers that software can act upon. It is built for developers and enterprises building agentic systems, sales intelligence platforms, customer success tools, and compliance solutions that require deep, reliable understanding of communication history. The main value proposition is simplicity and security: iGPT replaces the complex, multi-step engineering of parsing, chunking, indexing, and prompt tuning with a single, unified API call. This allows teams to ship intelligent features faster while maintaining enterprise-grade security, granular access controls, and full auditability, ensuring data never leaves company control and is never used for model training.

Features of iGPT

Unified Intelligence Endpoint

Instead of managing separate systems for retrieval, context building, and reasoning, iGPT provides one simple API endpoint. You send a natural language request, and the system handles the entire pipeline—from deeply indexing your connected email data to retrieving relevant information, shaping the optimal context window, and delivering a structured, cited response. This eliminates the need for maintaining complex prompt chains or vector databases, fundamentally simplifying development.

Deep Email and Attachment Processing

iGPT goes beyond simple text extraction. It automatically and continuously ingests emails, reconstructing full conversation threads across time and participants. It also processes attachments at a foundational level, extracting text, data, and structure from documents, PDFs, and spreadsheets. This creates a rich, indexed knowledge base from all communication artifacts, ensuring no critical detail in a contract or spreadsheet is missed.

Context Engineering Framework (CEF)

This is iGPT's built-in intelligence for optimizing how context is prepared for your Large Language Model (LLM). It automatically applies hybrid retrieval (semantic, keyword, and filters), scores and reranks results, and shapes the final context window to deliver the most relevant information. This removes the need for manual prompt engineering and tuning, providing consistent, high-quality inputs for your AI agents directly from the API.

Enterprise-Grade Security and Audit

Security is built on a zero-trust foundation. iGPT enforces OAuth-only access with Role-Based Access Control (RBAC) for every request. It maintains a principle of zero data retention, processing each inference in memory without storing inputs or outputs. Crucially, it offers a full audit trail, making every response and its source data completely traceable, which is essential for compliance and building trustworthy automated systems.

Use Cases of iGPT

Sales and Deal Intelligence

AI agents can use iGPT to autonomously monitor sales email threads and attachments to extract key insights. This includes identifying verbal agreements, tracking decision points, spotting stalled deals, and summarizing competitor mentions from ongoing conversations. This transforms email into a real-time data source for pipeline monitoring and forecasting, giving revenue teams unprecedented visibility.

Task and Follow-up Automation

Customer success and account management platforms can integrate iGPT to automatically identify action items, commitments, and follow-ups mentioned in client communications. The API can extract these tasks with clear owners and due dates, enabling automatic ticket creation in project tools like Jira or Asana, ensuring nothing falls through the cracks and improving operational efficiency.

Audit and Compliance Analysis

For legal, finance, and compliance teams, iGPT serves as a powerful tool for cross-source insight. It can process large volumes of historical communications to audit for policy violations, extract specific commitments or clauses from attached documents, and reconstruct event timelines. This provides a clear, citable audit trail from natural conversations, simplifying regulatory reviews and internal investigations.

Recruiting and HR Workflow Automation

HR systems can leverage iGPT to parse communication with candidates, hiring managers, and agencies. It can automatically extract interview feedback, candidate availability, salary discussions, and document status from email threads. This data can populate ATS fields, trigger next-step workflows, and provide recruiters with consolidated summaries, speeding up the hiring cycle.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is built with a foundational commitment to data privacy. It operates on a zero-data training policy, meaning your data is never used to train or improve any AI models. It employs strict OAuth-based Role-Based Access Control (RBAC) and processes all requests in memory with zero data retention—inputs and outputs are not stored. Data can be deployed in a cloud, hybrid, or fully private on-premise setup, ensuring it never leaves your company's controlled environment.

What is the "Context Engineering Framework" or CEF?

The Context Engineering Framework (CEF) is iGPT's core technology that replaces manual prompt engineering. When you make an API request, the CEF automatically manages the entire process of finding the right information (using hybrid retrieval), scoring its relevance, and assembling it into an optimal context window for your LLM. You select a CEF quality tier (like cef-1-normal) to balance speed and depth, letting the system handle the complexity so you get reliable, well-structured context without tuning prompts.

Can iGPT process attachments like PDFs and spreadsheets?

Yes, deep attachment processing is a fundamental feature. iGPT automatically extracts and indexes text and data from a wide range of attachments, including PDFs, Word documents, PowerPoint presentations, and spreadsheets (like Excel and Google Sheets). This means the content within these files becomes fully searchable and usable for generating answers, allowing agents to understand details from contracts, reports, or financial data embedded in emails.

How quickly can I integrate and start using iGPT?

Integration is designed to be immediate and straightforward. iGPT provides a live playground where you can connect test data sources and experiment with API requests without writing any code. For development, comprehensive SDKs (like Python) and detailed documentation are available. The unified endpoint means you can replace a complex retrieval stack with a single API call, allowing you to prototype and ship agentic features in a matter of days, not months.