iGPT

About iGPT

iGPT is the definitive email intelligence API built for the age of AI agents and complex enterprise workflows. It solves a critical bottleneck: while email is the central nervous system of business communication, its unstructured, threaded, and attachment-heavy nature has traditionally broken most AI applications. iGPT transforms this chaos into trusted, actionable context. It acts as a secure, auditable gateway that allows agentic systems and applications to deeply understand and leverage email data without the typical engineering overhead. By providing a single, unified API endpoint, iGPT handles the entire complexity of retrieval, context shaping, and reasoning in one call. This means developers and enterprises can instantly integrate powerful email intelligence into sales platforms, customer success tools, compliance systems, and custom AI agents, moving from raw data to context-aware answers and automations in seconds, all within a framework designed for enterprise-grade security and compliance from the ground up.

Features of iGPT

Unified Intelligence Endpoint

Replace complex, multi-step pipelines involving parsing, chunking, vector databases, and prompt chains with a single natural language API call. You send a query like "Open action items from yesterday’s board meeting," and iGPT's integrated pipeline handles retrieval, context optimization, and reasoning, returning structured, cited answers in approximately 3 seconds, even across massive and disorganized email datasets.

Deep Email & Attachment Processing

iGPT goes beyond simple email body text. It automatically and continuously indexes entire email conversations, reconstructing threads across time and participants. Crucially, it deeply processes attachments—extracting text, data, and structure from documents, PDFs, and spreadsheets—turning them into queryable knowledge. This ensures the full context of a communication is always available.

Context Engineering Framework (CEF)

This proprietary system automatically optimizes how context is selected and presented to your LLM. It employs hybrid retrieval (semantic, keyword, and filters), sophisticated reranking, and intelligent context window shaping. The result is highly relevant answers without the need for manual prompt engineering or tuning, simplifying development and improving output quality consistently.

Enterprise-Grade Security & Audit

Built for trust, iGPT enforces zero data training, ensuring your information never trains or improves external models. It features OAuth-only processing with strict Role-Based Access Control (RBAC), zero data retention where inferences happen in-memory, and provides a full, transparent audit trail for every request. Data sovereignty is maintained with flexible cloud, hybrid, and fully private deployment options.

Use Cases of iGPT

Sales & Deal Intelligence Automation

Empower sales teams and CRM systems by automatically extracting critical insights from email streams. Identify key decisions, pinpoint stalled deals, uncover competitor mentions, and track commitment timelines from ongoing conversations with clients and internal teams, providing real-time pipeline visibility and powering deal analysis agents.

Customer Success & Support Workflow Integration

Integrate iGPT into customer success platforms to automatically surface open issues, pending requests, and sentiment trends from support email threads. This allows for proactive customer care, automated follow-ups, and gives agents immediate context about a customer's entire history, drastically improving resolution times and customer satisfaction.

Task & Follow-up Automation Systems

Automatically identify action items, decisions, and owner assignments buried across meeting summaries and project update emails. This data can feed directly into task management tools like Asana or Jira, or trigger automated reminder workflows, ensuring nothing falls through the cracks and keeping projects moving forward seamlessly.

Compliance & Audit Trail Generation

Streamline compliance and legal review processes. Use iGPT to rapidly query communications for specific terms, agreements, or policy discussions across vast historical email archives and attachments. Generate accurate, source-cited reports for audits, e-discovery, or internal reviews with full transparency into the origin of every piece of information.

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 zero data training policy, meaning your data is never used to train models. It uses OAuth with Role-Based Access Control (RBAC) for all processing, ensures zero data retention by processing inferences in memory, and provides a complete audit trail. You can also choose deployment options, including a fully private setup, to keep data within your own infrastructure.

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

Generic LLMs lack deep understanding of email structure (threads, headers, relationships) and cannot process attachments natively. iGPT is a specialized engine that first deeply indexes and reconstructs the full context of emails and documents. Its Context Engineering Framework then expertly retrieves and shapes this information before reasoning, delivering precise, cited answers that a raw LLM prompt on text alone cannot achieve reliably.

How quickly is new email data available for querying?

iGPT features real-time ingestion. New messages and attachments are indexed instantly as they arrive in connected mailboxes, making them immediately available for queries. This continuous data indexing ensures that the intelligence and answers provided by your agents and workflows are always based on the most up-to-date information.

Do I need to manage vector databases or complex prompts?

No. A core value proposition of iGPT is the elimination of this infrastructure complexity. There is no need for you to parse emails, chunk text, manage vector stores, or continuously tune prompt chains. You simply connect your email sources and make natural language requests to the unified API endpoint; iGPT manages all the underlying context engineering.