iGPT

iGPT is an advanced email intelligence API engineered to transform unstructured email data into structured, actionable insights for enterprise workflows and AI agents. It directly addresses the critical gap where traditional AI models fail: understanding the complex, contextual, and often messy nature of real-world email communication, which includes long threads, multiple participants, and diverse attachments. The platform serves a diverse range of industries, including customer support, legal, finance, and operations, by providing a secure, auditable gateway for AI systems to access and comprehend email data. Its core value proposition lies in its unified endpoint that replaces the need for complex, multi-step retrieval-augmented generation (RAG) pipelines. Organizations can bypass the burdens of parsing, chunking, indexing, and prompt tuning, instead sending a single natural language request to receive a context-aware, cited answer in seconds. With a foundational commitment to security—featuring zero data training, zero data retention, and full audit trails—iGPT empowers teams to automate tasks, enhance decision-making, and build sophisticated agents that operate with the full context of an organization's communication history.

Unified Intelligence Endpoint

iGPT consolidates the entire process of email intelligence into a single API call. This eliminates the need for developers to build and maintain separate systems for retrieval, context shaping, and reasoning, a common challenge noted in complex RAG implementations. A user simply submits a natural language query, and the API handles deep indexing, hybrid retrieval, and optimized context preparation automatically, returning a structured response with citations in approximately 3 seconds to the first token.

Deep Contextual Understanding & Thread Reconstruction

The API goes beyond simple keyword matching by semantically understanding email content and its relational context. It automatically reconstructs fragmented email threads across time, participants, and related attachments, rebuilding the complete narrative of a conversation. This capability is crucial for accurate understanding, as critical information is often distributed across multiple messages and replies, a nuance that standard search fails to capture.

Advanced Attachment Processing

iGPT extracts and indexes text, data, and structural information from a wide array of attachments, including documents, PDFs, and spreadsheets. This processing is performed in the context of the surrounding email thread and its participants, allowing the system to answer questions about contract clauses, invoice details, or report figures as they were discussed, turning static files into queryable knowledge assets.

Enterprise-Grade Security & Compliance Framework

Built for regulated industries, iGPT enforces a strict security model. It guarantees zero data training or retention, with all inferences processed in memory. Access is controlled via OAuth-only processing with Role-Based Access Control (RBAC), and every response includes a full audit trail, linking answers directly to source messages. This ensures data sovereignty and compliance with stringent data protection standards.

Intelligent Email Assistants & Copilots

Organizations can build AI agents that draft, prioritize, summarize, and act on email with full historical and contextual awareness. For support teams, this means a copilot that can instantly reconstruct a customer's entire issue history across long email chains and attachments, enabling faster, more informed responses and reducing handle times significantly.

Automated Workflow & Task Orchestration

iGPT automates the extraction of actionable items from communication streams. It can automatically parse email threads to identify decisions, action items, owners, and deadlines, then feed this structured data into project management tools like Asana or Jira. This transforms unstructured conversations into tracked tasks and approvals, flagging stalled items for follow-up.

CRM Enrichment & Deal Intelligence

Sales and account management teams can use iGPT to extract critical deal momentum, customer sentiment, and decision rationale directly from email exchanges. The API can summarize key points from lengthy negotiation threads or identify all pending approvals mentioned in communications with a client, providing real-time insights that keep CRM data accurate and actionable.

Compliance Auditing & Legal Discovery

For legal, finance, and compliance departments, iGPT provides a powerful tool for tracing feedback, approvals, and contractual agreements back to their original source emails and attachments. This creates a verifiable audit trail, streamlining internal reviews, e-discovery processes, and ensuring that corporate decisions are fully documented and easily retrievable.

How does iGPT's performance compare to building a custom RAG pipeline?

iGPT is designed to outperform and simplify custom RAG pipelines. While a custom pipeline requires significant engineering effort for parsing, chunking, embedding, vector store management, and prompt optimization, iGPT delivers a production-ready solution through a single API call. Benchmarks indicate it provides ~200ms retrieval and ~3s to first token across large email datasets, a performance level that typically requires extensive tuning in a custom setup.

What makes email a uniquely difficult data source for AI?

Email is inherently unstructured, conversational, and context-dependent. Critical information is dispersed across long threads with multiple participants, nested replies, and various file attachments. Traditional AI and search tools struggle with thread reconstruction, understanding tone shifts, and connecting data in attachments to the discussion about them. iGPT is specifically engineered to solve these "last-mile" context problems that break general-purpose LLMs.

Is my company's email data secure and private with iGPT?

Yes, iGPT is built with a foundational principle of data security. It employs a zero-data retention policy, meaning your inputs, prompts, and outputs are never stored after processing. The company also adheres to a strict zero-data training policy, ensuring your proprietary communications are never used to train or improve any AI models. All access is governed by OAuth and RBAC, keeping data under your organization's control.

How quickly can I integrate iGPT and start getting value?

Integration is designed for immediacy. iGPT provides a live playground for testing, comprehensive SDKs (including Python), and connectors for platforms like LangChain. Developers can connect email sources, test queries with different Context Engineering Framework (CEF) tiers, and receive structured, cited answers without any upfront data pipeline development, allowing teams to prototype and ship agents in days, not months.