iGPT

iGPT is the definitive email intelligence API engineered for the enterprise, transforming chaotic communication data into a structured, actionable asset. It directly addresses the core challenge where most AI fails: the complex, messy reality of email where critical decisions, tasks, and approvals actually happen. iGPT provides a secure, auditable gateway for AI systems to access, comprehend, and leverage the full context of email conversations and their attachments. Its power lies in a single, unified API call that replaces the entire fragile stack of parsing, chunking, indexing, and prompt engineering. Organizations can instantly connect their email sources, from which iGPT automatically performs deep indexing, thread reconstruction, and intelligent data extraction. This enables teams to build and ship intelligent agents and workflows with confidence, extracting precise, cited answers and insights in seconds. Designed for sectors like sales, customer support, recruiting, and compliance, iGPT delivers the speed, security, and scalability required to turn email from a data black hole into a driver of productivity and informed decision-making.

Unified Intelligence Endpoint

Replace complex, multi-step AI pipelines with a single API call. iGPT's unified endpoint seamlessly handles retrieval, context shaping, and advanced reasoning in one streamlined process. You send a natural language query and receive a structured, context-aware response with citations, eliminating the need to manage separate systems for parsing, vector stores, or prompt chains. This drastically reduces development time and maintenance overhead.

Real-Time Ingestion & Hybrid Retrieval

iGPT indexes new messages and attachments instantly, ensuring your AI agents always operate on the most current data. Its hybrid retrieval engine combines semantic understanding, keyword matching, and configurable filters, all scored and re-ranked in a single operation. This delivers highly accurate and relevant results from large volumes of "messy" email data in approximately 200ms, providing the speed necessary for real-time applications.

Automated Context Engineering

The platform handles all the complex heavy lifting of context preparation automatically. It reconstructs full email threads across time and participants, processes attachments (PDFs, spreadsheets, documents) to extract text and data, and optimally shapes the context window for your LLM. This means no manual prompt tuning or data preprocessing is required, allowing developers to focus on building functionality, not engineering context.

Enterprise-Grade Security & Compliance

Built with zero-trust principles, iGPT ensures your data remains under your control. It offers Zero Data Training, meaning your data is never used to train models. It features OAuth-only processing with strict Role-Based Access Control (RBAC), Zero Data Retention for inferences, and provides a full audit trail. This secure-by-design infrastructure allows enterprises to deploy with confidence, meeting strict regulatory and compliance requirements.

Intelligent Email Assistants

Build autonomous agents that can draft, prioritize, summarize, and act on email with full historical and attachment context. These assistants can manage inboxes, flag urgent items, suggest replies, and automate routine communication tasks, dramatically increasing individual and team productivity by handling the cognitive load of email management.

Customer Support Copilots

Empower support teams with agents that instantly rebuild the complete customer story. By analyzing long email chains, tone shifts, and all related attachments, the copilot provides support reps with immediate, cited answers about past issues, commitments, and sentiment, enabling faster, more informed, and personalized customer resolutions.

Workflow & CRM Automation

Automatically transform email threads into structured data and actionable workflows. Extract decisions, action items, owners, and deadlines directly from sales or project communications to update CRM records, create tasks in project management tools, and flag stalled approvals. This turns conversational momentum into operational clarity.

Compliance & Audit Trail Generation

Automate the monitoring and documentation of critical communications for legal, financial, and regulatory compliance. iGPT can trace feedback, approvals, contractual terms, and rationale back to the original email and attachment sources, creating a verifiable and searchable audit trail that simplifies audits and risk management.

How does iGPT handle data privacy and security?

iGPT is built on an enterprise-grade security foundation. It adheres to a strict Zero Data Training policy, meaning your data is never used to improve any AI models. All inferences are processed in memory with Zero Data Retention, and access is controlled via OAuth with Role-Based Access Control (RBAC). Your data never leaves your company's control, and every response is fully traceable.

What is the "unified endpoint" and how does it simplify development?

The unified endpoint means you interact with iGPT through one single API call (like /ask). You don't need to build and maintain separate systems for data ingestion, parsing, chunking, embedding, vector database management, and complex prompt chaining. You simply send a user query, and iGPT internally manages the entire retrieval-augmented generation (RAG) pipeline, returning a final, shaped, and cited answer.

Can iGPT process email attachments?

Yes, attachment processing is a core capability. iGPT automatically extracts text, data, and structural information from a wide range of attachments within emails, including PDFs, Word documents, spreadsheets, and presentations. It integrates this extracted data with the context of the email thread, allowing queries to return insights based on both the conversation and the attached files.

How quickly can I integrate and start using iGPT?

Integration is designed for speed. You can begin immediately using the live playground to test queries with sample data or your own connected sources. With comprehensive SDKs (Python, etc.), MCP server support, and detailed documentation, developers can typically make their first productive API call and start building agents within minutes, not days or weeks.