iGPT

About iGPT

iGPT is an email intelligence API designed to solve a critical problem: making the vast, messy world of email data accessible and useful for AI. While email is where real business happens—containing crucial decisions, tasks, and attachments—most AI systems struggle to understand its complex, threaded, and unstructured nature. iGPT bridges this gap. It acts as a powerful, secure gateway that allows AI agents and enterprise workflows to access, understand, and leverage email and communication data with ease. Its core value is simplicity and trust. Instead of building complex pipelines for parsing, chunking, and indexing emails yourself, you send a single, natural language request to iGPT's unified endpoint. It handles everything—from real-time ingestion and attachment processing to intelligent retrieval and context shaping—delivering trusted, context-aware answers with citations back to the source. Built with enterprise-grade security, zero data retention, and full audit trails, iGPT is for developers and companies who want to confidently build AI-powered sales, customer success, compliance, and operational agents without compromising on data security or spending months on data engineering.

Features of iGPT

Unified Intelligence Endpoint

Instead of managing multiple services for retrieval, context building, and reasoning, iGPT provides one simple API call. You send a natural language question, and the API internally runs the entire pipeline—deep retrieval across emails and attachments, intelligent context shaping, and structured reasoning—to return a ready-to-use answer. This eliminates the need for complex prompt chains and vector store management, letting you focus on building your application.

Deep Email & Attachment Indexing

iGPT automatically and continuously ingests and indexes your connected email data. It doesn't just read subject lines and bodies; it deeply processes content, reconstructs full conversation threads across time and participants, and extracts text, data, and structure from all attachments like PDFs, documents, and spreadsheets. This creates a rich, searchable knowledge base from your communication history without any manual setup.

Cited, Context-Aware Responses

Every answer provided by iGPT is built for trust and action. Responses are delivered in your specified format (like JSON for easy automation) and always include citations that link directly back to the source emails and attachments. This transparency allows users and systems to verify information instantly and provides the necessary context for AI agents to reason accurately and take the next step.

Enterprise-Grade Security & Compliance

iGPT is built with strict security principles from the ground up. It offers Zero Data Retention, meaning your inputs and outputs are never stored after processing. It employs Role-Based Access Control (RBAC) for every request and provides a full audit trail for complete transparency. With flexible deployment options (Cloud, Hybrid, or Fully Private), your data never has to leave your control, ensuring compliance with the strictest enterprise policies.

Use Cases of iGPT

Sales & Deal Intelligence

Automate the extraction of key insights from sales conversations. iGPT can identify next steps, decision points, risks, and stalled deals buried in email threads with clients and internal teams. This powers AI agents for pipeline monitoring, automated deal analysis, and ensuring critical follow-ups are never missed, helping sales teams move faster and smarter.

Customer Success & Support Automation

Enhance customer success platforms by giving AI agents deep context from past customer interactions. iGPT can instantly surface relevant communication history, support tickets mentioned in emails, and specific attachment details, enabling agents to provide personalized, informed support and automate routine follow-up tasks efficiently.

Task & Follow-Up Management

Transform scattered email conversations into structured action items. By simply asking "What are my open action items?" or "What did we agree on in yesterday's project update?", iGPT scans all relevant emails and attachments to return a clear, organized list of tasks, owners, and due dates, perfect for integrating into project management tools.

Audit & Compliance Monitoring

Simplify compliance reviews and internal audits. iGPT enables agents to cross-reference communications and document versions across large email datasets quickly. Auditors can ask natural language questions to trace decision-making processes, verify policy acknowledgments, and ensure all communications meet regulatory requirements without manual digging.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is designed with a zero-trust security model. It offers Zero Data Retention, so your data is processed in memory and never stored post-request. It uses OAuth-based Role-Based Access Control (RBAC) to strictly govern data access. You can also choose deployment options where data never leaves your Virtual Private Cloud (VPC) or on-premises environment, ensuring it remains under your company's full control.

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

iGPT can connect to major enterprise email providers and protocols. It deeply indexes the full content of email messages, including headers and bodies. For attachments, it has robust processing capabilities for common file types, extracting text and data from PDFs, Word documents, Excel spreadsheets, PowerPoint presentations, and plain text files, making their content searchable.

Do I need to manage vector databases or complex prompts with iGPT?

No, that's the core benefit. iGPT abstracts away all the underlying complexity. There is no need for you to parse emails, chunk text, manage vector databases, or fine-tune retrieval prompts. You simply connect your data source and make API calls with natural language questions. iGPT handles the entire context engineering pipeline internally.

How fast is the iGPT API?

The API is engineered for high performance in real-world enterprise scenarios. It delivers retrieval results in approximately 200 milliseconds and generates the first token of a response in about 3 seconds, even when querying across large and complex email datasets. This speed enables responsive, real-time agentic workflows.