iGPT

About iGPT

iGPT is an email intelligence API designed to solve a critical problem: making the rich, unstructured data within email conversations and attachments accessible and actionable for AI. While email is where real business happens—deals are negotiated, projects are managed, and decisions are documented—it has traditionally been a black box for AI systems. iGPT changes that by acting as a powerful, secure gateway that allows agentic workflows and enterprise applications to deeply understand and leverage communication data. It's built for developers and enterprises who need to build reliable AI agents, automate complex workflows, or extract insights without the immense overhead of managing data pipelines. Its core value proposition is simplicity and trust: you provide a natural language question, and iGPT's unified endpoint handles everything—from real-time ingestion and thread reconstruction to intelligent retrieval and context shaping—delivering cited, structured answers in seconds, all within a secure, auditable, and enterprise-grade infrastructure.

Features of iGPT

Unified Intelligence Endpoint

Instead of building complex chains of prompts, vector databases, and parsing logic, iGPT offers a single API call. You send a natural language query like "What are the open action items from last week's client call?" and the system automatically performs retrieval, context optimization, and reasoning across all connected email data. This dramatically reduces development time and maintenance, letting you focus on building your application's logic rather than engineering context.

Deep Email & Attachment Indexing

iGPT goes beyond simple email text. It automatically and continuously ingests your email data, deeply indexing the content of messages and, crucially, a wide variety of attachments like PDFs, documents, and spreadsheets. It also reconstructs full email threads, piecing together conversations across time and participants to provide complete context, ensuring the AI has the full picture before generating an answer.

Context Engineering Framework (CEF)

This is the secret sauce that shapes raw data into useful context. iGPT's CEF automatically optimizes the information retrieved for your specific query and for the LLM you're using. It employs hybrid retrieval (semantic + keyword + filters), reranks results, and formats the context window intelligently. This means you get high-quality, relevant answers without the need for constant prompt tuning and experimentation.

Enterprise-Grade Security & Audit

Built for sensitive business data, iGPT enforces zero data training, meaning your information is never used to improve models. It offers granular Role-Based Access Control (RBAC), processes data in memory without retention, and provides full audit trails for every request. With flexible deployment options from cloud to fully private, you maintain complete control and compliance.

Use Cases of iGPT

Sales & Deal Intelligence

Automate the extraction of key insights from sales communications. iGPT can identify next steps, decision points, competitor mentions, and potential risks buried in email threads with clients and internal teams. This powers deal analysis agents, keeps CRM records updated automatically, and gives sales leaders real-time visibility into pipeline health.

Project & Task Automation

Transform scattered email updates into structured task lists. iGPT can parse project-related emails to surface action items, assign owners, track deadlines, and identify stalled initiatives. This is perfect for customer success platforms, internal project management tools, and operational workflows that rely on communication trails.

Compliance & Audit Preparation

Streamline the arduous process of compliance reviews and audits. Instead of manually sifting through years of email, auditors or compliance officers can use iGPT to quickly query for specific policy discussions, data sharing agreements, or approval records across vast communication histories, with every answer cited to its source.

Recruiting & HR Workflow Support

Accelerate candidate screening and onboarding. iGPT can analyze email exchanges with candidates to summarize communication history, extract discussed terms or questions, and compile feedback from hiring teams. For HR systems, it can help manage employee queries by pulling relevant policy information from past communications.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is built with a foundational commitment to data privacy. It employs a zero data training policy, so your data is never used to train or improve AI models. All inferences are processed in memory with zero data retention, and every API call is protected with OAuth-based Role-Based Access Control (RBAC). You also get full audit trails and flexible deployment options, including fully private setups, ensuring data never leaves your controlled environment.

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

iGPT is designed to connect to major enterprise email providers and protocols. It automatically processes and extracts text and data from a wide array of common attachment formats, including PDFs, Word documents, PowerPoint presentations, Excel spreadsheets, and plain text files, making the content within them searchable and usable for AI queries.

Is it difficult to integrate the iGPT API?

Not at all. iGPT is designed for developer ease. You can start experimenting immediately with the live Playground using test credits. For integration, comprehensive documentation, SDKs (like Python), and even a Model Context Protocol (MCP) server are provided. The unified endpoint means you replace complex multi-step retrieval logic with a single, straightforward API call.

How fast is the response time from the API?

iGPT is engineered for performance in real-world enterprise scenarios. It delivers retrieval from large, complex email datasets in roughly 200 milliseconds. The time to generate the first token of a reasoned, contextual answer is typically around 3 seconds, making it fast enough for interactive agentic workflows and automated systems.