iGPT

About iGPT

In the modern enterprise, email remains the chaotic, unstructured heart of business communication, a place where most AI tools stumble and fail. iGPT is the definitive solution to this problem. It's not just another API; it's a purpose-built intelligence layer that transforms messy email threads and attachments into structured, actionable, and trustworthy context for AI agents and workflows. Think of it as the critical middleware that finally allows your automated systems to understand the nuanced, human conversations where real decisions are made. Its core value proposition is breathtakingly simple yet powerful: a single, unified API call that replaces the entire fragile stack of parsing, chunking, indexing, and prompt engineering typically required to work with email data. Built with uncompromising enterprise-grade security—featuring zero data retention, full audit trails, and granular RBAC—iGPT empowers developers and companies to deploy confident, context-aware agents for sales, customer success, operations, and more, without ever sacrificing compliance or control. If you're building the next generation of autonomous workflows, this is the tool you've been waiting for.

Features of iGPT

Unified Intelligence Endpoint

This is iGPT's killer feature. Instead of managing a complex pipeline of separate services for retrieval, context building, and reasoning, you send one natural language request. The API internally handles semantic and keyword search, filters, re-ranking, and optimal context shaping for your LLM, delivering a perfectly formatted response in one go. It dramatically reduces development time and eliminates the maintenance nightmare of chained prompts and vector databases.

Deep Email & Attachment Indexing

iGPT doesn't just skim subject lines. It performs deep, real-time indexing of entire email conversations, automatically reconstructing threads across time and participants. Crucially, it also processes attachments—PDFs, documents, spreadsheets—extracting text, data, and structure so the full context of a communication is available. This creates a rich, searchable knowledge base from what was previously opaque data silos.

Enterprise-Grade Security & Audit

Built for regulated industries, iGPT's security model is exceptional. It enforces OAuth-only access with Role-Based Access Control (RBAC) for every query. It operates on a zero data retention policy, processing inferences in memory without storing prompts or outputs. Most importantly, it provides a full, transparent audit trail for every response, making it compliant and trustworthy for sensitive workflows.

Context Engineering Framework (CEF)

iGPT introduces a sophisticated, tunable engine for managing context quality. Through parameters like quality in the API call, you can balance speed, cost, and depth of analysis. This framework automatically optimizes the context window and retrieval strategy for your specific query, ensuring you get high-fidelity answers without manual prompt tuning or wasted tokens.

Use Cases of iGPT

Sales & Deal Intelligence Automation

Transform sales teams by building agents that continuously monitor deal-related email threads. Automatically extract key decisions, identify stalled conversations, uncover competitor mentions, and track action items and commitments. This provides real-time pipeline visibility and alerts for risks, turning email noise into a strategic asset for forecasting and coaching.

Customer Success & Support Workflows

Empower customer success platforms with deep context. When a customer emails, an agent can instantly pull the entire history of conversations and attached contracts or specs, understanding the issue's full background. This enables automated, highly personalized responses, efficient ticket routing, and proactive churn risk identification based on communication sentiment and topics.

Automated Meeting & Task Coordination

Automate the tedious follow-up from meetings. An agent can scan emails from participants, reconstruct the discussion thread, and extract definitive action items, owners, and deadlines. It can then populate project management tools or send reminder emails, ensuring nothing falls through the cracks and dramatically improving team accountability.

Compliance & Legal Audit Assistance

Streamline audit and e-discovery processes. Instead of manual reviews, compliance officers can use natural language queries to ask iGPT questions like "Find all discussions regarding data policy updates in Q3" or "Extract all attachments containing financial forecasts." The cited, sourced responses accelerate investigations and ensure thorough, reproducible audits.

Frequently Asked Questions

How does iGPT handle data privacy and security?

iGPT is architected with a "zero trust" data model. Your data is never used to train any models. It processes each request in memory with zero data retention—inputs and outputs are not stored. Access is strictly controlled via OAuth and RBAC, and you can choose deployment options from a fully hosted cloud to a private VPC or on-premise installation, ensuring data never leaves your desired environment.

What makes iGPT different from using the OpenAI API directly on my emails?

Directly using a raw LLM API requires you to solve the entire data pipeline: parsing complex email MIME, chunking texts, building and maintaining a vector database, engineering hybrid retrieval, and constantly tuning prompts for context. iGPT abstracts all that complexity away. You provide the credentials to your email source, and it handles everything from real-time indexing to optimized context delivery through one simple endpoint.

Can iGPT process data from sources other than email?

While email intelligence is its core and most powerful use case, the provided context suggests iGPT is designed as a gateway for communication data. Its architecture for deep indexing, thread reconstruction, and unified retrieval is particularly suited to asynchronous communication platforms. For specific integrations beyond email, consulting their team is recommended.

How fast is the API, and is there a playground to test it?

Performance is a key focus. iGPT boasts ~200ms for retrieval and ~3 seconds to the first token, even across large, messy datasets. Yes, they offer a comprehensive live playground where you can connect data sources, test different CEF quality tiers, and experiment with queries using $10 in free credits, no credit card required. It's the best way to experience its power firsthand.