iGPT is a context engine that automatically indexes your work data including emails, documents, and conversations. It provides fast retrieval and structured responses in under 3 seconds, extracting decisions, blockers, and action items from ongoing work threads. The platform handles retrieval, context shaping, and reasoning in one pipeline with automatic citations to source materials.

• Live Indexing: Automatically indexes new messages and attachments instantly, extracting text, data and structure from documents in real-time.
• Single Pipeline Processing: Sends one request that runs retrieval, context shaping, and reasoning together, returning structured JSON responses.
• Automatic Context Optimization: Optimizes context windows for your LLM automatically without manual prompt tuning or multi-step retrieval.
• Source Citations: Every answer links back to source messages and attachments for verification and transparency.
• Conversation Reconstruction: Rebuilds full customer context across conversations, files, and handoffs automatically.
• Semantic Search: Combines semantic, keyword, and filter-based search with scoring and reranking in one call.
• Security & Privacy: OAuth-only processing with strict role and permission enforcement, data never used for model training.
• Attachment Processing: Pulls text and structured data from documents, spreadsheets, and PDFs to make all work data accessible.
• Continuous Data Indexing: Keeps context and answers current with live indexing of new data.

• Fast Performance: iGPT delivers speedy retrieval and response times, handling large, multi‑source contexts in a quick workflow.
• No Manual Maintenance: Eliminates the need for parsing, chunking, indexing, or prompt tuning.
• Always Current: Live indexing keeps data and answers up-to-date automatically.
• Comprehensive Context: Answers complex questions that span email, files, and connected tools in one query.

• Requires Developer Setup: Full benefits come with API integration, so non‑technical teams may need support to implement.
• Focuses On Work Data: It’s optimized for work context like email and documents, not general consumer use.

• Sales Pipeline Monitoring: Extract decisions, risks, and stalled progress from ongoing sales conversations to keep deals moving forward and identify blockers before they derail opportunities.
• Customer Support Context: Rebuild full customer context across conversations, files, and handoffs so support teams have complete history without manually searching through tickets.
• Hiring and Recruitment: Track interview feedback, hiring decisions, and candidate history across multiple conversations and documents to make informed hiring choices.
• Compliance and Audit: Reconstruct approvals, decisions, and rationale from historical conversations with automatic citations for compliance reporting.
• Project Management: Detect decisions, blockers, and missing follow-ups across communication threads to keep projects on track and teams aligned.