Leading digital analytics platform for product insights and customer journey analytics
Key facts
Pricing
Freemium
Use cases
Developers building AI agents that require structured data extracted from email conversations and file attachments for automated workflows (verified: 2026-01-29), Enterprise teams needing to generate executive reporting and internal analytics from data stored across email and connected tools (verified: 2026-01-29), Business intelligence analysts using context-aware answers to feed data into BI agents for organizational decision-making processes (verified: 2026-01-29)
Strengths
The platform provides enterprise-grade security with zero data training, ensuring user data is never used to improve or feed any model pipelines (verified: 2026-01-29), Users can utilize the Context Engineering Framework (CEF) tiers to adjust reasoning depth and accuracy based on specific workflow requirements (verified: 2026-01-29), The system implements zero data retention by processing inferences in memory without storing inputs, prompts, or outputs (verified: 2026-01-29)
Limitations
Access to the full datasource stack and higher usage limits requires a paid Pro or Enterprise subscription (verified: 2026-01-29), The Free plan is subject to usage limits and provides only normal context reasoning rather than high-depth reasoning (verified: 2026-01-29)
Last verified
Jan 29, 2026
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Strengths
- The platform provides enterprise-grade security with zero data training, ensuring user data is never used to improve or feed any model pipelines (verified: 2026-01-29)
- Users can utilize the Context Engineering Framework (CEF) tiers to adjust reasoning depth and accuracy based on specific workflow requirements (verified: 2026-01-29)
- The system implements zero data retention by processing inferences in memory without storing inputs, prompts, or outputs (verified: 2026-01-29)
Limitations
- Access to the full datasource stack and higher usage limits requires a paid Pro or Enterprise subscription (verified: 2026-01-29)
- The Free plan is subject to usage limits and provides only normal context reasoning rather than high-depth reasoning (verified: 2026-01-29)
FAQ
How does iGPT handle sensitive enterprise data and model training?
iGPT maintains a strict zero data training policy where your information is never used to train or improve models. The platform uses OAuth-only processing and role-based access control to ensure data remains under company control. Additionally, it features zero data retention, meaning inputs and outputs are processed in memory and are not stored after inference (verified: 2026-01-29).
What are the different pricing tiers available for the iGPT Chat service?
iGPT offers three main tiers: a Free plan for everyday work, a Pro plan at $20 per month with an annual subscription for deep context work, and an Enterprise plan for team deployments. The Pro plan includes higher usage limits and faster response times, while the Enterprise plan adds administrative consoles and private deployment options (verified: 2026-01-29).
What specific capabilities does the iGPT Developer API provide for automated workflows?
The Developer API allows for the conversion of email conversations and attachments into structured, context-aware data for agents. It supports different Context Engineering Framework tiers with usage-based pricing. Developers can test data sources in a live playground and access a full audit trail where all responses are traceable (verified: 2026-01-29).
