Datagran
Middleware platform that connects AI agents to marketing APIs, manages context windows, and provides full observability.
| What is it | Middleware platform that connects AI agents to marketing APIs, manages context windows, and provides full observability. |
|---|---|
| Pricing | Unknown |
| Platform | Web Application |
| API | Yes |
| Best for | securing AI agent access to marketing platforms, managing context windows for AI agents handling large datasets |
| Domain registered | 2018 |
Data updated Aug. 1, 2026
What does Datagran do?
Datagran is a middleware platform designed specifically for AI agents. It acts as an intelligence layer that sits between your AI tools and the data sources they need to access. Think of it as a control center that connects AI agents to marketing platforms like Facebook Ads, Google Ads, and TikTok Ads, as well as databases and other business systems. Its primary job is to solve the 'context problem'—managing the knowledge AI needs to operate effectively without getting bogged down by token limits or losing important information.
What makes Datagran stand out is its three-tiered approach to memory. It mimics a human brain with short-term memory for immediate context, a compressed mid-term 'Activation Beacon' layer that reduces token usage by about 85%, and a long-term vector storage for infinite history. This system, combined with its one-click OAuth integrations, means your AI can query data efficiently without constant, costly API calls. The platform also includes a powerful AI Interaction Controller (AIC) that acts as an enforcement engine, scoring risks and checking actions against your policies before anything gets executed.
This tool is a perfect fit for enterprise teams and developers who are moving beyond simple chatbots and deploying AI agents for real business tasks. If you're building an AI that manages ad campaigns, handles customer support via a CRM, or needs to make data-driven decisions, Datagran provides the safety rails, persistent memory, and visibility you need. The case studies highlight its use in securing marketing AI for a company and enabling compliant AI agents in government customer support, showing it's built for serious, production-level deployments where control and auditability are non-negotiable.
Key features
What makes it stand outWho is Datagran for?
Who benefits most from this toolTrust & presence
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