The shared memory for enterprise AI
Move beyond static spreadsheets. Engini Tables provides the structured, relational foundation your AI agents need to maintain context, store state, and execute complex business logic at scale.
"Engini helped us save a significant number of human work hours. We developed apps for our field employees, making operations more efficient."
Structured knowledge your agents actually use
Relational data architecture
Build the backbone of your operations. Link complex records across your ecosystem to create a high-precision database that powers deterministic decision-making for your autonomous workforce.
AI-native columns
Transform data cells into active participants. Use embedded LLMs to autonomously summarize records, classify leads, and extract structured insights from unstructured data streams in real-time.
Centralized AI context
Engini Tables serve as the shared memory for your agent fleet. By providing structured, real-time context, you enable high-precision Retrieval-Augmented Generation (RAG) and state awareness at enterprise scale.
Enterprise-grade permissions
Deploy with confidence. Define enterprise-grade Role-Based Access Control (RBAC) at the row and column level, ensuring your AI agents and human teams only interact with authorized data.
Lead intelligence and outreach
Agents score leads, run sentiment analysis, and trigger personalized outreach sequences, all from a single relational view. Records updated automatically. Follow-ups fired without human input.
Inventory and supply chain
Agents monitor stock levels in real time and trigger procurement workflows or vendor communications the moment a threshold is crossed. No manual monitoring. No lag.
Smart project management
Agents detect bottlenecks, reallocate resources, and update project timelines based on live structured data, keeping global teams aligned without status meetings.
