SingleStore
SingleStore provides Aura Intelligence, an AI-driven platform that lets business users and automated agents ask plain-English questions and receive answers from live, up-to-date data. Its Context Engine creates a shared data map that reduces token usage and speeds query execution, enabling agents to price, route, flag, or trigger actions based on the most current information. The solution integrates directly with the company’s high-performance HTAP database for real-time insights.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Data & Analytics
- Software Only
Funding
Funding not disclosed
+1Founders
Founder details are not available yet.
Product
Problem
Business users and AI agents increasingly need real-time answers from live operational data, but traditional architectures rely on batch pipelines, data copies, and warehouses that refresh slowly. This creates latency, inconsistencies, and misalignment between AI outputs and production systems, making it difficult to deliver instant personalization, accurate segmentation, and reliable autonomous actions.
Solution
SingleStore provides Aura Intelligence, an AI-driven platform that lets users and automated agents ask plain-English questions and receive answers from live, up-to-date data. The Context Engine creates a shared data map that reduces token usage and speeds query execution, enabling agents to price, route, flag, or trigger actions based on the most current information. Analyst, part of Aura Intelligence, plans and executes queries directly against the live database—not a copy or a warehouse refreshed while you slept. The platform pairs with SingleStore's HTAP database, which combines transactions, analytics, and AI in one distributed engine, eliminating the need to move data between systems.
Target Audience
Primary customers are SaaS platforms, MarTech companies, and enterprises that need real-time customer 360 profiles, instant segmentation, and AI-driven personalization at scale, as well as data teams deploying AI agents that require live operational context.
Features
- Plain-English question interface for business users and AI agents to query live data without writing SQL
- Context Engine that builds a shared data map of schemas, relationships, and definitions to reduce token consumption and runtime query overhead
- Analyst component that plans and executes queries against the live database in real time
- HTAP database engine supporting transactions, analytics, and vector data in a single system with ACID guarantees
- Continuous event ingestion and instant query access to behavioral, transactional, and profile data
- High concurrency performance at multi-tenant scale, handling thousands of simultaneous queries across tenants, dashboards, APIs, and AI services
- Fine-grained access controls and workload isolation for enterprise-grade security and governance