SkySQL announced it had raised $6.6 million in new funding to redefine cloud database management with groundbreaking AI and serverless capabilities, backed by Eniac Ventures, Good Capital, and WTI.
SkySQL enables the seamless creation of applications that deliver accurate, natural language insights from enterprise data. At the same time, its serverless technology automatically scales resources to handle unpredictable workloads.
Serving over 40 customers globally, SkySQL provides a secure, cloud-native solution for MySQL and MariaDB, making it easier for modern enterprises to manage and access their data.
SkySQL’s founders Nithin Rao, Jags Ramnarayan, and Saravana Krishnamurthy bring several decades of expertise in databases, cloud data platforms, and analytics technologies. And they have been co-founders at five startups that have had successful exits, including notable companies Autonomic, a cloud platform for connected vehicle data (acquired by Ford), Definitive (acquired by Groq), and GemStone Systems (acquired by VMware).
Most companies have been exploring development of GenAI applications powered by operational data, but achieving reliable, accurate results remains challenging. Hallucinations, low accuracy, and complex integrations with AI tools and vector databases make it difficult to connect AI apps to enterprise data, often creating governance issues as sensitive data spreads across silos. And these apps also generate unpredictable workloads, forcing over-provisioning in cloud databases that lead to waste, while sudden spikes still risk outages.
SkySQL is known as an advanced DBaaS platform that simplifies cloud database management and incorporates AI natively, empowering businesses to unlock insights directly from their operational data. By combining traditional database functionality with AI, SkySQL removes the complexity of stitching together multiple AI tools, enabling accurate, secure, and reliable AI responses through a single conversational API.
SkySQL’s Semantic Agents and SkyCopilot AI assistant provide accurate natural language insights without compromising data security. Instead of supporting basic vector search or chat tools, SkySQL unifies essential AI components—such as vector databases and large language models (LLMs)—into a seamless solution that delivers accurate, real-time answers directly from customer data, eliminating the need to move data to external systems.
SkySQL’s serverless option offers instant auto-scaling, including scaling to zero during inactivity, ensuring cost efficiency and readiness for workload spikes for unpredictable AI-driven workloads.
KEY QUOTES:
“We’ve integrated natural language interaction directly into an operational database with our AI Semantic Agent framework, delivering significantly greater accuracy. As businesses increasingly rely on AI, it’s essential to trust the answers derived from critical data. Our goal is to ensure companies have confidence in the insights driving their most important decisions.”
– Nithin Rao, CEO of SkySQL
“SkySQL is transforming our Student Information System. The AI-powered chat interface will allow users to access precise insights by simply asking questions. CEOs can quickly check enrollment trends, while administrators can drill down into specifics without complex queries. It’s like having a knowledgeable assistant that understands our entire student dataset, enabling more informed decision-making and freeing up IT resources.”
– Sasa Skoko, CTO of Campus Cloud
