What SingleStore changed

• Removed the top navigation menu including Product, Solutions, Resources, and Pricing links.
• Removed the entire site footer containing Docs, Company info, and Legal links.
• Removed detailed descriptions of the HTAP engine, query execution, and Apache Iceberg integration.
• Removed the industry selection list (Manufacturing, Retail, Finance, etc.).
• Added a new descriptive paragraph in the call-to-action section about giving AI agents live context.
• The page now focuses almost exclusively on "Aura Intelligence" and AI agents.

The website has removed almost all navigation links, product documentation links, and industry-specific landing pages. This suggests a major pivot toward a simplified, AI-agent-focused landing page or a significant site restructuring.

• Added a new hero headline: "Answers Included. AI starts with the database."
• Introduced a new section highlighting technical advantages: 20ms latency vs. 2400ms for traditional systems.
• Added support for Apache Iceberg to emphasize "open data" and lack of vendor lock-in.
• Expanded the "Solutions" section to include specific sub-categories for Martech, Sales tech, and Adtech.
• Added a comprehensive site footer with links to product documentation, training, and certifications.
• Included a new visual comparison of "SingleStore vs. Traditional" query speeds.

SingleStore is shifting its messaging from a general-purpose database to a specialized "AI stack" component. They are emphasizing that the database is the starting point for AI agents and real-time intelligence.

• Added a new hero section focusing on AI agents acting on live data.
• Introduced "Aura Intelligence," which includes "Analyst" (natural language questions) and "Context Engine."
• Added messaging about reducing LLM token costs by providing faster data context.
• Claimed leadership in the HTAP (Hybrid Transactional/Analytical Processing) database category.
• Replaced the "Start free" call to action with "Contact sales" and "Learn more" in the footer.

SingleStore is shifting its focus from general database performance to specific AI infrastructure. They are positioning their platform as the essential layer for "AI agents" that need live data to make decisions, rather than just static analysis.