Real-time AI Target mid-market industrial, financial, and healthcare clients seeking real-time AI decisioning enabled by a scalable SQL database with built-in machine learning capabilities, highlighting Splice Machine as a fit for mission-critical, latency-sensitive use cases.

Scale-ready Platform Position the single-engine Feature Store and the ability to grow from a few to thousands of models in production as a key differentiator for customers with expanding ML workloads and data science teams seeking operational efficiency and governance.

Competitive Position Leverage exposure to multiple enterprise-focused competitors with higher headcount and revenue by highlighting Splice Machine’s niche as a scalable, real-time SQL data platform with built-in ML, ideal for customers needing AI at scale without migrating away from SQL.

Recent Innovations Leverage momentum from Spark 3.0/3.1 support, Kubernetes elasticity, GPU enhancements, and Livewire platform to engage prospects evaluating cutting-edge data infrastructure that improves performance and time-to-value for real-time AI deployments.

Strategic Partnerships Explore opportunities with government, defense, and industry-focused programs (e.g., SBIR with USAF) and partnerships (such as with Heirloom Computing) to unlock use cases around modernizing legacy apps and automating resource allocation for missions.