Splice Machine is a company.
Splice Machine has raised $31.0M across 3 funding rounds.
Key people at Splice Machine.
Splice Machine has raised $31.0M in total across 3 funding rounds.
Key people at Splice Machine.
Splice Machine has raised $31.0M in total across 3 funding rounds.
Splice Machine's investors include CP Ventures, Alan Cohen, Matt Ocko, Oyster Ventures, Wildcat Ventures, Clark Landry, Sahin Boydas, Canvas Ventures, Emergence Capital, Global Innovation Fund, InterWest, Spark Capital.
Splice Machine is a portfolio company building an Operational AI Platform that integrates relational database (RDBMS), data warehouse (OLAP), and machine learning (ML) capabilities into a single, scalable, real-time system.[1][2][3] It serves enterprises in sectors like financial services, healthcare, industrial, retail, manufacturing, and logistics, solving the problem of latency in mission-critical applications by enabling fast, AI-powered decision-making without complex integrations.[1][2][3] The platform deploys on-premises or in the cloud, built on open-source Apache Hadoop, HBase, and Spark, and features cutting-edge MLOps including a single-engine Feature Store to scale from few to thousands of ML models in production.[1][2][3]
Splice Machine was co-founded by Monte Zweben, who serves as CEO, with a focus on accelerating AI-driven decisions through integrated data platforms.[1][2] The company emerged to address gaps in traditional relational databases and Hadoop distributions, which lacked real-time scalability and AI integration, by creating a unified operational AI platform.[2][3] Key early traction included a $16 million Series B funding round in 2019 led by GreatPoint Ventures, which fueled global team expansion, engineering growth, and partnerships like Accenture to meet demand for operational AI and digital transformation.[2] It remains privately held, backed by investors including Salesforce Ventures.[1]
Splice Machine rides the wave of operational AI and second-wave digital transformation, where businesses modernize legacy apps with real-time data, ML, and new sources to stay agile in a data-driven economy.[3] Timing aligns with surging demand for HTAP databases amid Hadoop's limitations and the shift from batch to in-the-moment decisions, amplified by AI/ML growth post-2020 cloud migrations.[2][3][5] Market forces like rising operational efficiencies in healthcare (e.g., predictive apps at AAN meetings) and finance favor its low-latency edge, influencing the ecosystem by enabling scalable AI without vendor lock-in via open-source foundations.[1][2][4]
Splice Machine is poised to expand in the MLOps and enterprise AI surge, leveraging its Feature Store and HTAP strengths to power more predictive apps amid growing real-time analytics needs.[1][5] Trends like edge AI, multimodal data integration, and hybrid cloud will shape its path, potentially driving acquisitions or further funding as firms prioritize unified platforms over siloed tools. Its influence may evolve from niche modernizer to broader AI infrastructure player, helping enterprises "see around corners" in competitive landscapes—echoing its core mission of latency-free, intelligent decisions.[1][2]
Splice Machine has raised $31.0M across 3 funding rounds. Most recently, it raised $9.0M Series B in December 2017.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Dec 1, 2017 | $9.0M Series B | CP Ventures, Alan Cohen, Matt Ocko, Oyster Ventures, Wildcat Ventures, Clark Landry, Sahin Boydas | |
| Aug 1, 2014 | $18.0M Series B | Canvas Ventures, CP Ventures, Alan Cohen, Matt Ocko, Emergence Capital, Global Innovation Fund, InterWest, Oyster Ventures, Spark Capital, Wildcat Ventures, Clark Landry, Sahin Boydas | |
| Oct 1, 2012 | $4.0M Series A | CP Ventures, Alan Cohen, Matt Ocko, Oyster Ventures, Wildcat Ventures, Clark Landry, Sahin Boydas |
