Insights

Real-time AI Platform Splice Machine offers real-time AI deployment on a scale-out SQL database with built-in machine learning, presenting an opportunity to upsell advanced real-time analytics and AI-driven decision support for industries like industrial, financial, and healthcare.

MLOps Leader With unique MLOps capabilities and a single-engine Feature Store, there is potential to sell lifecycle management and model governance solutions to enterprises looking to scale from a few models to thousands in production.

Kubernetes & GPU Recent features include resource elasticity on Kubernetes and GPU support, suggesting cross-sell prospects to customers migrating to containerized, GPU-accelerated AI workloads and requiring scalable infrastructure.

Strategic Partnerships Past partnerships and SBIR/contract activity with government and enterprise clients indicate opportunities to target similar sectors and expand with large-scale modernization projects and legacy application modernization.

Growth Platform Small team size and funding indicate a lean but ambitious growth trajectory; potential to engage via co-sell programs, accelerators, or channel partnerships to accelerate adoption among mid-market to enterprise customers.

Splice Machine Tech Stack

Splice Machine uses 8 technology products and services including Google Conversion Tracking, Linkedin Insight Tag, Apache Kafka, and more. Explore Splice Machine's tech stack below.

  • Google Conversion Tracking
    Advertising Networks
  • Linkedin Insight Tag
    Analytics
  • Apache Kafka
    Big Data Processing
  • Google Kubernetes Engine
    Containerization
  • RSS
    Content Management System
  • SQL
    Database
  • Scala
    Programming Languages
  • HTML
    Programming Languages

Media & News

Splice Machine's Email Address Formats

Splice Machine uses at least 1 format(s):
Splice Machine Email FormatsExamplePercentage
FLast@splicemachine.comJDoe@splicemachine.com
100%

Frequently Asked Questions

What is Splice Machine's phone number?

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You can contact Splice Machine's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

What is Splice Machine's official website and social media links?

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Splice Machine's official website is splicemachine.com and has social profiles on LinkedInCrunchbase.

What is Splice Machine's SIC code NAICS code?

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Splice Machine's SIC code is 7372 - Prepackaged Software NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does Splice Machine have currently?

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As of July 2026, Splice Machine has approximately 4 employees across 1 continents, including North America. Key team members include President: J. M.. Explore Splice Machine's employee directory with LeadIQ.

What industry does Splice Machine belong to?

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Splice Machine operates in the IT Services and IT Consulting industry.

What technology does Splice Machine use?

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Splice Machine's tech stack includes Google Conversion TrackingLinkedin Insight TagApache KafkaGoogle Kubernetes EngineRSSSQLScalaHTML.

What is Splice Machine's email format?

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Splice Machine's email format typically follows the pattern of FLast@splicemachine.com. Find more Splice Machine email formats with LeadIQ.

How much funding has Splice Machine raised to date?

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As of July 2026, Splice Machine has raised $48M in funding. The last funding round occurred on Feb 20, 2019 for $16M.

When was Splice Machine founded?

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Splice Machine was founded in 2012.
Splice Machine logo

Splice Machine

IT Services and IT ConsultingCalifornia, United States2-10 Employees

Splice Machine is a small IT services and IT consulting company headquartered at 44 Tehama Street in San Francisco, California, with 2 to 10 employees. It provides real-time AI applications and machine learning solutions that enable organizations to predict outcomes in real time and support in-the-moment decision making for industrial, financial, and healthcare sectors. The company emphasizes MLOps capabilities and offers a scalable SQL database with built-in machine learning, including the only single-engine Feature Store to support machine learning at scale and allow growth from a few models to thousands in production. Its website is https://splicemachine.com. In March 2021 the company announced the release of database version 3.1 with Spark 3.0 support to enhance real-time AI projects.

Section iconCompany Overview

Phone number
SIC Code
7372 - Prepackaged Software
NAICS Code
5415 - Computer Systems Design and Related Services
Founded
2012
Employees
2-10

Section iconFunding & Financials

  • $48M

    Splice Machine has raised a total of $48M of funding over 5 rounds. Their latest funding round was raised on Feb 20, 2019 in the amount of $16Mas a series_b.

  • $1M$10M

    Splice Machine's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $48M

    Splice Machine has raised a total of $48M of funding over 5 rounds. Their latest funding round was raised on Feb 20, 2019 in the amount of $16Mas a series_b.

  • $1M$10M

    Splice Machine's revenue is estimated to be in the range of $1M$10M

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