Spice AI

Open-source data platform for AI context

Spice AI logo
1-20 employees
  • B2B
  • Artificial Intelligence
  • Big data
  • Machine Learning
  • Automation
Pioneer Square, Seattle, WA

Company mission

To help every developer leverage the latest technology and infrastructure to build the next generation of applications.

Our take

Integrating AI and machine learning into applications remains tricky for developers. In spite of remarkable developments in both fields, a general skills gap means they’re not broadly deployed in the design of intelligent software. This looks likely to become a real pain point going forward, as demand for truly intelligent systems is on the rise - which is why Spice AI is developing a platform to help remedy this.

The company's platform consists of an open source decision engine and pooled ‘ML-ready’ data. In short, this allows professional developers to build machine learning and AI into their software. The platform also comes with ready-made ML building blocks available through Spicerack.

Funding for Spice AI comes from impressive players, like senior executives at GitHub and Microsoft Azure, as well as major VC firms like Madrona Venture Group and Founders’ Co-Op. This indicates strong confidence in the company's mission to help the AI software market reach its anticipated multi-billion dollar stature over the years ahead.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Funding (2 rounds)

Sep 2022

$13.5m

SEED

Oct 2021

$1m

SEED

Total funding: $14.5m

Leadership

Luke Kim

(Co-Founder & CEO)

Previously worked as a Tax Accountant at Baines Pendal & Co, alongside consulting with Tidesoft on IT and software engineering. In total has also spent well over a decade in various managerial roles at Microsoft.

Phillip LeBlanc

(Co-Founder & CTO)

Prior to co-founding Spice AI in 2021, Philip was a Senior Software Engineering Manager at GitHub. Before that, they spent over 8 years at Microsoft in various Software Engineering roles.

Job (1)

Software Engineering