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Spice AI

Seattle, US · Founded 2021 · 13 known investors

Find your way into Spice AI

441 people in our graph share verified history with the Spice AI team — schools, employers, funds. One of them is your warm intro.

Clare McCartney Beerunlockedknows Luke Kim · together at The University of Western Australia (overlapped)
×9knows the team · via US Army
×2knows the team · via Louisiana State University

Spice AI provides a unified data and AI engine that enables developers to build AI-driven applications without requiring specialized expertise in data science or machine learning. The platform targets software developers building the next generation of intelligent applications across various industries.

Also known as Spice AI · Spice AI OSS · Spice.ai · Spice.ai OSS · spiceai

Founders & leadership

Spice AI was founded in 2021 by Luke Kim, Lane Harris, and Phillip LeBlanc.

LKLuke Kim
Luke Kimin𝕏Founder and CEOMicrosoft Azure Incubations founding manager and Dapr co-creator; started Spice AI in June 2021.
LHLane Harris
Lane HarrisinCo-Founder and VP of Engineering2021–2021Listed as co-founder and VP of Engineering on LinkedIn; announced the open-source project with Kim and LeBlanc in 2021.
PLPhillip LeBlanc
Phillip LeBlancin𝕏Co-Founder and CTOFormer Microsoft (Azure AD, VS App Center) and GitHub Actions engineer; leads Spice’s open-source query engine.
TH
Tae Hyung Kim

Investors · 13

Also in the syndicate · 3

Mark RussinovichNat FriedmanThomas Dohmke

Reported raises · per SEC filings

Form D private placements

$15.2M disclosed across 2 of 4 rounds · 2021–2022

$14.6MraisedSep 2022 · 41 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • PHILLIP MICHAEL LEBLANCExecutive Officer, Director
  • TAE HYUNG KIMExecutive Officer, Director
Offering amount
$14.6M
Amount sold
$14.6M
First sale
Jul 2022
Incorporated
Corporation, Delaware, 2021
Federal exemptions
06b
Full filing on SEC EDGAR ↗
$617.5KraisedSep 2021 · 20 investors · Other Technology
Rule 506(b)
Officers, directors & promoters on the filing
  • Lane Stroud HarrisExecutive Officer, Director
  • Phillip Michael LeBlancExecutive Officer, Director
  • Tae Hyung KimExecutive Officer, Director
Offering amount
$1M
Amount sold
$617.5K
First sale
Aug 2021
Incorporated
Corporation, Delaware, 2021
Federal exemptions
06b
Full filing on SEC EDGAR ↗

Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.

Company profile

researched Aug 2026

Spice AI develops a data plane for applications and AI agents that exposes a single SQL endpoint for retrieving, accelerating, searching, and reasoning over operational and analytical data. Its core capabilities include an "analytics replica" that can be deployed alongside production operational databases so that queries run in a physically isolated environment without affecting production systems; SQL federation and acceleration across operational databases, data lakes, and warehouses, with working sets materialized in-memory or on disk; hybrid search that combines keyword, full-text, and vector similarity within standard SQL; and embedded AI inference that calls hosted or local large language models inline through SQL user-defined functions or natural language for tasks such as translation, summarization, and entity classification.

The technology is built on object storage and positioned as incrementally adoptable. It ships as Spice.ai Open Source, which can run locally, at the edge, or in a customer's own environment, and as a fully managed Spice.ai Cloud Platform. Additional platform features include AI sandboxing and security through isolated, least-privilege datasets that give applications and agents no direct database access while supporting retrieval-augmented generation and agentic workflows, and distributed observability with end-to-end tracing across SQL, embeddings, search, and model calls for latency measurement and debugging.

Business model

Dual open-source and commercial model: Spice.ai Open Source can be self-deployed locally, at the edge, or in customer infrastructure, while a fully managed Spice.ai Cloud Platform is offered as a hosted service. The website presents a free entry point ("Start for free") alongside an engineer-led sales motion.

Traction

The company states its software is deployed in production by global enterprises, citing Twilio, Barracuda, NRC Health, Summation, and Basis Set. Referenced customer outcomes include Barracuda reporting roughly 100x faster query responses and 50% cost reduction, Twilio moving control-plane datasets into the runtime path next to its services, NRC Health reducing AI feature time-to-market from months to weeks, and Summation using Spice as the data plane behind its connectors and portable AI agents.

Latest developments

Product messaging centers on the agent data stack and analytics replica, supported by founder- and engineer-led demos, including a talk and live demo by founder Luke Kim on sandboxed data stacks for enterprise AI agents.

Full profile — market position, technology, go-to-market

Market position

Positioned as the data plane for enterprise AI, targeting real-time analytics and agent data access adjacent to existing databases, lakehouses, and warehouses rather than replacing them.

Emphasizes physically isolated analytics replicas next to production databases, incremental adoption on top of existing data infrastructure, unification of federation, acceleration, hybrid search, and model inference behind one SQL interface, and deployment optionality across local, edge, and managed cloud environments.

Technology

A single SQL endpoint and runtime combining query federation across operational databases, data lakes, and warehouses; in-memory and on-disk acceleration of working sets for millisecond access; hybrid keyword, full-text, and vector search expressed in SQL; and inline LLM inference via SQL UDFs or natural language. The runtime is built on object storage, is described as lightweight and portable, and provides isolated least-privilege datasets plus distributed tracing across SQL, embeddings, search, and model calls.

Go-to-market

Developer-led adoption through open-source software, documentation, product demos, and a cookbook of guides and samples, combined with a direct enterprise motion built around "talk to an engineer" consultations and use-case walkthroughs.

Enterprises and product teams building low-latency applications and AI agents on existing operational and analytical data, including engineering organizations in messaging, security, healthcare experience, and AI software.

Compiled by commissioned research from 9 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
CDC ingest throughput vs Spice 1.xJan 2026170 x
Customers (beta platform)Sep 202210 customers
Data connectors supportedJan 202630 connectors
Data lakehouse cost reduction (vendor-stated)Jan 2025Up to 80% lower data lakehouse spend
Data reliability improvement (vendor-stated)Jan 20252x increase in data reliability for critical workloads
EmployeesSep 2022fewer than five
End-to-end data freshnessJan 20262 seconds
GitHub forks (spiceai/spiceai)Jan 2026223 forks
GitHub stars (spiceai/spiceai)Jan 20263,100 stars
Open-source cookbook guides and samplesJan 202580 guides
Query performance improvement (vendor-stated)Jan 2025Up to 100x faster queries
Reported query speedupJan 2026up to 100x faster queries
Reported reduction in data lakehouse spendJan 2026up to 80%
Total funding raised since 2021Sep 2022$14.5M
TPC-H SF100 speedup vs single-node DataFusionJan 20262.9 x

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Founder mafia

2 people who came through Spice AI went on to found or lead other companies.

Competitors · 8

by search overlap
Netezza32 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.
DataCamp28 shared keywordsDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
Databricks25 shared keywordsDatabricks provides a unified platform for data engineering, analytics, and artificial intelligence, enabling organizations to build and deploy data and AI applications on cloud infrastructure.
Plural23 shared keywordsPlural is a developer-focused company building around Kubernetes and related technologies (Elixir, Go, React) to enable collaboration among developers. It positions itself as a platform for a developer community to collaborate, learn, and work on complex projects.
Cdata23 shared keywordsCData provides a centralized data connectivity layer that unifies hundreds of SaaS apps, databases, and on-prem systems behind one relational interface, giving AI agents governed, authenticated, and audited access to live business data via MCP. Its products include a managed MCP platform, change-data-capture replication into warehouses like Snowflake and Databricks, embeddable white-labeled connectivity, a CLI, and a Python SDK for enterprise teams building and scaling production AI.
Striim22 shared keywordsStriim provides a cloud data integration platform that connects legacy systems to modern cloud applications for real-time data streaming. The platform helps enterprises manage large-scale data migrations and integrations without operational downtime.
Qlik21 shared keywordsQlik provides a data integration and analytics platform, including an agentic AI framework, that helps enterprises turn their data into insights and actions for business decisions. It serves large organizations, including a majority of Fortune 500 companies.
Hugging Face20 shared keywordsHugging Face is a collaboration platform that hosts and provides access to machine learning models, datasets, and applications. It offers both open-source tools for the ML community and paid compute and enterprise solutions for teams building AI applications.

Companies competing with Spice AI for the same Google search keywords, organic and paid, via search-intersection analysis.

Timeline · 7

launches, deals, and filings
Jan 2026
Spice 2.0 released

Spice 2.0 adds a real-time analytics node for operational databases (PostgreSQL, MySQL, MongoDB) using native CDC replication, with roughly 170x faster ingest than Spice 1.x, about two-second freshness and 1,046 QPH of HTAP analytics at SF1000 under a 266,000+ tpmC transactional load.

source ↗

Jan 2026
Spice Cayenne data accelerator generally available

The Spice Cayenne data accelerator built on Vortex reached general availability, reported as 1.5x faster than DuckDB with 3x less memory on TPC-H SF100 and 26x faster than Spice 1.x on TPC-DS SF100.

source ↗

Jan 2025
AWS re:Invent 2025 session on operationalizing data lakes for AI

Spice AI presented session STG364 at AWS re:Invent 2025 on operationalizing data lakes for AI using Amazon S3.

source ↗

Mar 2024
Spice.ai open source redesigned in Rust

The team completely rebuilt Spice.ai OSS in Rust, creating a unified SQL query interface and portable runtime for local materialization, acceleration and querying of datasets from any database, data warehouse or data lake.

source ↗

Sep 2022
$13.5 million seed round

Seattle-based Spice AI announced a $13.5 million seed round led by Madrona, with Blackbird Ventures, Basis Set Ventures and Founders' Co-op among other investors, plus angels Nat Friedman, Thomas Dohmke and Mark Russinovich.

$13.5M source ↗

Jan 2022
Web3 data platform beta

Spice AI opened its blockchain data platform in beta, indexing Bitcoin, Ethereum and Solana data into Web3 data warehouses for developers building AI-driven applications; the beta had about 10 customers.

source ↗

Oct 2021
Pre-seed round of $1 million led by Madrona

Spice AI raised a $1 million pre-seed round led by Madrona, with contributions from Protocol Labs.

$1M source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

Legal entities · 1

corporate structure
Spice AIDelaware

In the news

Research sources · 9

primary sources listed

9 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Spice AI do?
Spice AI offers an open-source data and AI runtime for real-time federated SQL, search, and inline model inference.
Who founded Spice AI?
Spice AI was founded by Luke Kim, Lane Harris, Phillip LeBlanc in 2021.
Who are Spice AI's investors?
Spice AI's investors include Blackbird Ventures, Cardinia Ventures, Geek Ventures, Madrona Venture Group, PICUS CAPITAL, TA Ventures, Utiliti Group, Asymmetric and 2 more.
How much funding has Spice AI raised?
Spice AI has disclosed $15.2M raised across 2 of its 4 known rounds.
Where is Spice AI headquartered?
Spice AI is headquartered in Seattle, US.