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.
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.



Investors · 13
Also in the syndicate · 3
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 TechnologyRule 506(b)
- 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
▶$617.5KraisedSep 2021 · 20 investors · Other TechnologyRule 506(b)
- 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
Source: SEC EDGAR Form D. Amounts as filed; amended filings shown once at their latest values.
Company profile
researched Aug 2026Spice 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 reportedCompany-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 overlapCompanies competing with Spice AI for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline · 7
launches, deals, and filingsSpice 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.
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.
Spice AI presented session STG364 at AWS re:Invent 2025 on operationalizing data lakes for AI using Amazon S3.
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.
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 ↗
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.
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 structureIn the news
SPICED Scheme for Spice Processing Business in Indianiir.org · Jul 2026Frequently 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.











