Store raw data, not vectors
We provide Encoder-as-a-Service, so that your database can understand your data - no ETL pipelines or external APIs required.
Matrix0The Serverless Data &Compute Runtime for AI Apps
Matrix0 combines PostgreSQL, elastic compute, and SQL-driven processing into one unified platform. Run analytics, data pipelines, feature engineering, vector search, and Agent workflows directly through SQL — without managing infrastructure or compute clusters.
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A simpler way tobuild AI infrastructure
Matrix0 replaces fragmented stacks with a unified serverless platform for vector storage and model computation, turning weeks of infrastructure work into days.
Run AI locally, sync globally
A built-in sync engine enables seamless querying across cloud, local, and edge environments.
Maintenance-free
No clusters, no pipelines - everything is managed automatically out of the box.
Pay only for what you use
Powered by CXL memory pooling with millisecond coldstarts - scale to zero and never pay for idle resources.
One database layerfor AI apps and operational products.
Matrix0 is the practical foundation for teams that need fast onboarding, built-in vector retrieval, public connectivity, and operational visibility to move from experiments to real-world services.
AI agents
Persist memory, tool outputs, user state, and vector indexes used during retrieval and planning.
RAG systems
Store chunks, embeddings, source metadata, and similarity search results in PostgreSQL with pgvector.
LLM gateways
Back LiteLLM deployments with a managed database for model configuration and backend service data.
Analytics apps
Keep structured records, usage data, and reporting tables accessible through familiar SQL workflows.
Invented for every AI builder
AI developers
Upload raw data and let the system handle embeddings automatically. With Encoder-as-a-Service, you can skip ETL pipelines and embedding APIs - data becomes queryable in under a second.
Enterprise teams
Scale infrastructure up and down automatically with real serverless behavior. CXL-native architecture enables millisecond cold starts and zero idle cost, reducing operational overhead and infrastructure spend.
Frontend developers
Run vector search directly in the browser with seamless cloud sync. Cache indexes locally, sync incrementally, and deliver low-latency, privacy-first AI experiences.
Algorithm engineers
Experiment, compare, and roll back data states instantly. With point-in-time recovery and branching, evaluate model performance across different data snapshots with ease.
From setup to production