Trusted by engineering leaders
The missing element in your agent architecture
Introducing Materialize
Live context you can trust.
Backed by the best to bring a breakthrough in incremental computation to the enterprise.
Integrate data from any source
Continually and incrementally ingest data from your databases, ERPs, CRMs, and other systems, unify it, and clean it for downstream consumption. Materialize grows more powerful as you connect more sources. Use our secure and scalable SaaS or keep everything air gapped on prem. Materialize separates storage from compute, scaling beyond local memory giving you economical processing for your most demanding operational workloads.
Use SQL to create real-time data products
Transform raw updates into live, canonical business objects that can be queried directly or pushed to downstream systems in real-time. Use Materialize to build a trustworthy, up-to-the-second digital twin of your business that streamlines agent and microservice development. Our groundbreaking incremental computation engine performs the minimal work to keep things up to date as updates happen, without destabilizing your operational databases. Any engineer who knows SQL can now launch a new data product or contextual building block for AI in minutes.
Rapidly deploy use cases from a live context graph
Link your real-time data products into a continuously updated context graph that agents and services can query directly. Offload complex queries from your MCP endpoints and APIs onto incrementally computed data products with single-digit millisecond latency. Keep vector embeddings fresh as source data changes, enabling RAG that's so fresh it's interactive. Every application and agent stays grounded in a trustworthy, up-to-the-second view of your business.
Trusted by engineering and data teams
Support your most demanding AI initiatives with your existing team
Give agents real-time, contextual building blocks so they can discover and react to the data they need at scale. Link context with knowledge graphs so they know where to go next. Agent capabilities grow exponentially as new data products are added. Serve directly from Materialize or keep embeddings and search attributes up to date at a fraction of the cost.
"We serve most concierge traffic on fast, efficient models and get frontier-quality answers — because the context does the heavy lifting, not the model."
"AI has put massive amounts of raw truth in play that we couldn't work with before. Materialize gives us a flexible platform for turning that into live context, in a way that matches how an agent would want to read it."
"Our fraud losses have substantially decreased, and the infrastructure spend for this system has gone down by about 80 percent."
"Loan eligibility rule calculation time decreased by 98.15%, dropping from 27 seconds to half a second."
Start by offloading live context assembly
To get a quick win, add Materialize alongside Databricks, Snowflake, or ClickHouse. Rather than rebuilding context from scratch on every batch run, Materialize keeps it current as the data changes. Tight agentic loops become possible: agents and services see the effect of a tool call or API write right away, not on the next refresh.
Then create a canonical context model
Over time, use Materialize to hold the up-to-the-second view of your business that every system and human agrees on. Agents query it directly via MCP, and the same transformed context flows downstream to power search or feed data lakes and warehouses for historical analysis.