Your ERPs, warehouse systems, and transportation systems are disconnected and your team is flying blind. Materialize turns that siloed data into real-time data products that keep your operators, applications, and AI agents up to date in seconds, not hours.
Your enterprise runs on dozens of databases (ERP, WMS, TMS, MES) and no one can get a consistent picture. Operators toggle between five screens to piece together what's happening with a shipment. Buyers commit to orders against yesterday's inventory. Clients call about deliveries your system still shows as in transit.
Materialize is the live data layer for the whole enterprise. Use a real-time medallion architecture to continuously transform siloed operational data into trustworthy, semantically meaningful data products, just using SQL. One live model of your business. Every workflow, every application, every client integration, and every AI agent builds on it.
As a shipment moves through your network, an operator may need to file a customs clearance, call a trucker, or escalate an exception; they need the consolidated picture in seconds. If the data is even slightly behind, the wrong action gets taken. If a client gets a stale notification, you lose their trust forever.
Materialize lets you define freight entities (loads, legs, stops, events, invoices) as real-time data products that stay continuously up to date across your TMS, WMS, and ERP. Query them on demand, subscribe to changes, or push updates into client ERPs the moment anything moves. Your operators stay in the workflow thread, your client integrations run in real-time, and your AI agents get the same live context to draft quotes or flag at-risk loads.

Your inventory is always moving. The moment you snapshot it, that view drifts further and further from reality. Operator decisions based on stale data lead to costly mistakes. Your team spends hours pulling from multiple databases, exporting to Excel, and reconciling things just to get a unified picture. By the time they can act, the world has changed.
Materialize integrates your inventory sources into live views of SKU positions, allocations, in-transit quantities, and reorder thresholds that update within seconds of any change. Your replenishment systems work against current state. Your partners get trustworthy inventory streams they can build their own decisions on. And your AI agents get accurate stock context without a separate data pipeline.
As a product moves through your production lines, operators need to know which machines are running, what's assigned where, and whether a quality event upstream has already been flagged. If changes on the floor take hours to show up in your systems, bad decisions cascade. Quality issues travel further before anyone catches them, and every minute of unplanned downtime costs more than the last.
Materialize turns plant floor data into live data products representing production runs, machine states, and product assignments that stay up to date as source systems change. Your operators act on what's happening now, not what happened hours ago. Your predictive models run on live data without a separate pipeline to maintain. And new data sources onboard in days instead of months.
Your clients and partners want the status of a shipment, the availability of a SKU, and the state of an invoice in their own systems, not in a portal they have to check.
With Materialize, the same real-time views powering your internal systems feed outbound integrations to client ERPs, partner APIs, and notification systems. Define the logic once in SQL and push trustworthy updates to downstream systems as things change. No separate caching layer, no reconciliation jobs.
Every source transaction is reflected as one atomic update across all downstream views. No partial invoices, no intermediate states, no stale joins. You will never send a client or an operator a number you can't trust.
Build new data products from existing ones, with strong consistency guarantees that keep everything in sync. Define a data product once and reuse it across teams and use cases.
Use SQL to query live views on demand or subscribe to changes, so applications receive updates the moment data moves.
Transform raw CDC streams through governed layers into semantically meaningful real-time data products.
Ingest changes from your core systems of record without batch ETL. Your production databases stay untouched by downstream query load.
Define shipments, inventory positions, and production runs in standard SQL. Anyone who knows SQL can build and maintain the model. No custom services, no complex streaming code. New use cases go from idea to production in hours.

Get a quick win by adding Materialize as a speed layer alongside your batch-based systems. This avoids the costly transformations required to keep up with live data and lets you see the impact of actions that would otherwise be too complex to calculate reactively.

Over time, use Materialize to create the authoritative representation of your business in the moment. Query Materialize directly while sending events downstream to power core processes or enable historical analysis.