.svg)
The Integration Mechanics
Sift runs live data review across machine and hardware telemetry. As machines operate, Sift watches in real time, applying engineer defined rules to flag anomalies the second a system drifts.
Foundry connects those signals to the broader enterprise. Through its Ontology, it links telemetry to specific components, manufacturing workflows, and operational history.
Logical inferences from this combined data are surfaced through AIP, powering automated workflows across the entire operation.
Instead of simply seeing that something went wrong, engineering and manufacturing teams now have the full picture. By pairing real time detection with downstream workflows, teams can instantly attach an issue to its relevant subsystem context and route it directly to an operator. Engineers don't just find problems; they understand the why and can act on it immediately.
Complementary Technology, Shared Mission
The Sift's rules engine is supercharged by Foundry's AIP.
More than the technology, there's a shared ethos. Palantir's Warp Speed initiative and Sift's mission both tie back to the same goal: rebuilding American hardware manufacturing. It felt like a natural place for people with the same vision to come together and build in a complementary way.
Gui Calvalcanti, who spent years at Palantir before joining Sift, put it this way:
Having been on the Palantir side, I can say this felt like a natural place for people with the same ethos to come together. Palantir's Warp Speed goals and Sift's mission both tie back to rebuilding American manufacturing. Shared goals, complementary technology. When we connected with the Palantir team, it was clear we were building toward the same thing, just from different angles. Sift picks up where Foundry leaves off, and Foundry's AIP supercharges what Sift's rules engine can do.
Inside the Integration
Through the Palantir Startup Fellowship, our engineering team built an integration that extends Palantir's Warp Speed manufacturing capabilities with Sift's real-time data review for hardware in development. Foundry serves as the digital-twin and orchestration layer. Sift is the storage and analysis layer for all machine and hardware data flowing off those systems.
Ontology Sync. Data from Foundry's ontology enriches the data review and fault localization process inside Sift. When Sift flags an issue, that annotation gets federated back into Foundry with a workflow that maps the fault directly to a specific sub-component. An agentic workflow recommends attributions that a human operator validates.
AI Rule Creation. Foundry processes machine data and develops human-readable logic that feeds into Sift's rules engine. AIP's agentic workflow analyzes patterns and generates rule recommendations that engineers can review and deploy. Foundry's analytical capabilities make Sift's rules engine smarter over time.
Real-Time Evaluation from Foundry. Teams can orchestrate Sift workflows directly from within Foundry, extending Warp Speed into live data review for hardware under test. The data stays in Sift. The context stays in Foundry. To the engineer, it works as one system.
