Alloy Platform
Machine Intelligence for Enterprise Interoperability
Alloy uses machine intelligence to set up and maintain interoperability across EDI, APIs, ERPs, and partner systems.
Alloy is capable of reasoning across all the artifacts used when setting up connections, including implementation guides, standards, internal data models, and the data that flows through connections. Through this reasoning, we can dramatically speed up connectivity workflows like trading partner onboarding.
Enterprise interoperability is still largely manual
Despite advancements in integration software, most interoperability work still depends on humans to manually:
This creates:
Alloy replaces much of this manual work with machine intelligence that understands enterprise data semantics and integration constraints.
Alloy reasons across interoperability artifacts
Alloy ingests and reasons across:
Using this context, Alloy can carry out the full trading partner onboarding workflow in EDI/API settings:
Trading partner onboarding, accelerated by machine intelligence
Alloy’s first production deployment focused on one of the most operationally expensive interoperability workflows: onboarding trading partners for EDI and API integrations.
In production with one of the three largest EDI/API/B2B integration companies, Alloy reduced onboarding mapping time by 74.5%.
Work that previously required nearly a full week can now often be completed in roughly a day and a half.
Architecture and deployment
Alloy’s frontend is built on top of services and engines. Capabilities can be exposed through APIs for tasks like implementation guide interpretation and mapping.
This means Alloy can be deployed in your system in multiple ways:
The platform integrates with existing systems including:
Alloy is designed to complement—not replace—existing tools and infrastructure.