Machine intelligence for
data mapping and integration
Building systems that autonomously map, translate, and maintain enterprise data flows, starting with EDI and B2B integration.
Alloy: our integration platform, built on research
Explore the platformAlloy is our flagship platform that embeds machine intelligence to set up and maintain integrations across EDI, APIs, ERPs, and partner systems.
Interpret
Understands how systems represent their data, from documentation and specifications to models and samples.
Map
Produces the mappings, transformations, and validation logic needed to connect systems.
Maintain
Monitors changes in requirements and helps teams update mappings before integrations break.
Integrates with BoomiIBM SterlingCleoyour translator
74.5% faster EDI mapping for TrueCommerce
In a deployment with TrueCommerce, a top-3 global EDI/B2B integration provider, the Alloy platform dramatically reduced EDI mapping time and costs.
EDI mapping was slowing down trading-partner onboarding
TrueCommerce teams spent significant time reading implementation guides, comparing samples, interpreting schemas, and building maps by hand.
Alloy turned integration artifacts into mappings
Alloy processed implementation guides, raw EDI messages, schemas, and rules to generate mapping outputs that helped engineers move faster.
The result was faster, cheaper, more reliable onboarding
In production with TrueCommerce, Alloy improved setup time, mapping throughput, and operational cost. Reliability, consistency, and mapping accuracy were also improved.
Implementation guides
Raw EDI
Data models
Business rules
Correspondence
Alloy
Reasoning layer
Draft mappings
74.5%
Reduction in time to set up partner mappings
14 to 3.6 days
Average setup time reduced from two weeks to under four days
$265,150
Projected annual operational savings
Research that defines the future of data integration
Developing machine intelligence for schema matching, entity resolution, and data integration in messy, high-stakes enterprise environments.
Our team
Andrew Bell
CEO
Computer Science PhD from NYU; published A* Artificial Intelligence and Machine Learning research.
Isaac Fisher
Founding Software Engineer
Computer Science from NYU; experience building and shipping products for startups.
Kai Spicer
Summer Engineer
Computer Engineering at Columbia University; Physics and Machine Learning research at PNNL.
Enver Menadjiev
Visiting Researcher (NYU ↔ Cornell)
Computer Science PhD Candidate at KAIST; published A* AI and ML research; 5+ years as a SWE.
Working on complex data mapping or EDI integrations?
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