Advancing the future of connected data systems
Every business speaks its own data language: different formats, different structures, different meanings.
L2 Labs is an applied AI lab developing machine intelligence to translate between them.
Supported by
Bridging the interoperability gap
The next generation of business systems will talk to each other automatically, bridging all the challenges that make data translation hard today: different formats, structures, schemas, rules, and meanings.
L2 Labs builds the machine intelligence that will power that translation layer. Our work spans EDI, APIs, B2B integrations, partner onboarding, and enterprise data systems.
Our solutions include:
- Products: platform for automating EDI/API/B2Bi workflows
- Forward-deployed engineering: deployment teams that work directly on-site with customers
- Research: applied research on interoperability
Our tools are already deployed with a top three global EDI and integration company, where they reduced onboarding cycle time and mapping errors by 50%.
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 shipping and building 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* Artificial Intelligence and Machine Learning research; 5+ years as a SWE