Lume Raises $4.2M Seed Round Led by General Catalyst

We’re excited to announce our $4.2M Seed Round, led by General Catalyst, with participation from Khosla Ventures, Floodgate, Y Combinator, Soma Capital, and angels from Opendoor, Predibase, Orrick, and more.

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The Challenge of Data Integrations

Since the birth of databases 60 years ago, moving data seamlessly between systems has remained an unsolved problem. Despite advances, integration is still a manual process because every system interprets and structures data differently.

This reformatting—called data mapping—is complex and human-driven. Variations are endless and can’t be captured by one algorithm. As a result, companies dedicate disproportionate resources to integrations, slowing scalability.

On average, prospects spend ~5 weeks mapping to a new system. Some companies report up to 4 months per customer solely on integration, with cases of over 11 months.

Engineers—data scientists, data engineers, and solutions teams—end up spending valuable time onboarding new customer data systems instead of building products. Lume exists to solve this.

Lume: Automating Integrations with AI

Lume Cofounders

At Lume, we’re solving manual integrations for the first time, thanks to large language models and our unique approach to data transformation.

Our core innovation is a semantic understanding of data, enabling AI to recognize nuances between systems and automatically create mappings. Our mission is to be the universal translation layer between systems.

Lume offers both an API and a Web Platform, featuring:

AI-generated mapping logic
Review & editing workflows for mappers
Infrastructure to manage thousands of mappings
Embeddable APIs for integration in code
A no-code Web Platform for mapping workflows
Direct connectivity to systems for data read/write

Core Use Cases

Lume supports three primary use cases:

Onboarding client data
Normalizing data from multiple sources
One-to-many integrations

Real-World Impact

CRM & ATS enterprise → 95% mapping accuracy in customer migrations, cutting onboarding time significantly.
Battery analytics company → Reduced mapping from weeks to 4 days (75% faster).
Fintech startup → ~1,500 live data pipelines, piping millions of external-facing data batches, adapting continuously.

The common theme: mapping data between unique schemas where even small column name differences cause bottlenecks. What once took months with costly manual effort, Lume automates.

Funding and Roadmap

This funding allows us to expand in AI research and data infrastructure, tackling the long-standing bottleneck of integrations.

Planned next steps include:

Advanced testing & validation suites
Embeddable UIs for customer data uploads and edits
A library of direct connectors to apps & databases

If your team spends valuable time on customer onboarding, normalization, or integrations, Lume can help.

👉 Request a demo

Lume Cofounders

Cofounders: Nicolas Machado, Robert Ross, Nebyou Zewde