Structured Labs

Cos'è Structured Labs?

Structured Labs is building knowledge infrastructure for the agentic internet. The company describes its work as creating the training-data layer that turns a business’s knowledge into structured, high-fidelity data.

That output is meant to power search, recommendation, and intelligent applications. The public site also identifies Structured Labs as the team behind Waldium and Preswald, and says the company is backed by Y Combinator, General Catalyst, Z Fellows, and others.

Cosa può fare Structured Labs?

Knowledge infrastructure

Structured Labs positions itself as a knowledge infrastructure company, focused on converting business knowledge into structured data rather than leaving it in unstructured text.

Training-data layer

The company says it builds the training-data layer for the agentic internet, indicating a workflow centered on preparing data that AI systems can use downstream.

Structured, high-fidelity outputs

Its stated goal is to turn business knowledge into high-fidelity structured data, which suggests an emphasis on data quality and consistency for machine consumers.

Downstream application support

The site ties that data layer to search, recommendation, and intelligent applications, showing that the output is intended to support multiple kinds of AI-powered products.

Related product family

Structured Labs presents itself as the team behind both Waldium and Preswald, which signals related work across the same product family.

Casi d'uso

“AI search systems”

Teams building AI search can use structured business knowledge as source data for retrieval and ranking, rather than relying only on raw documents.

“Recommendation engines”

Recommendation products can use cleaner structured inputs when they need consistent attributes, entities, or relationships to inform ranking or personalization.

“Agentic applications”

Organizations creating intelligent applications can use a data layer that prepares knowledge for downstream models and agents.

“Knowledge structuring workflows”

Companies with internal knowledge scattered across sources may use the product’s positioning to frame a structured-data pipeline around that information.

Domande frequenti

What does Structured Labs do?

Structured Labs says it is building the training-data layer for the agentic internet, turning business knowledge into structured, high-fidelity data for search, recommendation, and intelligent applications.

How do users get started?

The public site does not describe setup steps or product documentation, so there is not enough evidence to say how teams get started beyond contacting the company.

What integrations does it support?

The source does not list integrations, APIs, or supported platforms, so compatibility details are not available from the current site content.

Who should contact the company?

The company site says it is headquartered in San Francisco and invites interested parties to contact founders@structuredlabs.com for more information.