Human-Verified Data for Enterprise AI 

Welo Data is the human-infrastructure and data quality backbone for enterprise AI. As a Databricks Technology Partner, we help teams bring human-verified, multilingual training and evaluation data into their Databricks environments to support higher-quality, globally aligned AI systems. 


Better Together

We design, produce, and validate human-in-the-loop data workflows across 250+ languages. Through a simple, secure storage integration, Databricks customers can receive curated datasets and evaluation outputs from Welo Data and manage them directly in the Lakehouse using existing governance and analytics tools.

Welo Data + Databricks help enterprises operationalize AI quality by combining human-in-the-loop expertise with a unified data and AI platform.

How Welo Data Works with Databricks

Welo Data supports Databricks customers through a storage-based integration. Databricks remains the system of record, while Welo provides human-verified data and evaluation artifacts. 

  • Curated training sets, multilingual corpora, and scoring outputs 
  • Delivered via secure storage compatible with Databricks environments 
  • Easily analyzed using existing Databricks governance, analytics, and reporting 

For Databricks Sellers

Welo Data supports Databricks sellers working with customers exploring multilingual, evaluative, or high-compliance AI use cases.

Introduce Welo Data when customers need to evaluate LLMs or benchmark model performance

Support teams building AI in regulated or linguistically complex markets

Keep the Lakehouse as the single governed environment while adding human-validated insights

Who We Serve

  • Heads of AI/ML
  • VPs of Research
  • Heads of Model Evaluation/MLOps
  • Responsible AI and Trust & Safety leaders
  • Domain-specific AI leads (life sciences, finance, legal, STEM)
  • Product directors supporting multilingual or regulated workflows

These teams rely on Welo Data to evaluate and improve models that must perform reliably across languages, domains, and compliance environments—while centralizing data and results in Databricks.