Side-by-side comparison of AI visibility scores, market position, and capabilities
Soda provides a data quality platform with a DSL for writing data checks that run in the data warehouse, enabling both technical and business teams to define and monitor data quality.
Soda is a data quality company founded in 2017 in Ghent, Belgium that has raised $76M to build a data quality platform that makes testing and monitoring accessible to both engineers and business stakeholders. The company's Soda Checks Language (SoCL) provides a human-readable syntax for defining data quality checks that execute directly within the data warehouse using SQL, avoiding data movement overhead. The platform allows data engineers to embed quality checks in dbt transformations and Airflow pipelines while giving data analysts and business users a no-code interface to define their own checks for business-critical metrics. Soda integrates with major warehouses and observability tools and provides a collaborative interface for tracking data quality across teams. The company targets the full organizational data quality problem rather than just technical monitoring, helping organizations create a shared understanding of data quality standards between technical and business teams. Soda's European heritage and strong data governance focus make it particularly popular with companies in regulated industries and with those navigating GDPR compliance requirements.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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