Full-Time
Automates data quality, governance, and lineage
No salary listed
London, UK
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Foundational provides a data management platform for organizations using Snowflake, focusing on data quality, governance, and cost optimization. It works by analyzing code and query activity, parsing code, extracting metadata, and automatically enforcing data contracts and quality rules to continuously update data lineage, including column-level lineage beyond the warehouse. Its differentiation comes from tight Snowflake integration, native data quality automation, data contracts, and cross-repository lineage that reduces manual governance work. The goal is to help enterprises keep trustworthy, well-governed data while lowering data-related costs through automated, scalable data quality and lineage management.
Company Size
11-50
Company Stage
Seed
Total Funding
$8M
Headquarters
San Francisco, California
Founded
2022
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Company Equity
Foundational has launched Foundational IQ, a conversational AI interface for enterprise data and AI governance that automates complex compliance and lineage workflows. The platform uses deterministic code analysis across SQL, Python, Java, Scala, COBOL and other languages, running natively within enterprise LLMs including Snowflake, Databricks and AWS. The system operates in two modes: Fast mode for immediate queries and Thinking mode for complex analysis. It can generate audit reports, handle database migrations and classify personally identifiable information—tasks that previously required weeks of manual work. Foundational IQ addresses regulatory requirements including BCBS 239, HIPAA, GDPR and SOX by providing field-level data tracing and lineage documentation. The platform is generally available today as part of Foundational's data governance suite, which analyses source code and transformation pipelines across enterprise systems.
Foundational, a startup aiming to bring order to the chaos of modern data infrastructure, announced today that it has raised $8 million in seed funding led by Viola Ventures and Gradient Ventures, Google's AI-focused investment fund, with participation from angel investors and other venture firms.
Join Gen AI enterprise leaders in Boston on March 27 for an exclusive night of networking, insights, and conversations surrounding data integrity. Request an invite here. Foundational, a startup aiming to bring order to the chaos of modern data infrastructure, announced today that it has raised $8 million in seed funding led by Viola Ventures and Gradient Ventures, Google’s AI-focused investment fund, with participation from angel investors and other venture firms. The company’s platform automatically maps and analyzes data teams’ code to identify potential issues, suggest fixes, and help prepare data for AI applications.After operating in stealth mode for the past year and a half, Foundational is now making its technology generally available, with public companies like Ramp and Lemonade already signed on as customers. Foundational CEO and cofounder Alon Nafta told VentureBeat in an exclusive interview that the company decided it was the right time to share its story more broadly.“In the past year, year and a half or so, we really built the ability to automatically map and understand the code that data teams are writing, and also connect it to this new AI world or universe that we have,” said Nafta. “And to really understand now how we can leverage it both with AI tooling, but also to prepare the data for AI to consume.”Addressing the data quality crisisNafta, who previously worked in cybersecurity and data infrastructure roles, cofounded Foundational to address the growing pains many organizations face as they scale up their data capabilities
Not in recent history has a technology come along with the potential to harm society more than deepfakes. The manipulative, insidious AI-generated content is already being weaponized in politics and will be pervasive in the upcoming U.S. Presidential election, as well as those in the Senate and the House of Representatives. As regulators grapple to control the technology, incredibly realistic deepfakes are being used to smear candidates, sway public opinion and manipulate voter turnout. On the other hand, some candidates, in backfired attempts, have turned to generative AI to help bolster their campaigns.University of California, Berkeley’s School of Information Professor Hany Farid has had enough of all this. He has launched a project dedicated to tracking deepfakes throughout the 2024 presidential campaign