Protect AI vs Dataland
Side-by-side comparison of AI visibility scores, market position, and capabilities
Protect AI is an MLSec platform helping organizations discover and remediate security vulnerabilities in AI systems including ML pipelines and model supply chains.
About
Protect AI is an AI security company founded in 2022 by former AWS and Oracle AI engineers, raising $108M across Series A and B rounds. The company focuses on machine learning security, addressing the unique attack surfaces created by AI systems including model poisoning, adversarial attacks, and vulnerabilities in ML supply chains such as compromised model files hosted on public repositories. Protect AI's platform includes tools for scanning model files for malicious payloads, monitoring ML pipelines for anomalous behavior, and managing AI system governance and compliance. The company open-sourced ModelScan, a tool that detects malicious code embedded in serialized model files, which has become widely adopted by the security community. As organizations deploy AI in mission-critical applications, Protect AI has positioned itself as essential infrastructure for AI governance and security teams. The platform serves enterprises in financial services, healthcare, and government where AI security and regulatory compliance requirements are most stringent.
NY no-code collaborative database with workflow automation received M&A offer April 2025; YC W20 $1M revenue competing with Airtable and Notion for business operations teams without SQL expertise.
About
Dataland is a New York-based no-code collaborative data management platform — backed by Y Combinator (W20) with funding from South Park Commons and Switch Ventures — providing business teams with a spreadsheet-like interface for centralizing, structuring, and automating business data workflows without SQL expertise, generating $1 million in revenue in 2024 with a 5-9 person team. Received an M&A offer in April 2025, positioning as a competitive alternative to Airtable and Notion in the growing no-code database market.
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