Kadoa builds and maintains mission-critical web data pipelines for investment teams and AI agents. It is designed to be the complete operating system for web data, focusing on reliability and observability. The platform targets analysts, engineers, and AI agents who rely on timely, accurate public web data for research, analysis, and decision making.
Kadoa describes a workflow where data needs are stated in natural language, and its agents create, monitor, and repair pipelines as sites change. The system emphasizes self-healing behavior, automatic repairs, and continuous verification to keep data fresh and correct without manual rebuilding.
Kadoa emphasizes security and compliance as intrinsic parts of the service, including support for on-premise or private cloud deployment, strict data isolation, and audit logs. It highlights enterprise features such as SSO, automated provisioning, and an SLA for larger teams.
Kadoa presents a development and deployment model that integrates with common data platforms and tools used by finance teams, including Snowflake, Databricks, and S3, and it supports integration with AI assistants and various data delivery endpoints. The aim is to reduce the cost of data and the effort required to maintain reliable datasets.
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