Kadoa

Description

Kadoa provides a comprehensive web data layer specifically tailored for the finance industry, empowering investment firms with efficient and reliable data extraction capabilities. The platform streamlines the process from data sourcing to dataset generation, allowing users to describe their data needs in plain language and receive structured datasets within minutes.

For analysts, Kadoa offers a self-serve UI and MCP (Managed Code Platform) that requires no coding. By simply describing the desired data, users can generate datasets rapidly. Engineers can leverage Kadoa to write and run ETL code natively, migrating existing pipelines and benefiting from the platform's scaling, monitoring, and self-healing features. Data can be pushed directly into cloud data warehouses like S3, Snowflake, and BigQuery, eliminating the need for maintaining glue code.

Kadoa emphasizes reliability and auditability. Every data point is source-grounded, allowing users to trace its origin to the exact page, paragraph, or cell. The platform incorporates robust data quality checks, validating extracted values for completeness, plausibility, and schema adherence, with the option to add custom domain rules. Its self-healing capabilities automatically detect and fix broken workflows, logging every resolution for transparency. In cases where automated recovery fails, users receive immediate notifications with full context.

The platform is built with enterprise-grade security, featuring SOC 2 certification, encryption at rest and in transit, and regular penetration testing. It offers granular access control, SSO/SAML integration, and strict data isolation. Kadoa ensures data is under the customer's control, with options for on-premise or private cloud deployment, and guarantees that customer data is never shared or used for AI training. Automated compliance rules and sensitive data detection further enhance regulatory adherence.

Kadoa's AI-driven approach generates deterministic code, ensuring verifiable data outputs rather than black-box LLM results. This allows users to maintain full control over their mission-critical data pipelines. The system comprises an orchestrator that selects appropriate skills and sub-agents for discovery, navigation, extraction, transformation, code review, and validation, all managed by the Kadoa Engine.

Kadoa's Core Features

• Automated data pipeline generation

• Data extraction from websites, PDFs, and spreadsheets

• Source-grounded and audit-ready data outputs

• Automated data quality checks and validation

• Self-healing capabilities for broken workflows

• Real-time monitoring and alerts for data changes

• Direct integration with cloud data warehouses (S3, Snowflake, BigQuery)

• No-code dataset building for analysts

• Native ETL code execution for engineers

• Enterprise-ready security and compliance features

• Transparent error handling and recovery

• Observability dashboard for workflow metrics

How to use Kadoa?

1. 1

   Describe your data need: Use plain language to specify the data you require.

2. 2

   Build your dataset: Kadoa's AI agents generate the data pipeline.

3. 3

   Deploy and monitor: Run the pipeline and track its performance.

4. 4

   Integrate data: Push extracted data directly into your data warehouse.

5. 5

   Configure alerts: Set up real-time notifications for data changes.

Kadoa's Use Cases

• Investment Research
• Portfolio Monitoring
• Real-Time Alerts
• Document Analysis
• AI Agent Data
• ETL Pipeline Migration
• Competitive Analysis

FAQ from Kadoa

• What is Kadoa and who is it for?

  Kadoa is a web data platform designed for investment firms, including hedge funds, asset managers, and private equity firms, to build, deploy, and monitor web data at scale.

• How does Kadoa generate datasets?

  Kadoa uses AI agents to generate deterministic data pipelines based on your plain-language descriptions of the data you need, extracting information from websites, PDFs, and spreadsheets.

• Can I build datasets without coding?

  Yes, analysts can build datasets in the UI or via MCP using plain language, requiring no coding expertise.

• What kind of data sources can Kadoa extract from?

  Kadoa can extract data from websites, PDFs, images, and spreadsheets.

• How does Kadoa ensure data reliability and quality?

  Kadoa provides source-grounded outputs, data quality checks for completeness and plausibility, and self-healing capabilities for broken workflows.

• What are the security features of Kadoa?

  Kadoa is SOC 2 certified, offers encryption, regular penetration testing, SSO/SAML, granular access control, and strict data isolation.

• Can I deploy Kadoa on my own infrastructure?

  Yes, Kadoa offers on-premise or private cloud deployment options to keep your data under your control.

• Does Kadoa use customer data for AI training?

  No, Kadoa guarantees that your data, workflows, sources, and schemas are strictly proprietary and confidential and are never used for AI training.

• How does Kadoa handle real-time data updates?

  Kadoa provides real-time alerts for market-moving data changes via Slack, email, or webhooks.

• What happens if a data extraction workflow breaks?

  Kadoa automatically detects and attempts to fix broken workflows. If automated recovery fails, you are notified immediately with full context.