Kadoa

What Kadoa does

Kadoa, operated by Switzerland-domiciled reviewr.ai AG and headquartered in Zürich, builds an AI-powered web data extraction platform purpose-built for financial services. The core product uses an agentic ETL architecture in which an orchestrator and six specialized subagents (DISCOVER, NAVIGATION, EXTRACTION, TRANSFORMATION, CODE REVIEW, VALIDATION) generate and continuously maintain deterministic extraction code that pulls structured data from websites, PDFs, images, and spreadsheets. Multimodal analysis (vision plus text) enables semantic extraction by meaning rather than CSS selectors, and self-healing workflows automatically regenerate code when source layouts change, with every fix logged for audit. Source grounding, schema-level data quality checks, confidence scoring, and SOC 2 Type II / GDPR / CCPA compliance target regulated enterprise buyers.

The platform is sold primarily to investment firms — hedge funds, asset managers, private equity firms, trading firms, market makers, and investment banks — for use cases spanning investment research, portfolio monitoring, real-time alerts, and documents & filings. Distribution combines a self-serve product-led growth motion (free tier, $99/month entry plan, usage-based credits) with a direct enterprise sales motion targeting large financial institutions. Data is delivered natively into Snowflake, Amazon S3, BigQuery, REST APIs, webhooks, WebSocket streams, spreadsheets, and via an MCP connector for AI agent workflows. Named customer outcomes include an 80% reduction in scraper maintenance time, source onboarding reduced from 2–4 weeks to under 2 hours, and approximately 60% lower ongoing operational costs. The company was founded in 2023 and has raised funding from AIX Ventures (2023) and VI Partners with FYRFLY Venture Partners (2025).

Name

Kadoa

Legal name

reviewr.ai AG

Website

https://kadoa.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Kadoa provides an AI-powered agentic ETL platform that generates and self-heals deterministic web scraping code for financial services. It serves hedge funds, asset managers, PE firms, market makers, and investment banks with self-serve and enterprise deployments, delivering data natively into cloud warehouses.

Ownership category

akta.pro rank

Product category

Alternative Data & Web Data Extraction Platform for Finance

NAICS

Software Publishers (513210)

SIC

Services-Prepackaged Software (7372)

akta.pro industry

PRIMARYBPAEAHAB

Data Engineering, Integration & ETL/ELT Services

Business & Public Services/IT & Digital Services (Managed Services, Systems Integration)/Data, Analytics & AI Services

Keywords

• Web data extraction
• Alternative data platform
• Agentic ETL
• AI web scraping
• Investment research data

Headquarters

HQ city

Zurich

HQ country

Switzerland

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Subscription SaaS: Monthly or annual subscription plans with tiered pricing. Includes free tier for evaluation, paid plans starting at $99/month with usage-based credits for large-scale extraction.
2. Usage-Based Credits: Large-scale extraction uses usage-based credits beyond the base subscription. Pricing scales with extraction volume.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

Kadoa provides an AI-powered Agentic ETL platform ("Web Scraping OS") that lets investment firms generate, run, and maintain web data extraction pipelines from websites, PDFs, images, and spreadsheets without writing code. AI agents autonomously build, monitor, and self-heel deterministic scraping code, with structured delivery into Snowflake, S3, BigQuery, REST APIs, webhooks, spreadsheets, and MCP connectors. The platform targets hedge funds, asset managers, private equity firms, market makers, and investment banks that need reliable alternative data for investment research, real-time alerts, and portfolio monitoring.

Product overview

Kadoa is a unified AI-powered web data extraction platform for the finance industry, built around its Web Scraping OS. The core Kadoa Platform uses autonomous AI agents to generate and maintain deterministic scraping code, enabling analysts to describe data needs in plain language without writing code. The platform integrates with major data warehouses (Snowflake, S3, BigQuery) and delivers data via REST APIs, webhooks, WebSocket streams, and MCP connectors. Key modules include Kadoa Assistant (conversational interface), Real-Time Alerts (Slack/email/webhook notifications), Source Grounded Outputs (audit trail), Self-Healing Workflows (autonomous maintenance), Data Quality Checks (validation), and Observability Dashboard (monitoring). The platform extracts from websites, PDFs, images, and spreadsheets, with use-case-specific workflows for investment research, portfolio monitoring, and documents & filings. Reference implementations include the World Mining Monitor and Jobs Scraper.

Differentiator

Problem solved

Functional benefit

Products and services

• Kadoa Platform (Web Scraping OS) AI-powered web data extraction platform for finance that uses autonomous agents to generate and maintain deterministic scraping code across websites, PDFs, images, and spreadsheets, with self-healing workflows and cloud-native delivery. Sold to hedge funds, asset managers, PE firms, market makers, and investment banks.
• Kadoa Assistant Conversational assistant layered on Kadoa's Web Scraping OS that lets analysts describe data needs in plain language and retrieve structured datasets via UI or MCP, without writing code. Targets analysts at investment firms and AI agent workflows.
• Kadoa Real-Time Alerts Real-time monitoring product that delivers market-moving data change notifications via Slack, email, or webhooks, with full context on failures and recovery attempts. For traders, analysts, and data teams at investment firms.
• Investment Research Workflows Pre-configured extraction workflows that surface job postings, pricing data, consumer sentiment, and corporate website updates as investment signals. For hedge funds and asset managers running alternative-data strategies.
• Portfolio Monitoring Workflows Pre-configured extraction workflows that monitor portfolio companies for changes across their websites, filings, and public data sources. For PE firms, asset managers, and investment professionals tracking portfolio positions.
• Documents & Filings Workflows Pre-configured extraction workflows that pull and normalize data from SEC filings, earnings reports, and regulatory documents across cross-regional company filings. For quant funds, investment banks, and research analysts needing broader and faster filing coverage.
• World Mining Monitor Public reference implementation of Kadoa that tracks global mining production KPIs extracted from public filings across countries and companies, normalizing different units, fiscal years, and product naming conventions. Used as a demo and open-source showcase for Kadoa's extraction capabilities.

Quantifiable outcome

• 80% reduction in time spent building and maintaining web scrapers
• +3 more outcomes

Named customers6 records

Segments1 record

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration11 records

AI capability8 records

Feature6 records

Partnerships

Five partnerships are on record, tiered core and minor.

• SnowflakecoreTechnology or IntegrationNative integration with Snowflake for direct data delivery into Snowflake data warehouses. Part of cloud-native delivery pushing data directly into customer's data infrastructure.
• Amazon S3coreTechnology or IntegrationNative integration with Amazon S3 for direct data delivery into S3 buckets. Part of cloud-native delivery pushing data directly into customer's data infrastructure.
• Google BigQuerycoreTechnology or IntegrationNative integration with Google BigQuery for direct data delivery into BigQuery data warehouses. Part of cloud-native delivery pushing data directly into customer's data infrastructure.
• MCP (Model Context Protocol)coreTechnology or IntegrationKadoa's MCP connector enables AI agents to query and retrieve structured web data directly within AI agent workflows. Analysts can access Kadoa datasets via MCP for AI agent consumption.
• World Mining Monitor (Open Data Project)minorStrategic or Co-development PartnerPublic demo project at mining.kadoa.com extracting global mining production KPIs from public filings. Available on GitHub (kadoa-org/world-mining-monitor). Demonstrates Kadoa's data extraction capabilities for commodity and natural resources data.

Scale indicators9 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Import.io: Enterprise web data platform offering data extraction, transformation, and delivery into warehouses. Competes with Kadoa for enterprise data extraction workloads, with a longer operating history and more established Fortune 500 footprint.
• Bright Data: Largest commercial web data platform offering proxy networks, scraping APIs, and pre-collected datasets. Directly comparable to Kadoa as a vendorized solution for large-scale web data extraction, though broader and less AI-agent-centric.
• Diffbot: AI-powered web data extraction platform using computer vision and NLP to turn web pages into structured knowledge graphs. Competes head-on with Kadoa's multimodal, AI-driven extraction approach for enterprise data buyers.
• Apify: Cloud platform for web scraping and automation with a marketplace of 'actors' (scrapers) and developer APIs. Competes with Kadoa's self-serve, code-first approach to building and running extraction pipelines at scale.
• Browse AI: No-code AI web scraper aimed at business users, with scheduled monitoring and structured data extraction. Overlaps with Kadoa's self-serve analyst experience, though focused on SMB rather than finance enterprise.
• Zyte: Enterprise web scraping provider (formerly Scrapinghub) offering AI-assisted extraction, proxy infrastructure, and managed scraping services. Closest direct competitor in the enterprise / data-vendor segment of the same market Kadoa targets.
• Octoparse: Visual, no-code web scraping tool with cloud extraction and scheduled runs. Overlaps with Kadoa's analyst-friendly UI but targets broader mid-market rather than finance-specific enterprise.

Emerging players

• RavenPack: Alternative data provider focused on news, sentiment, and entity-level analytics for hedge funds and asset managers. Overlaps with Kadoa as a finance-targeted data vendor, though RavenPack curates pre-built datasets rather than offering an extraction platform.

Broad incumbents

• Palantir: Enterprise data platform with deep penetration in financial services. Competes indirectly with Kadoa for the same budget line — alternative and external data infrastructure inside hedge funds and banks.
• Databricks: Broad data and AI platform widely used by hedge funds and asset managers for data engineering and ETL. Competes indirectly with Kadoa as an alternative 'place' to build and run financial data pipelines, including web-derived data via custom code.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/kadoa

Compliance3 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds2 records

Investors3 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Kadoa