Is self-hosting available?

Yes, self-hosting is available for Dedicated plans. Claro provides Kubernetes Helm charts or can set up a managed VPC in your environment.

How is the confidence score computed?

Confidence combines four factors: retrieval overlap similarity, model log-probability variance, proprietary agent-as-judge ensemble evaluation, and source reliability ranking.

What file types does Claro support?

Claro currently supports PDFs and contracts for document processing. Word documents, PowerPoint slides, and plain text files are being added in upcoming releases.

How do I get support?

Free and Starter plans include community support via Claro's Slack channel. Dedicated plans include priority support with dedicated success team access.

Why choose the Claro model over others?

The Claro model offers the best value at just 2 credits per row and includes confidence scoring and citations as standard features.

What features does Claro offer?

Claro offers AI Research Agent for generating verified datasets, document processing for extracting structured data from PDFs, list enrichment by scanning websites, classification for automatic categorization, and monitoring to track pricing and changes across sources in real time.

Where does AI processing run?

Currently, all AI processing runs through Claro's managed infrastructure. Every AI response is grounded in your real data and always linked back to its original source for full transparency.

Claro

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Claro is an AI-powered data enrichment and research automation platform that transforms fragmented product and supplier data into structured, machine-legible entities through intelligent agents operating directly within a native table interface.

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更新時間：2026年04月21日

什麼是 Claro

Claro is a comprehensive data infrastructure platform founded in 2024 by Matteo Fava and Tameesh Biswas, former executives from Delivery Hero and Yelp. The platform addresses the critical challenge of product and supplier data fragmentation across feeds, files, documents, and systems in multi-supplier enterprises. Operating as a control plane above traditional systems of record, Claro consolidates disparate data sources, automatically resolves duplicates, standardizes supplier feeds, fills missing attributes, and continuously validates product data to maintain consistency across systems. The platform combines AI-powered research agents with data enrichment capabilities, allowing teams to automate manual research tasks, generate and enrich lists, monitor pricing, and process hundreds of documents in minutes—all within a familiar table interface that requires no technical expertise.

Claro 的主要功能

Claro is an AI-powered data enrichment and research automation platform that transforms fragmented, inconsistent data into structured, machine-legible entities. It operates as a control plane above traditional systems of record, consolidating product and supplier data, resolving duplicates, filling missing attributes, and continuously detecting catalog issues. The platform features AI research agents that work within a native table interface to automate manual research tasks like list enrichment, document processing, classification, and real-time monitoring. Every AI response is grounded in real data with full transparency through citations and confidence scoring, making it ideal for enterprises dealing with complex product data across suppliers, internal teams, and channels.

AI Research Agents: Generate and enrich lists, research companies, monitor pricing, or process hundreds of documents in minutes through natural language prompts within a native table interface, with all results structured and traceable.

Automatic Data Consolidation & Deduplication: Automatically resolves duplicate entities, standardizes supplier feeds, validates product data, and fills missing attributes to maintain catalog consistency across systems.

Document Processing & Extraction: Upload PDFs, contracts, or unstructured documents to extract structured data and key fields, transforming unstructured sources into actionable datasets.

Real-time Monitoring & Anomaly Detection: Track pricing, availability, and changes across sources in real time, proactively identifying and detecting anomalies when supplier data changes unexpectedly.

Confidence Scoring & Citations: Every AI response includes confidence scoring based on retrieval overlap, model probability, ensemble evaluation, and source reliability, with all outputs linked back to original sources for full transparency.

Flexible Deployment Options: Offers cloud-based managed infrastructure, self-hosting via Kubernetes Helm charts for dedicated plans, or managed VPC setup in your environment, with tailored deployment plans that fit your organization.

Claro 的使用案例

Supplier Catalog Onboarding: Accelerate supplier onboarding by automatically consolidating, standardizing, and validating product catalogs from multiple suppliers, reducing manual data entry and ensuring consistency across systems.

Retail & Marketplace Product Data Management: Enable retailers and marketplaces to maintain clean, enriched product catalogs with automated duplicate resolution, attribute enrichment, and real-time quality monitoring for improved search and discovery.

Procurement & Pricing Intelligence: Support procurement teams by monitoring supplier pricing and availability in real-time, enriching vendor data, and extracting key terms from contracts to enable data-driven purchasing decisions.

Distributor Operations Optimization: Help distributors and operators structure product data from multiple sources, standardize schemas across suppliers, and maintain catalog quality for seamless integration with ERP and PIM systems.

API-First Software Platform Integration: Provide API-first software platforms with canonical, entity-aware data that syncs to ecommerce, analytics, and other downstream systems with audit trails and governance controls.

Automated Research & List Building: Generate verified, enriched datasets by describing research criteria in natural language, automatically scanning websites for structured datapoints, and building comprehensive company or product lists in minutes.

優點

Cost-effective pricing at just 2 credits per row with confidence scoring and citations included as standard features

Full transparency with all AI responses linked back to original sources and comprehensive confidence scoring

Flexible deployment options including self-hosting for dedicated plans with Kubernetes support

Native table interface that keeps research and data operations within existing workflows without tool switching

缺點

Self-hosting feature only available for dedicated plans, limiting deployment flexibility for smaller teams

All AI processing currently runs through Claro's managed infrastructure until Q4 2025 when additional options are planned

Founded in 2024, making it a relatively new platform with limited track record compared to established competitors

Free and Starter plans only include community support via Slack, with priority support reserved for dedicated plans

如何使用 Claro

1. Start with your master table: Begin by setting up your data foundation. You can import an existing CSV file, upload a supplier catalog, use a generated dataset, or start with a blank table. Your research will live directly inside this dataset rather than in a separate tool.

2. Choose your research task: Select what you want to accomplish from Claro's capabilities: enrich rows with external data, extract key fields from unstructured sources, generate tables from documents, structure geographic insights, create a blank table from scratch, or run predefined agents. All tasks run directly inside your table interface.

3. Define your column and task: Add a new column to your table and define the specific task you want to perform. For example, you can add a column like 'Research recent news, funding, or certifications for @company_name' or create SEO-ready metadata. Describe your criteria in natural language.

4. Select your AI model: Choose the Claro model for the best value with confidence scoring, or select from other available AI models based on your needs and budget.

5. Run and scale your task: Execute your defined task across your dataset - whether it's 10 rows or 100,000 rows. Claro will process the data automatically, with every AI response grounded in real data and linked back to its original source for full transparency.

6. Visualize and analyze results: Instantly visualize and analyze your enriched data directly within the table interface. No need to copy-paste or switch between tools. All results are structured and ready to use.

7. Monitor and maintain data quality: Use Claro's continuous monitoring to proactively identify and detect anomalies when data changes unexpectedly. The platform automatically resolves duplicates, standardizes data feeds, and validates information to keep your catalog consistent across systems.

8. Scale up with additional tasks: As your needs grow, add more data and additional AI tasks. Access the community Slack channel or comprehensive video tutorials and step-by-step guides for help with advanced features.

Claro 常見問題

Claro is an AI-powered research automation tool built for automating manual research. It enables users to generate and enrich lists, research companies, monitor pricing, and process hundreds of documents in minutes through a native table interface.