Clean and standardize operational data with AI
Consolidate product and supplier data into a consistent structure. Claro ensures your data remains clean, complete, and current.

Retail and marketplaces
Prepare product data for launch and discovery at scale.
Claro helps teams to standardise supplier feeds, resolve duplicates enrich product data, and maintain consistency.
Spend less time fixing spreadsheets.




Industrial distributors and operators
Turn fragmented supplier data into operational systems.
Trusted by innovators and backed by investors, who know data drives growth.
Our solution
Claro AI Automatically cleans, standardizes, and validates data so downstream teams and systems work without friction.
How it works
Your catalog operations, simplified
Claro is built around the real lifecycle of product data from first import to continuous updates.
Custom solution
Built around your business logic not wrap around an LLM
Every supplier ecosystem is different. Claro can be customized to your taxonomy, workflows, validation rules, and integrations so your product data works the way your business actually operates.

Designed for your specific case
Integrated with your in-house systems
Delivered as infrastructure, not a tool
What we offer
Enterprise-grade product data, without the manual work
Claro automates catalog management, adapting to your team and systems. It normalizes units, detects anomalies, integrates with your stack, and ensures compliance for clean, reliable product data.
Customers
See how teams scale with Claro
Explore how companies streamline supplier data, reduce overhead, and strengthen their core with Claro.
FAQ
Frequently asked questions
How does this platform help our team manage financial data better?
Can we connect our existing banks and financial tools easily?
Is our company’s financial data secure and properly protected here?
Does the platform support multiple team members with different access levels?
How long does it take to set everything up initially?











































