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AI projects: why data quality is your best asset

Your AI models are only as good as the data that feeds them. With Tale of Data, make your data reliable, traceable and governable for high-performance, explainable and compliant AI without a single line of code.

Make my AI data reliable now
AI Powered Data Quality Platform for Data Governance

AI starts with what you give it

In the race for artificial intelligence, many companies focus their efforts on algorithms, infrastructure or data volume. However, the real performance factor in an AI project lies not in the power of the model, but in the quality of the data that feeds it. Incomplete, obsolete or inconsistent data sets inevitably produce biased models, "hallucinations" and erroneous decisions.

Today, the hype surrounding generative models is fading, giving way to a new phase: that of implementing robust systems capable of going into production. The organizations that succeed in this transition, whether using LLMs, agentic architectures or data products, will be those that control their data, from source to use.

“Without structured, reliable, and consistent data, even the most advanced AI models produce approximate results — or entirely incorrect ones.”
jc photo
Jean-Christophe Bouramoué
CTO of Tale of Data

Generative AI and Data Quality: a virtuous circle of performance.

Generative AI has highlighted a simple truth: the performance of a model depends directly on the quality of the data. At Tale of Data, we've transformed this relationship into a virtuous circle where AI improves the data, and reliable data reinforces the value of AIwhetherin LLM, agentic or classic AI cases.

  1. AI reveals the truth of your data
     Generative models amplify what they receive. Noisy data creates hallucinations; controlled data produces reliable, explainable results.
  2. AI speeds up auditing and correction
     Anomaly detection and remediation processes are automated. Data and IT teams gain in responsiveness and accuracy.
  3. Reliable data, accurate models
     Quality datasets reduce bias, stabilize performance and facilitate compliance with GDPR and the AI Act.
  4. Governance aligns and perpetuates
     By bringing Data, IT and Business teams together on a single platform, Tale of Data reinforces trust, transparency and continuity of quality.
Identify the weak points in my AI data
design Site Tale of data (13)

Already adopted by leading organizations

For a CTO or CDO, data quality has become a strategic issue.

Data quality is no longer a technical issue: it's a prerequisite for performance, compliance and trust.

For a CTO

This is the lever that accelerates AI deployments while keeping infrastructure costs under control.

For a CDO

This is the foundation of all responsible governance, capable of documenting, tracing and justifying every piece of data used for model training.

In a regulatory environment dominated by the RGPD and the European AI Act, having reliable, structured and contextualized data is becoming a decisive competitive advantage. For an AI agent, data quality and context are essential: without the right information at the right time, even the most advanced architectures lose effectiveness.

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Tale of Data: the AI-native and No-Code platform that makes your projects more reliable

The first European Data Quality platform dedicated to AI, Tale of Data is positioned as the essential gateway to the success of artificial intelligence projects. It automates data auditing, correction, standardization and governance in a clear, collaborative interface, designed to unite business and technology.

Thanks to an AI-native and No-Code architecture, Tale of Data eliminates obscure scripts and manual processes to offer a clear, collaborative and traceable view of every transformation. Every dataset is qualified, every business rule documented, every flow auditable. In just a few weeks, your teams have a reliable data foundation for deploying robust AI models that comply with European governance standards.

Key Steps in Data Management

Guarantee the performance and compliance of your AI projects

Before optimizing your models, make the data that feeds them reliable.
With Tale of Data, you have a complete platform for auditing your datasets, automating anomaly correction and documenting every stage of the information lifecycle.

This approach enables you to deploy AI faster, more explainable and more accountable, while complying with RGPD andAI Act requirements. Many companies have yet to realize how data quality is the missing link between generative AI and agentic architectures. With Tale of Data, this link becomes concrete, measurable and industrialized.

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AI Data Quality Diagnostic

Fill in this form and then choose the slot that suits you to find out how Tale of Data builds confidence in your AI models by guaranteeing the reliability, traceability and compliance of your data.

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Customers

Don't take our word for it

Read what our customers say about us.

"In the end, I recommend Tale of Data for its data exploration, semantics, formatting, data combination and AI. I can't find it anywhere else, in any ETL".
GrandNancy
Julien Glauzy
Data administrator at Métropole Grand Nancy
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