Clean, high-quality datasets
No “toxic data,” no questionable sources, no synthetic model-generated content.
At DataPlus, we are building an innovative platform for the collection, management, and delivery of high-quality, secure datasets designed specifically for training artificial intelligence (AI) systems.
Our Differentiator: Human-Centric Data
We focus on real-world, human-centric data, legally sourced, fully documented, and thoroughly verified. Every data point comes with clear provenance and full rights documentation, ensuring responsible, transparent, and risk-free usage, ethically and legally.
No “toxic data,” no questionable sources, no synthetic model-generated content.
pre-formatted and optimized to launch training pipelines instantly.
accelerating training processes and enabling quicker deployment of smarter, more accurate models.
full compliance with the world’s most rigorous standards such as GDPR, CCPA.
every dataset is validated, rights-protected, and regulation-ready, so your team can focus on innovation instead of legal risks.
We believe truly intelligent AI must be built on authentic, rights-secured, uncompromisingly high-quality data.
That’s why we created a platform that removes legal and technological barriers, grounded in real, verified data, empowering every organization to build advanced AI responsibly, securely, and without limits.
The AI market is rapidly growing, yet the biggest obstacle remains the same: lack of real, reliable, legally safe data. Models trained on synthetic or IP-risky datasets face higher error rates, spiraling costs, and legal exposure. DataPlus delivers the global data backbone for AI: human-centric, regulation-aligned, verified clean, and AI-ready datasets.
We deliver human-verified, regulation-ready datasets that ensure accuracy, trust, and compliance.
Leading the way to a global standard for authentic AI built on human-centric data.
A team with strong backgrounds in data, AI, and regulatory compliance.
Live pilots with leading enterprises, thousands /millions of data points already collected and validated, and strategic partnerships in progress.
Within just a few years, any company building AI in our field will know: If you want reliable AI, you need 
