Raiven provides consultancy and implementation services that help small and medium‑sized enterprises adopt AI while staying compliant with data‑privacy regulations such as GDPR and CCPA. The firm conducts privacy impact assessments, designs secure AI architectures with data minimisation and bias mitigation, and delivers end‑to‑end support including compliance documentation and staff training.
Funding
Funding not disclosed
Founders
Product
Problem
Small and medium‑sized organisations face increasing regulatory pressure from data‑privacy laws such as GDPR, CCPA, and others, yet lack the expertise to safely integrate AI technologies without exposing personal data to security, bias, or compliance risks.
Solution
Raiven offers consultancy and implementation services that help businesses adopt AI in a pragmatic, ethical, and results‑oriented manner. The firm assesses each client’s data‑processing workflows, identifies privacy and security gaps, and designs AI solutions that align with relevant regulations. By providing end‑to‑end guidance—from strategy and model selection to deployment and monitoring—Raiven ensures that AI systems are built with data minimisation, transparency, and bias mitigation at their core. Ongoing support includes compliance documentation, risk‑management frameworks, and training to empower internal teams to maintain responsible AI practices.
Target Audience
Primary customers are small and medium‑sized enterprises across industries that want to leverage AI while remaining compliant with data‑privacy regulations.
Features
- Comprehensive privacy impact assessments tailored to AI use cases and applicable regulations
- Custom AI architecture design that incorporates data‑minimisation, encryption, and audit trails
- Bias detection and mitigation pipelines using explainable AI techniques
- Deployment and integration services that connect AI models to existing business systems securely
- Documentation packages (GDPR‑compliant data processing records, model cards, risk registers) for regulatory reporting
- Training workshops for staff on responsible AI governance and data‑privacy best practices