AI-Powered Data Analytics

Explainable AI & Trusted Data Intelligence

data² is an AI-powered data analytics platform delivering explainable AI organizations can defend. Its patented reView platform unifies fragmented data through graph-based RAG architecture, producing hallucination-resistant insights that are provable, traceable, and trusted.

data² transforms fragmented enterprise data into a governed intelligence layer for explainable AI at scale. The reView platform embeds context, traceability, and reasoning directly into analytics—delivering provable insights, faster decisions, and secure integration.

Key Features & Capabilities

Explainable AI at Scale

data² enables explainable AI where every insight is traceable to its origin. Decisions are supported by transparent logic and verifiable sources, giving teams the clarity and confidence needed to deploy AI in environments where accuracy, accountability, and trust cannot be compromised.

Enterprise Speed, Zero Rebuilds

Deploy advanced analytics and AI in weeks, not months. data² integrates directly with existing systems, eliminating costly migrations and complex rebuilds. Organizations accelerate insight delivery while preserving the data infrastructure, platforms, and investments in place.

Secure, Flexible Data Foundations

Built on Zero-Trust principles and cloud-agnostic architecture, Data² protects data in motion and at rest while maintaining full control of access and permissions. Deploy on-premise, air-gapped, or in the cloud while keeping data where it belongs and avoiding unnecessary duplication.

Business Benefits

Unite Fragmented Data Silos

Break down system barriers to create a single, connected view of your organization.

01

Connect Multi-Modal Information

Integrate structured, unstructured, multi-modal and time-series data - traceable to the exact source element.

02

Eliminate Costly Compliance Cycles

Automate audits and reporting, cutting oversight time and operational cost.

03

Uncovers Hidden Risks

Reveal anomalies and dependencies before they become costly problems.

04

Your Questions, Answered

  • Explainable AI (eXAI) refers to methods that make AI decisions transparent and understandable. It enables organizations to interpret model outputs, validate outcomes, and build confidence in AI-driven insights.

  • AI hallucinations occurs when an AI system generates outputs that appear credible but are not grounded in its training data or verified sources, creating risks for decisions that depend on accuracy and trust.

  • Zero-Trust is a cybersecurity approach based on continuous verification. No user, device, or system is automatically trusted—every request must be authenticated and validated before access is granted.

  • Data²’s reView platform links every AI insight to its source data and reasoning path, enabling organizations to validate outcomes, understand model logic, and confidently defend AI-driven decisions.

  • data² grounds AI outputs in connected enterprise data using graph-based reasoning. This architecture helps ensure insights are evidence-based, traceable, and far more reliable than prediction-only AI models.

  • Data² applies Zero-Trust principles through strong encryption, controlled access, and secure architecture. Organizations can analyze data and deploy AI while maintaining strict protection across systems and environments.

Move Your Data Strategy Forward

Connect with brs to transform your data into a secure, scalable, intelligence-driven advantange.