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Connects directly to enterprise databases and BI systems to deliver instant, explainable insights through natural language queries. It goes beyond surface-level metrics to analyze changes, identify emerging risks and anomalies, and recommend next-best actions with built-in source traceability.
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Even with modern business intelligence platforms, enterprises often struggle to extract timely insights. Information remains buried in growing data volumes, with no in-depth analysis explaining the cause, which eventually slows decisions and obscures opportunities.
Users spend hours scanning charts for anomalies, often missing urgent issues such as stockouts.
Non-technical teams cannot query complex relational or NoSQL data without analyst support.
Trends across ERPs and IoT systems, as well as root cause analysis, remain invisible due to disconnected sources.
Problems can escalate before manual checks detect downtime or KPI drops.
Auriga Analytica is Scry AI’s intelligent analytics chatbot platform that enables enterprise teams to explore structured, unstructured, and time-series data using natural language.
Auriga Analytica delivers augmented business intelligence directly within the workflows where decisions are made.
Auriga Analytica continuously analyzes data to surface the most relevant insights without dashboard exploration. It delivers clear facts and prescriptive recommendations in real time. For example, it can alert teams to an impending SKU-Z34 stockout in the South and suggest actions such as expediting PO #7843 or reallocating inventory from the East.
The system allows users to unlock business data by asking questions in natural language. It converts requests into optimized queries across SQL, NoSQL, and time-series systems. Users can also interact with a digital analyst avatar that understands business context and complex intent, enabling fast, intuitive exploration.
Auriga Analytica processes relational and real-time data together from sources like ERPs, IoT platforms, RTI, and Concentio. Built-in logic handles trend analysis, spike detection, anomaly identification, and time-based comparisons. This makes it easy to answer questions such as comparing turbine output trends across all zones over the last ninety days.
The platform automatically generates charts, graphs, and natural-language summaries that can be embedded into dashboards and web portals. It highlights anomalies and outliers with contextual explanations, making visualizations such as sales versus inventory variance by product line easy to interpret and act on.
Every insight and answer generated by Auriga is linked to its underlying data sources, ensuring transparency and auditability across the organization. Business users can act with confidence, while governance and compliance teams can quickly validate results. When teams investigate issues such as downtime on Line 4, the resulting analysis is fully traceable, data-backed, and ready for validation.
Quantifiable results and ROI realized by organizations that operationalize augmented analytics at scale.
Faster Queries
Reduction in Analyst Dependency
Fewer Missed Anomalies
Increase in Insight Discovery
Auriga securely connects to your databases, data warehouses, BI layers, and operational systems using least-privilege access. Standard interfaces such as JDBC, ODBC, and secure APIs ensure your data remains in place while remaining fully accessible for analysis.
Auriga aligns data structures with business terminology, which removes the need for users to understand schemas or table names. It recognizes metrics, definitions, and relationships across datasets, creating a consistent interpretation of data across teams.
When a user asks a question in plain language, Auriga interprets intent and translates it into optimized queries across SQL, NoSQL, and time-series systems. It automatically manages comparisons, cohorts, groupings, and time windows while optimizing execution behind the scenes.
Results extend beyond raw numbers. Auriga generates structured tables, interactive charts, and concise narrative explanations that surface the most relevant trends, anomalies, and outliers. Built-in intelligence prioritizes signals, so teams can focus on what requires attention now.
Each response includes source references that enable traceability to the underlying data. This transparency supports trust, validation, and audit readiness without slowing analysis. Insights can be embedded in dashboards and reports, shared across teams, or executed through integrations to trigger alerts, workflows, and follow-up actions.
Auriga Analytica is designed to unify analytics across enterprise databases, BI platforms, operational applications, and time-series streams.
Built to meet rigorous regulatory standards, ensure auditability, and protect sensitive data across all analytics workflows.
Aligns with enterprise security expectations and is SOC 2 and ISO 27001 compliance-ready.
Supports on-premises or private cloud deployments with end-to-end encryption, keeping sensitive data within your firewall.
Provides least-privilege connections, role-based access, and governed query execution to maintain full audit readiness.
We are trusted by enterprises globally.
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