Instance Resolve

Dimension Labs is a customer observability and language data infrastructure platform built to turn unstructured conversational data from sources like chat, email, voice, surveys, and social media into structured, analytics-ready insights. It eliminates the need for manual tagging by using AI-driven enrichment and dynamic labeling to surface evolving themes, customer sentiment, escalation causes, and feature requests. By unifying omni-channel inputs under a common model, the platform supports real-time dashboards, drill-downs, and context-aware analytics, letting teams explore root causes, monitor emerging trends, and connect conversation metrics with business outcomes. Dimension Labs integrates via APIs or one-click connectors with chat tools, CRMs, contact centers, surveys, and social platforms, allowing seamless ingestion from sources like Intercom, Twilio, Slack, and more.

Precise for Databases helps database administrators to find and fix database performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning. Precise for Databases ensures that databases perform at peak efficiency. It captures, measures, and correlates performance metrics from all critical components of the system. It then detects and corrects the root cause of database and transaction performance problems before they become noticeable for databases and their related applications. Monitor Microsoft SQL Server, Oracle Database, IBM Db2, and SAP Sybase ASE. For each of these database platforms, the interface of Precise looks and behaves the same to minimize the learning curve. Precise for Databases samples the monitored databases once per second or more frequently, has low overhead (typically 1%).