Releases

The Optra Platform 11.0 release delivered on 6/12/2026 introduces significant enhancements across user experience, AI-driven capabilities, data integration, automation, and platform scalability. Key updates include a modernized platform navigation experience, integrated chatbot functionality, global search, intelligent data discovery, automated semantic mapping, and AI-powered visualizations.

This release also expands Optra's data ecosystem through Microsoft Fabric and Delta Sharing integrations, enhances operational efficiency with predictive scorecard automation and no-code exception management, and improves user engagement with in-app notifications, guided workflows, mobile access, and customer-facing application frameworks. Together, these enhancements simplify platform adoption, accelerate data-driven insights, and strengthen Optra's foundation for future AI and automation initiatives.

Optra Platform Release Items

• Optra Documentation Site: Delivered a centralized documentation site that simplifies onboarding and deployment of Optra across local and dedicated infrastructure environments. Created an intuitive, easy-to-navigate experience that provides concise guidance and reduces the complexity of existing documentation. Established the foundation for future chatbot-driven documentation retrieval and support.
• Chatbot UI, Coachmarks, and User Workflow Guides: Introduced interactive coachmarks and guided workflows to help users navigate the Optra platform more effectively. Enabled contextual in-app guidance through overlay-based walkthroughs and feature highlights. Improved user onboarding and adoption experience by simplifying discovery of key platform functionality.
• Data Locator – Semantic Layer Expansion: Expanded the Semantic Layer to enable users to query connected data sources using natural language. Enhanced data discovery, lineage tracking, and attribute exploration across systems and devices. Added MCP endpoint support to facilitate chatbot integration and external agent access to connected data.
• Optra IoT Platform Navigation and Usability Updates: Delivered a modernized navigation experience across the Optra IoT Platform. Redesigned primary and secondary navigation menus to improve usability, streamline access to platform capabilities, and consolidate ancillary applications. Replaced the legacy tile-based navigation model with a more intuitive user experience.
• Platform-Integrated Chatbot Feature: Introduced a platform-integrated chatbot interface for interacting with Optra using natural language. Enabled users to access device information, investigate alerts, and initiate platform actions through conversational workflows. Added MCP endpoints to support chatbot interactions and third-party AI integrations.
• Optra IoT Platform Hosted Security Enhancements: Implemented security enhancements to align the hosted Optra Platform with corporate security requirements and industry best practices. Strengthened platform protections for hosted customer environments. Improved overall security posture and compliance readiness.
• Manage by Exception – No-Code SQL Thresholds: Enabled low-code/no-code configuration of SQL-based thresholds and anomaly detection rules via an approach that exports the report as an image, then evaluates it using AI tooling. Introduced automated notifications for exceptions and anomalous conditions, reducing the need for manual dashboard monitoring. Enhanced threshold management with user-level and organization-level configuration options.
• In-App Notifications UI/UX Design: Created a new in-app notifications experience accessible through a notification center in the platform header. Improved visibility of alerts, job failures, and critical system events. Enhanced the user experience by providing centralized access to important notifications and status updates.
• Global Search: Introduced a unified search experience across Optra entities and platform data. Enabled users to locate relevant information from a single-entry point without navigating multiple screens. Established foundational search services and MCP endpoints for future AI-powered experiences.
• Predictive Scorecard Automation: Enhanced Predictive Scorecard workflows through increased automation and reduced manual intervention. Streamlined file selection, configuration, and output generation processes. Improved scorecard turnaround times while reducing operational effort and dependency on professional services.
• Automated Semantic Layer Mapping: Introduced automated mapping of user-provided attributes to the OIDM model. Reduced manual effort, mapping complexity, and potential for configuration errors. Leveraged AI-driven automation to accelerate semantic layer onboarding and deployment.
• Mobile App – Companion App: Delivered a cross-platform mobile companion application built with Flutter. Enabled users to monitor platform activity, receive notifications, and stay informed of critical events while away from the desktop experience. Established a foundation for future mobile-first Optra capabilities.
• In-App Notifications: Introduced persistent in-app notifications stored within the platform and accessible through the notification center. Enabled users to receive detailed information about alerts, job failures, and other high-priority events. Improved visibility and responsiveness to operational issues.
• Optra AI Visualizations: Enabled AI-generated visualizations directly within chatbot conversations. Introduced support for creating charts and graphs from retrieved or queried data, allowing users to quickly interpret results without leaving the conversational experience. Enhanced data analysis through intuitive visual representations.
• Externally Marketable AI Chatbot: Created a deployment framework for rapidly building and distributing customer-facing AI chatbot applications. Enabled reusable chatbot micro-app development using Optra Custom Apps architecture. Expanded Optra's capabilities as a standalone AI-powered solution platform.
• Delta Sharing Elixir Connector: Delivered a Delta Sharing connector that enables direct access to shared data without requiring a Databricks deployment. Reduced infrastructure costs and complexity associated with customer data onboarding. Simplified integration of externally shared datasets into the Optra platform.
• Unnest JSON: Introduced support for unnesting and transforming complex JSON structures into relational formats. Simplified data ingestion and improved accessibility of nested data for analytics and reporting.
• Alerts 2.0: Enhanced the alerting framework with improved notification management and monitoring capabilities. Delivered a more actionable and user-friendly experience for identifying and responding to critical events.
• OCA IDE: Introduced an integrated development environment for Optra Custom Apps. Simplified application development, testing, and deployment workflows for developers.
• OCA Jekyll Support: Added Jekyll support for Optra Custom Apps documentation and content publishing. Simplified creation and maintenance of static documentation sites and developer resources.

Optra Data Release Items

• Optra Data Fabric Support: Enabled Microsoft Fabric integration within Optra Data, expanding support for Fabric-based data environments. Extended platform connectivity beyond Databricks and Snowflake. Improved data accessibility across enterprise ecosystems.
• Export/Sync Data from Gold Zone into Postgres DB: Delivered functionality to export and synchronize Gold Zone data into PostgreSQL databases. Enabled direct access to analytics-ready data for reporting and visualizations. Simplified data consumption for Optra Custom Apps and platform-based analytics.
• Zone to Devices: Enabled seamless association and management of devices within designated zones. Improved device organization, visibility, and operational control across the platform.
• Sync to Delta Tables: Enabled automated synchronization of data into Delta Tables for improved consistency and reliability. Streamlined data management workflows and enhanced support for scalable analytics.