What's New?

Release 1.5.0

Collaborative Intelligence

Redesigned platform with project-level organization, enabling multi-user AI chat, shared context, and real-time collaboration for faster and smarter NetOps decision-making.

Each project now supports its files, connectors, and access rules, ensuring data isolation, relevance, and precision in AI-driven responses.

Live user presence, @mentions, and shared chat history keep everyone on the same page. AI responses now route intelligently across project-specific data sources using custom data-connector tags.

  • Basic NetOps

  • Flow Analytics

  • Security Audits

  • Inventory Insights

  • Support Knowledge Base

  • Upgrade Compliance

  • Ticketing and RCA (ServiceNow, Zendesk)

  • Observability & Packet Capture

  • Cloud & Storage: AWS S3, Azure, Google Cloud Storage

  • Monitoring & Management: Aviz ONES, NetBox, Cisco Nexus Dashboard, Catalyst Center, IP Fabric, SolarWinds, Palo Alto Firewall

  • Data & Logs: ELK Stack, Splunk, Loki, InfluxDB, Snowflake

  • Collaboration & ITSM: Slack, ServiceNow, Zendesk

User Experience

  • New project-based UI with intelligent navigation and pinning

  • Archive completed chats/projects for a decluttered view

  • Enhanced search and filtering to quickly find what matters

  • Auto-refresh notifications and consistent @mention behavior

AI & Engine Enhancements

  • Reasoning Engine: Now powered by Llama-3.3-70B-Instruct for more accurate, contextual, and technically sound responses.

  • Network Correlation Engine (Beta): Performs cross-table analysis to uncover hidden patterns and answer complex queries.

Fixes & Stability Improvements

  • Accurate SQL generation for Flow Analytics

  • Connector state sync across team members

  • Restored audit report and revamped device page

  • Improved user management and invite workflows

  • More consistent behavior across UI components

Known Limitations

  • Response loading UI is not yet visible to all project members

  • Uploaded files lack uploader attribution and preview

Release 1.4.0

  • Reasoning Model Upgraded LLM responses featuring advanced multi-step reasoning and dynamic decision-making to elevate troubleshooting capabilities and forecasting accuracy

  • Agentic Architecture Introduced a new agentic architecture that empowers autonomous task execution and seamless interaction with external systems

  • New External Integrations Integrated with a wider ecosystem, including:

    • ELK Stack

    • Google Cloud Storage (GCS)

    • Loki

    • InfluxDB

    • NetBox

    • Azure

    • Cisco Nexus Dashboard

  • User Interface:

    • Suggested questions now appear to help guide your next steps

    • Rolled out an exciting, revamped UI featuring improved navigation, modern design, and enhanced customization options for a streamlined user experience

  • Critical bug fixes and overall stability improvements to ensure reliable performance in diverse operational environments

  • Known Limitations:

    • In the event of an error during chat interactions, please initiate a new chat session to prevent cascading issues

    • Ensure prompts are specific for optimal results, as vague inputs may result in unexpected or incomplete responses

Release 1.3.0

  • Inferencing engine enhancements for improved throughput & reduced latency

  • External Data Ingestion:

    • Amazon S3

    • Splunk

    • Snowflake

  • Use Case Improvements:

    • Audit Reports

    • Application Visibility

    • Upgrade Compliance

  • Collection of Additional Metrics through:

    • Interface Level Errors & Discards

    • Transceiver DOM Information:

      • Tx/Rx Power

      • Temperature

      • Voltage

      • Bias Current

  • Improved support for the Japanese language

  • Minor UI Changes for quality-of-life improvements

  • Scalability improvements

  • Critical bug fixes and stability improvements

Release 1.2.0

  • Enhanced LLM responses, security, and audit report features

  • Improved user interface

  • Critical bug fixes and stability improvements

Release 1.1.0

  • Data Ingestion now supports devices using gNMI, SNMP, API, sFlow

  • User Interface: Provides a user-friendly interface that makes it easy for users to ask questions and get answers

    • Streaming responses

    • Exporting conversations

    • Import user context

    • Timestamps

    • Regenerating responses

    • User feedback on the responses for improvements

    • Light and Dark Modes

    • Generate configurations and charts

Release 1.0.0

Features Supported

  • Data Ingestion: NCP supports gNMI and SNMP for network state metrics. It also supports the ingestion of sFlow records

  • NCP answers a wide variety of questions in the following use cases:

    • Inventory & Accounting

    • Capacity Planning

    • Anomaly Detection

    • Compliance

    • AI Fabric

Open Issues

  • NCP-231: The Model returns data even for single-letter or single-word queries.

  • NCP-336: The Model provides incomplete or inaccurate responses to certain questions.

  • NCP-340: The Pie chart for Japanese queries should display labels and details in Japanese.

  • NCP-341: The Model's responses are inaccurate or incomplete for some Japanese-language questions.

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