VoiceLake brings supported calling and contact center records into a Lakehouse in your Microsoft Fabric workspace, structured and ready for analytics, AI, and enterprise applications.
Connect Zoom Phone, Zoom Contact Center, Webex Calling, Webex Contact Center, Microsoft Teams calling, and Five9 into a single, standardized data foundation without building fragile ETL pipelines.
Developers can now build against communications data directly in Fabric, Power BI, and custom AI agents instead of building the communications pipeline first.
VoiceLake standardizes multi-platform call records into Fabric so your team can build AI, BI, and apps immediately—without managing pipeline code.
Work with clean, per-platform fact tables and dimension tables shared across report models, instead of wrestling with raw vendor API payloads.
Start immediately with supplied reports while keeping full freedom to build your own measures, custom cuts, and cross-domain business models.
Relate calling activity directly to organizational structures, business units, or financial metrics where appropriate keys and permissions are available.
VoiceLake provides the communications connectivity, structuring, and data modeling. Fabric provides the environment for analytics, models, and AI workloads.
A Power BI report is just the starting point. Land structured communications data in OneLake to support custom business applications, ML analytics, and operational workflows.
Deploy AI agents and LLM applications on top of landed telephony tables immediately without first building and maintaining complex ingestion code.
Bring Zoom, Webex, Teams, and Five9 data into a single Lakehouse. Preserve historical records and eliminate software vendor reporting lock-in.
Structure and sync calling and contact center data across supported platforms directly into Microsoft Fabric.
VoiceLake Studio, inside the Fabric item, puts a report workbench right beside a coding agent that runs on your own GitHub Copilot seat.
Ask for changes to a report in plain language, request a new measure, or ask for a different cut of a page while the agent works directly on the report definition.
In Plan and Agent modes, the coding agent asks for approval before writing code. Autopilot mode executes without prompts while giving clear workbench status indicators.
The semantic model folder stays write-protected. Measures are the only changes allowed through a strictly validated route to ensure data governance.
As calling shifts to voice bots and autonomous agents, traditional handle-time reporting isn't enough. VoiceLake lands interaction data directly in Fabric to measure AI performance.
VoiceLake supplies out-of-the-box report models designed specifically to answer agentic calling questions directly in Power BI and OneLake:
Measure the exact percentage of caller workflows fully resolved by AI agents without human intervention.
Identify specific call paths where callers request a transfer to a live human agent.
Analyze natural language themes and intent trends leading up to human transfers.
Out-of-the-box Fabric measures give instant visibility into conversation routing:
| Total Conversations | 38 |
| AI Contained | 27 |
| Human Escalations | 11 |
| Containment Rate | 71.1% |
Landed conversation tables give your data science team the foundation needed to build custom sentiment models and evaluate agent effectiveness in Fabric.
VoiceLake is an enterprise telephony data pipeline that ingests, normalizes, and delivers multi-vendor voice and contact center telemetry directly into Microsoft Fabric and Power BI.
VoiceLake is built for data engineers, BI architects, Chief Data Officers, Power BI teams, and other data professionals who need normalized telephony data for custom semantic models, enterprise data workflows, AI solutions, and applications
Telephony data comes from complex, non-standardized systems whose schemas and APIs can change over time. VoiceLake manages the underlying ingestion, schema normalization, and pipeline maintenance so data teams do not have to build and maintain separate integrations for every communications system.
VoiceLake delivers normalized telephony and contact center telemetry into the customer's Microsoft Fabric environment and OneLake, where data teams can combine it with other enterprise data and build their own semantic models, Power BI solutions, AI workflows, and applications.
Yes. VoiceLake is designed to ingest telemetry from modern cloud communications and contact center systems as well as legacy on-premise telephony environments, normalize the data, and provide a consistent data foundation for use in Microsoft Fabric.
Yes. VoiceLake provides structured, normalized communications data that can be used as an input to enterprise AI, machine learning, large language model, predictive analysis, and other data-driven applications.
Yes. VoiceLake can provide a normalized destination for historical telephony records during technology migrations, helping organizations preserve communications data and retain access to historical information within their Fabric environment.
You can start with a 14-day free trial on Microsoft Marketplace! Listed as VoiceLake UC Analytics for Microsoft Fabric, subscription essentials start at $750 per month after trial.
Ready to stream your telephony data into Microsoft Fabric? Contact our data engineering team to review your source environments, schema requirements, and pipeline architecture.