Rockfish Data has announced a strategic integration with Snowflake, the AI Data Cloud company, to enable telecom operators and network technology providers to accelerate the development and validation of autonomous network operations. The solution combines Snowflake’s governed AI Data Cloud environment with Rockfish’s synthetic data generation platform, allowing organizations to create realistic, privacy-safe network telemetry and observability data directly within Snowflake. This approach addresses key challenges in testing AI models, automation workflows, and AI agents against rare, high-impact network conditions without risking live environments.
Telecom networks represent some of the most complex and mission-critical systems, where rare events like outages, congestion cascades, signaling storms, and unusual subscriber behaviors are difficult to capture in sufficient volume or detail for effective AI training and validation. Traditional approaches often rely on limited historical data, leading to incomplete testing and post-production failures. Rockfish and Snowflake’s collaboration fills this validation gap by enabling on-demand generation of representative datasets that mimic real-world dynamics while ensuring privacy and compliance.
The integration empowers operators to:
These capabilities reduce deployment risks and shorten time-to-value for AI initiatives in complex network environments.
Network vendors and software providers gain the ability to:
“Together with Rockfish, we are enabling carriers and vendors to generate test data within Snowflake’s governed environment—so they can move faster with confidence,” said Sreedhar Rao, Global Telecom CTO, Snowflake. “Service providers, equipment vendors and ISVs can now get easy, secure access to realistic data to train their telecom domain specific models as well as AI Agents.”
“Traditional network testing relies on historical snapshots that fail to capture the dynamic, multi-dimensional nature of modern telecom systems,” said Muckai Girish, CEO, Rockfish. “Rockfish preserves the temporal, causal, and behavioral characteristics that drive real-world network behavior—including rare failure events that may occur once in millions of sessions. By working together with Snowflake, we’re enabling a new standard for AI and Agent validations in telecom.”
The solution supports carrier-scale simulation across observability, RAN, transport, core network, OSS, and BSS domains, all while maintaining privacy through synthetic generation. Organizations can integrate the resulting datasets directly into existing workflows for enhanced AI reliability and operational efficiency in autonomous networks.
About Rockfish Data
Rockfish Data is an AI-based data generation platform to help teams building AI workflows and data agents ship faster, reliable systems with reduced effort.
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