PALO ALTO, Calif., April 22, 2026 (Globe Newswire) — Today, Striim announced new capabilities in Google Cloud that enable enterprises to build and operate a new class of AI-driven systems powered by real-time, trusted data. The announcement includes validator cloudwith the continued advancement of Striim. AI agent and MCP agent link.
As organizations move AI from experimentation to production, the challenge moves from building models based on training data to working with data that is continuously current, accurate, and actionable. Striim provides this foundation by streaming operational data to Google Cloud with minimal latency, creating a continuously updated data layer for analytics, applications, and AI.
Companies across major industries are already using Striim to meet this requirement and drive real-time, AI-driven innovation in their next-generation modernization efforts.
Multinational FinTech company uses Striim to move data from on-premises Oracle to Spanner in real time to power new cloud-native applications. Striim’s two-way synchronization allows both legacy and modern systems to work together continuously and modernize without interruption. This approach ensures that existing systems remain fully operational while new platforms are built and expanded.
A top five healthcare retailer is modernizing its critical prescription platform by moving from a monolithic application running on massive Oracle RAC to a microservices-based architecture on Spanner. Striim enables this transformation by streaming real-time data changes from legacy systems, applying real-time normalization inline, and delivering them to newly developed services. The platform’s flexibility supports the sophisticated custom processing business logic required for evolving service needs, and two-way synchronization ensures consistency between legacy and modern environments. To date, the solution is used in over 9,000 pharmacy stores.
One of the largest financial derivatives exchanges in the US uses Striim to modernize its enterprise. Financial data is continuously collected from mission-critical trading platforms into AlloyDB, Google Cloud’s fully managed Postgres-compatible database in the cloud, making it accessible to analysts and traders in real-time. At the same time, data is continuously synchronized from AlloyDB to Oracle for risk mitigation, ensuring consistency in both environments. Striim handles true real-time processing at scale, supporting tens of thousands of CDC events per second as each trade occurs. In addition to this foundation, customers leverage Striim’s built-in AI agents to monitor these live data streams for anomalous patterns and potential fraud in real time. These agents work directly with streaming data as it moves, flagging suspicious trading activity as it occurs.
To ensure data trust at scale, Striim introduced Validata AI Cloud, a fully managed data validation and reconciliation service on Google Cloud. Validata AI Cloud is the highest performing and scalable data comparison product that leverages vector validation to optimally verify data accuracy between enterprise systems such as Oracle, PostgreSQL, and MySQL and cloud targets such as BigQuery, Snowflake, and Databricks. Your team doesn’t need to deploy or manage validation infrastructure. Different systems can be synchronized through Striim’s data reconciliation feature.
Validata AI Cloud detects inconsistencies, monitors for drift, and generates remediation scripts in real-time, taking into account ongoing synchronization, so teams can maintain confidence in the data that powers their analytics and AI. It supports multiple validation methods such as vector, fast record, full record, interval, key, and custom validation. This allows organizations to ensure that the source matches the target after data movement, making data governance and audit and compliance support much simpler, more accurate, and more reliable.
“The effectiveness of an AI system is determined by the data on which it runs,” said Alok Pareek, co-founder and vice president of product and engineering at Striim. “Our customers are building mission-critical systems that respond in real time. Validata AI Cloud, combined with our streaming platform, AI agents, and MCP AgentLink, gives them the foundation to do that with confidence.”
Within Striim’s platform, validation is part of a broader system of real-time intelligence and automation that supports production AI environments. Striim also comes with state-of-the-art built-in agents, including:
Sherlock: Inspect source data in real-time and use LLM to classify and tag sensitive fields throughout your streaming pipeline. This is a sensitive data discovery agent that can sample source data and identify PII, SSNs, credit cards, and more.
Sentinel: Real-time sensitive data discovery and protection agent. Detect PII in streaming data and automatically apply safeguards such as tagging, masking, and encryption based on predefined policies.
Seer: Provides time series forecasting and anomaly detection for real-time monitoring and predictive analysis.
Euclid: Generate vector representations for semantic search, classification, and AI/ML applications directly within your data stream.
These capabilities, combined with MCP AgentLink, a distributed solution where agents stream changes from 100+ systems to MCP-enabled zones with sub-second latency, without disrupting live production systems, create a continuously validated, context-rich data foundation for enterprise AI.
By providing a unified path from source database changes to validated and managed AI-enabled data, Striim enables enterprises to operate production AI systems that respond to their business in real-time.
Validata AI Cloud is now generally available. Learn more and get started here.
About Strim Co., Ltd. Striim pioneers the real-time intelligence of AI by unifying data across clouds, applications, and databases through a fully managed SaaS-based platform. Optimized for modern cloud data warehouses, Striim’s platform uses advanced analytics and ML frameworks to instantly transform relational and unstructured data into AI-enabled insights that enable rapid business action. Striim leverages expertise in real-time data integration, streaming analytics, and database replication, including industry-leading CDC technology, to deliver sub-second latency in processing more than 100 billion daily events for ML analytics and proactive decision-making. If you would like to learn more please visit: www.striim.com.
Media contact: Nicole Mitich, Striim Partner Marketing Director Phone: (650) 241-0680 Email: press@striim.com
