Striim has announced the launch of Validata, a new enterprise-grade data validation and reconciliation product designed to help organizations secure the data foundation required for AI and agentic systems. As enterprises continue to scale their AI initiatives, data accuracy, governance, and trust have become mission-critical, yet many still rely on homegrown or ad hoc validation tools that cannot meet the demands of modern data ecosystems. Validata addresses these gaps with an AI-based validation framework built for enterprise workloads across regulated, high-performance environments.
• Striim launches Validata for large-scale data validation and reconciliation.
• Designed to support AI, analytics, and modernization initiatives with trusted data.
• AI-driven “validate – fix – verify” loop automates consistent data quality workflows.
• Supports heterogeneous environments across legacy and modern cloud systems.
• Generates detailed discrepancy and drift reports for real-time visibility.
• Enables stronger governance, auditability, and AI/ML performance at scale.
Striim announced Validata as a comprehensive solution to ensure data accuracy and trust across enterprise systems. With AI and agentic applications driving new requirements for data reliability, Validata replaces legacy, manual validation methods with an automated, scalable approach capable of handling modern data volumes and platforms.
Many organizations face increasing risks from silent data drift, mismatches, and transformation errors that threaten AI/ML performance, compliance efforts, and digital modernization. Traditional in-house frameworks often fail to scale, lack standardization, and cannot adapt to evolving cloud platforms or AI-driven validations. Validata closes this gap by offering a consistent and scalable validation layer that works across complex, multi-system environments.
Validata compares data across both modern cloud-native and legacy systems to keep datasets synchronized. Its “validate – fix – verify” loop, powered by the Validata AI agent, enables users to design, run, and schedule validation workflows in an intuitive, conversational manner. This ensures continuous transparency, auditability, and confidence in critical data powering AI and analytics initiatives.
Users can execute validation jobs, generate detailed reports, and automate workflows without deep technical expertise, making enterprise-grade data governance more accessible across teams.
Validata supports table-level validation across diverse environments, including Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, Google BigQuery, and Databricks. Features like built-in scheduling, alerting, and reconciliation offer deep visibility without overloading production systems.
Its AI-powered discrepancy reports capture record-level and field-level differences, flag schema drift, and provide real-time insights into data inconsistencies that could impact downstream systems such as AI agents or streaming analytics.
“As enterprises scale AI and agentic applications, their biggest barrier isn’t ambition—it’s confidence in the underlying data,” said Ali Kutay, CEO and Co-Founder at Striim. “With Validata, our team has taken everything we’ve learned about real-time data pipelines and addressed fundamental governance and data validation challenges, so customers can deploy AI with confidence.”
Enterprises can use Validata to improve reliability, strengthen governance, and enhance AI/ML model performance. From comprehensive validation checks to timestamped audit records and fast, scalable consistency checks, Validata ensures data remains trustworthy across operational systems, data lakes, and agentic environments.
“Comparing fast-changing objects across data estates is challenging! In Validata, we have added high-performance vector-based math to efficiently identify data mismatches. We find that data and platform modernization initiatives are far outpacing the controls to keep data accurate and trustworthy,” said Alok Pareek, Co-founder and Executive Vice President of Engineering and Products at Striim. “Validata gives data and AI leaders a single, intuitive, AI-based solution to prove critical tables are in sync across their operational systems, data lakes, and agents in real-time — and to repair what’s broken — to ensure trusted data delivery.”
Validata is now generally available, offering enterprises a scalable path to building trusted AI systems through strong, consistent data validation practices.
About Striim
Striim pioneers real-time data intelligence for AI by unifying data across clouds, applications, and databases via a fully managed, SaaS-based platform. Striim’s platform, optimized for modern cloud data lakehouses and data warehouses, transforms relational and unstructured data into AI-ready insights instantly with advanced analytics and ML frameworks, enabling swift business action. Striim leverages its expertise in real-time data integration, streaming analytics, and database replication—including industry-leading Oracle, PostgreSQL, and MongoDB CDC technology—to achieve sub-second latency in processing over 100 billion daily events for ML analytics and proactive decision-making.
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