Why Data Governance, Not AI Models, Will Define Agent Economy Winners
Veritone's FedRAMP-approved platform processes 22.2 trillion tokens, positioning data governance as the competitive edge in enterprise AI agent deployments across Asia-Pacific.
Veritone, Inc. announced its strategic positioning as a foundational infrastructure provider for the emerging AI agent economy, as enterprise deployments transition from pilot programs to production scale. The company's aiWARE platform and Veritone Data Refinery (VDR) processed 22.2 trillion tokens in the second half of 2025, including five trillion tokens in Q2 2025 alone, demonstrating capacity for enterprise-scale data governance.
Platform Secures Government Validation for High-Stakes Deployments
Veritone's aiWARE platform received FedRAMP approval and secured deployments with the U.S. Air Force Office of Special Investigations and Department of Defense. The platform functions as a control system for AI agents, maintaining records of inference activity, cost, performance, and outcomes while governing which models, data, and policies are used in automated workflows.
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"As agentic AI compresses SaaS and automates workflows, value shifts to trusted data, governance, and orchestration," said Ryan Steelberg, Chairman, President and CEO of Veritone. "Veritone sits at that layer, where we believe enterprise demand and economic value will increasingly concentrate."
The company announced self-hosted AWS and Azure tenant options in December 2025, enabling flexible deployment infrastructure for multi-cloud AI agent coordination across enterprise environments.
Asia-Pacific Market Faces Critical Orchestration Gaps
Asia-Pacific enterprises confront significant governance challenges as they scale AI agent deployments. Only 2% of organizations in the region achieve full accountability for AI agent behavior, while 80% lack visibility into agent lifecycle governance, according to research from Boomi.
BCG research reveals that only 30% of APAC enterprise workflows are AI-ready despite fast adoption of AI tools, creating immediate demand for platforms that address data silos and inconsistent quality. Regional regulatory frameworks including Singapore's Model AI Governance Framework and ISO/IEC 42001 create compliance requirements that demand robust orchestration infrastructure.
Manufacturing represents a leading vertical for AI agent deployment in Asia-Pacific. IDC projects that 50% of large manufacturers in the region will deploy AI agents for design and simulation workflows by 2028, requiring clear strategies for autonomy ownership and workforce reskilling for agent supervision roles.
Data Refinery Addresses Unstructured Asset Processing
Veritone's Data Refinery operates at the data preparation layer, ingesting raw audio and video content, normalizing and enriching it, and attaching rights and provenance information to make data AI-ready. The platform's strength lies in processing unstructured data, particularly audio and video, into assets that AI systems can use while maintaining audit trails.
The Air Force Office of Special Investigations deployed aiWARE to enhance data analysis and accelerate investigative workflows across multiple mission areas, demonstrating orchestration capabilities in regulated environments requiring data custody and evidentiary integrity.
APEC's 2026-2030 AI Initiative and Malaysia's AIGE framework are pushing trusted data exchange and resilient infrastructure for AI agent deployments across logistics, manufacturing, finance, and supply chain verticals throughout the Philippines, Australia, Singapore, and Malaysia. This regulatory momentum creates market conditions favoring platforms that provide data lineage, event coordination, and behavior monitoring capabilities.
Modern integration platforms are emerging as the nervous system for APAC AI agents, providing the connective tissue between autonomous systems and existing enterprise infrastructure as organizations navigate the transition from user interface-centric software to agent orchestration layers.
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