Syncari Raises $20M Series B as Fortune 1000 Enterprises Adopt Agentic MDM for AI-Ready Data Infrastructure
AI Agent News
Syncari closed a $20 million Series B funding round led by Escape Venture Investing as Fortune 1000 companies adopt its “Agentic Master Data Management” platform to address a critical AI infrastructure bottleneck: enterprise data scattered across dozens of systems makes it impossible for AI agents to operate effectively.
While AI capabilities advance rapidly, the fundamental challenge of trusted, unified data remains the primary barrier to enterprise AI deployment. Syncari’s platform positions itself as essential infrastructure for the AI economy, with 2+ trillion data operations under management and deployment times 50x faster than traditional MDM systems.
The Enterprise Data Fragmentation Crisis
Fortune 1000 enterprises typically manage data across dozens of disconnected systems—Salesforce instances, ERP platforms, marketing automation tools, and proprietary databases—creating silos that prevent AI agents from accessing accurate, contextual information. Traditional master data management (MDM) systems require months to deploy and lack the real-time synchronization capabilities that AI workloads demand.
According to Gartner, 50% of business decisions will be augmented or automated by AI agents by 2027, but current data infrastructure cannot support this transition. Legacy iPaaS solutions and custom integration scripts create brittle connections that break under the demands of real-time AI operations.
Agentic Architecture for AI-Native Data Operations
Syncari’s “Agentic MDM” platform introduces AI-native architecture with semantic layers, continuous data quality monitoring, and patented multi-directional synchronization. The system maintains a single version of governed truth across enterprise systems while enabling real-time data access for AI agents, analytics, and automated workflows.
Key architectural components:
- Semantic data layers optimized for large language model consumption
- Stateful synchronization technology enabling bi-directional real-time updates
- 100+ smart connectors with SDKs, APIs, and webhooks for enterprise integration
- Continuous governance with audit trails and compliance frameworks
The platform allows AI agents to operate on trusted, contextual data without the latency and inconsistency issues that plague traditional integration approaches.
Production Validation at Enterprise Scale
Major enterprise customers demonstrate the platform’s production readiness and operational impact:
Monotype replaced two disparate Salesforce instances, Zuora, Marketo, and multiple proprietary databases with Syncari’s unified data foundation, enabling “significant reductions in overhead while running AI-ready data” and driving faster growth.
Altair (led by founder and former CEO James Scapa, now General Partner at Escape Venture Investing) replaced legacy Boomi iPaaS and DataHub solutions, citing Syncari’s “advanced master data platform with stateful synchronization technology” as “crucial foundation for harnessing the power of next-generation LLMs.”
Additional Fortune 1000 customers include Trimble, Yardi, and Antech Diagnostics (a Mars company), with the platform processing over 2 trillion data operations while maintaining enterprise-grade governance and security standards.
Market Infrastructure Shift Toward AI-Native Data
Syncari’s funding and customer adoption reflects a broader infrastructure evolution from retrofitted data management to AI-native platforms. The company reports deployment times 50x faster than traditional MDM systems, with customers achieving up to 40% cost reduction by consolidating legacy integration tools.
The emergence of “Agentic MDM” as a category signals enterprise recognition that AI transformation requires fundamental data infrastructure modernization, not incremental improvements to existing systems. As AI agents become operational rather than experimental, the demand for real-time, governed data access becomes critical infrastructure.
Escape Venture Investing’s $20 million commitment underscores investor confidence in data infrastructure as foundational to enterprise AI adoption. James Scapa’s dual perspective as both customer and investor provides strategic validation of the platform’s production readiness and market potential.
Infrastructure Implications for Enterprise AI
The shift toward agentic data management represents infrastructure maturation beyond point solutions and middleware patches. Enterprise AI success depends on foundational data platforms that can support real-time agent operations while maintaining governance, compliance, and audit requirements.
Syncari’s appointment of Brian Bagan as VP of Sales (formerly of Precisely) signals preparation for global enterprise expansion as organizations prioritize modern master data management for AI and cloud transformation initiatives.
The platform’s semantic layers and continuous governance capabilities position it as critical infrastructure for enterprise AI agents that require contextual, trusted data access at scale.
As enterprise AI agents transition from experimental to operational, Overclock provides the orchestration layer that connects agentic data platforms like Syncari with automated workflows, ensuring reliable execution across complex enterprise environments.