We’re honored to share that Syncari has been named to the DBTA 100 2025, a prestigious list of companies that matter most in data, published annually by Database Trends and Applications. This recognition is more than a badge—it’s validation of our mission to equip modern enterprises with the data infrastructure required to thrive in the era of AI agents, autonomous systems, and intelligent automation.
As organizations increasingly embrace AI to drive growth, efficiency, and innovation, one thing has become abundantly clear: AI is only as good as the data it relies on. Unfortunately, the data most enterprises possess today is fragmented, inconsistent, and siloed—rendering it unfit for modern AI workloads. That’s where Syncari Agentic MDM™ stands apart.
Why AI-Ready Data Is the New Competitive Frontier
A 2024 report from Gartner notes that as AI matures, enterprises must move beyond building isolated models and instead focus on composite AI techniques—including multiagent systems, AI-ready data, and decision intelligence. However, delivering on this vision requires a new kind of data infrastructure: one that is unified, real-time, contextual, and governed from the ground up.
That’s where AI-ready data comes in. Unlike traditional data warehouses or integration platforms, Syncari provides real-time, governed, cross-functional data—rich in business context and ready to fuel LLMs, intelligent agents, and automation pipelines. It’s not just about feeding models—it’s about enabling autonomous AI agents to reason, act, and learn from operational data.
Agentic MDM™: The Operating System for AI Agents
Legacy MDM tools weren’t built for this world. They were designed for static records, batch processes, and IT-owned data governance. In contrast, Syncari Agentic MDM™ is a next-gen data automation platform that:
- Synchronizes trusted data bi-directionally across SaaS systems like Salesforce, Netsuite, HubSpot, and Snowflake.
- Augments and enriches data with AI to continuously resolve entities and anomalies.
- Provides a shared, observable foundation for AI agents, eliminating data silos and conflicting truths.
- Automates the agent lifecycle, including sensing, deciding, and acting—securely and transparently.
This is what makes Syncari not just an MDM vendor—but a foundational layer for enterprise AI transformation.
“The rise of autonomous AI agents creates immense opportunity—but also immense risk. To responsibly scale these agents, organizations need AI-ready data infrastructure that’s synchronized, governed, and embedded in every system of record.”
— Neelesh Shastry, CTO & Co-Founder, Syncari
Digital Trust, Security, and AI Governance: Why It Matters in 2025
According to the 2025 Reveal Survey Report, tech leaders cited digital trust, AI code reliability, and data privacy as the top challenges for the coming year. Meanwhile, Verizon’s 2025 Data Breach Investigations Report showed a surge in third-party breaches and credential-based attacks—underscoring the urgent need for stronger AI governance.
Syncari addresses these risks head-on with built-in features that include:
- Full audit trails for data lineage and transformations.
- Observability dashboards for real-time sync status, agent actions, and data health.
- Granular role-based access controls and native support for zero-trust architectures.
- Embedded AI TRiSM (AI Trust, Risk, and Security Management) principles for every agent-powered pipeline.
We believe that you can’t have trustworthy AI without trustworthy data—and Syncari is how you get there.
Claude + Syncari = From Insight to Action with MCP
As part of our expanding platform, Syncari now integrates with Claude via MCP (Model Context Protocol)—enabling users to converse with their unified data and even trigger actions directly from AI agents. With Claude, users can:
- Ask natural language questions about customer health, sales trends, or pipeline velocity.
- Visualize responses as charts or summaries.
- Trigger workflows such as account routing, outreach, or alerts.
This isn’t just AI analytics—it’s agentic orchestration. And with plans to support ChatGPT and Gemini soon, Syncari’s MCP ensures model flexibility while centralizing structured context and guardrails.
DBTA 100 and the Path Forward
Each year, Database Trends and Applications spotlights 100 organizations making significant impacts in the data ecosystem—from cloud-native lakehouses to metadata management and composable architectures. Syncari’s inclusion in the DBTA 100 2025 underscores our role in shaping the future of enterprise data infrastructure.
We’re not just enabling data-driven decision making—we’re empowering the decision-centric enterprise, where autonomous AI agents act on reliable, governed, and real-time data to optimize outcomes across sales, marketing, operations, and finance.
Don’t Miss: Neelesh Shastry’s View from the Top
To learn more about the future of AI agents and how to govern them responsibly, don’t miss our CTO & Co-Founder Neelesh Shastry’s article in DBTA’s “View from the Top”. In it, he shares key insights on:
- Why AI governance is critical to enterprise adoption.
- How multiagent orchestration will define the next decade.
- Why unified, trusted data is the foundation of any intelligent enterprise.
Ready to Make Your Data AI-Ready?
If your organization is planning—or struggling with—AI transformation, now is the time to evaluate your data stack. Legacy MDM and bolt-on hubs won’t cut it in a world of intelligent agents and autonomous workflows.
Request a demo to see Syncari in action, or ask us for a side-by-side comparison with your current architecture.
Let’s build the AI-ready, agent-enabled enterprise—together.
