Synchronized and unified data quality for your SaaS applications

Your company and customers are suffering from inaccurate and incomplete data in your SaaS applications, affecting business growth. Syncari cleans, unifies, and automates your customer data, then makes it available across your SaaS applications through modern multidirectional synchronization.

Repairs your data quality in minutes

Your current integrations are costing your business time and money, while not solving your data problems. Using our intelligent data management, companies can easily interconnect SaaS applications and ensure data quality across the enterprise, leading to increased revenue and decreased churn due to inaccurate, incomplete, or delayed data.

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Visual pipelines that continuously repair your SaaS application data

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Synchronize, unify, and maintain identical data within and across applications

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Provides a unified view of all your data, where it is, and how it's connected

Connects your business with multidirectional synchronization

Syncari is a new multi-SaaS cloud synchronization engine that takes a data first approach to integrations by keeping the data in your SaaS applications clean and identical, without complex configuration or coding. Our advanced connectors and data pipelines eliminate the need for multiple point-to-point connections, creating transactional accuracy across your systems.

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Connect applications and data in minutes not weeks

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Advanced data operations and flexible conflict resolution handling

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Establishes and enforces data authorities and governance

Unifies your data model across SaaS applications

Syncari lets you manage the data and schema in your operational systems, rather than moving your data into another aggregation platform -- this keeps your data available and actionable. Our Distributed SaaS Data (DSD) platform allows businesses to unify their custom data model across all connected systems, ensuring cross department consistency. Our machine learning capabilities further allow businesses to deliver powerful cross-system data calculations, without having to rely on scarce data scientist resources.

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No CDP, MDM, data warehouse, or data aggregation required

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Enhance and augment data across your SaaS applications

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Ready to use machine learning for sentiment, scoring, forecasting, and more

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Businesses who suspect their customer and prospect data is inaccurate
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Businesses who believe effective decision making is constrained by data availability and inconsistency
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Businesses concerned about the governance of their corporate data

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