Plauti
Plauti is a data quality platform built natively for CRM, designed for organizations that want tight governance, strong security, and practical control over the accuracy of their customer data. Unlike solutions that move data to external servers or require separate platforms, Plauti runs entirely inside your existing CRM infrastructure, so no data leaves your system and no additional security perimeter is introduced.
For Salesforce customers, Plauti covers the end-to-end data quality lifecycle:
Prevent duplicates at the source: Real-time alerts notify users of potential duplicates as they enter records, helping sales, marketing, and service teams keep data clean from the start.
Protect against hidden duplicates: Detect duplicates created by imports, integrations, and APIs to keep inbound data streams aligned with your standards.
Remediate at scale with batch jobs: Run configurable batch processes to find, review, and merge existing duplicates across large data volumes, with full audit trails that support compliance, internal controls, and reporting.
Verify contact information: Check email addresses and phone numbers before they’re saved to reduce bounce rates, improve campaign performance, and support more reliable outreach.
All of this operates on Salesforce’s own infrastructure, using your existing permissions, roles, and security model. There is no separate user login, no data sync lag to manage, and no additional compliance gap to justify to auditors or security teams.
For Microsoft Dynamics 365, Plauti focuses on robust duplicate prevention and control. Admins can configure real-time alerts, leverage API-based detection, run batch processes, and apply cross-entity matching rules to keep accounts, contacts, and leads aligned and consolidated.
Plauti is built for CRM admins, data stewards, and operations teams who need immediate, self-service control over data quality—without waiting for developers, complex projects, or long IT ticket queues.
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DataHub
DataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.
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amazee.ai
amazee.ai is the leading Sovereign AI Infrastructure provider, enabling global organizations to adopt generative AI with absolute data sovereignty. In an era where data privacy is a primary barrier to innovation, amazee.ai provides a "Privacy-First" platform that ensures sensitive company information remains entirely under organizational control. The platform functions as a secure AI Trust Layer, allowing enterprises to deploy high-performance models like GPT, Claude, and Mistral within isolated, regional enclaves that meet the rigorous standards of GDPR, ISO 27001, and SOC 2.
Core Offerings for Business Transformation:
- Private AI Assistant: An enterprise-grade alternative to public chatbots, allowing teams to upload internal documents and CRM data for secure, private analysis. It offers 100% certainty that no data is used for model training or stored by external vendors.
- Regional Data Control: A unique ability to choose the exact jurisdiction for data processing, ensuring adherence to national data residency laws in Switzerland, Germany, the US, and beyond.
- Compliance Automation: Integrated features designed specifically for regulated industries like Healthcare (HIPAA-friendly) and Finance, providing the audit trails and logging necessary for legal transparency.
- Zero Vendor Lock-In: A modular, open-source-based infrastructure that ensures long-term portability and flexibility as the AI landscape evolves.
Starting with plans for teams of 20+, amazee.ai is the ideal fit for IT and security leadership teams that prioritize governance, risk mitigation, and the protection of intellectual property as they scale their AI capabilities.
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Tokern
Tokern delivers an open-source toolkit specifically crafted for managing data governance, focusing on databases and data lakes. This intuitive suite aids in gathering, structuring, and analyzing metadata from data lakes, enabling users to perform swift tasks through a command-line interface or operate it as a service for continuous metadata retrieval. Individuals can investigate elements such as data lineage, access controls, and personally identifiable information (PII) datasets, employing reporting dashboards or Jupyter notebooks for in-depth programmatic analysis. As a holistic solution, Tokern strives to boost the return on investment for your data, guarantee adherence to regulations such as HIPAA, CCPA, and GDPR, and protect sensitive data from potential insider threats efficiently. It centralizes the management of metadata related to users, datasets, and jobs, thereby enhancing a wide array of data governance capabilities. The platform’s functionality includes tracking Column Level Data Lineage for major systems like Snowflake, AWS Redshift, and BigQuery, enabling users to construct lineage from query histories or ETL scripts. Moreover, users can explore lineage through interactive visualizations or programmatically via APIs or SDKs, providing a flexible method for understanding data movement. Overall, Tokern empowers organizations to uphold strong data governance while adeptly maneuvering through intricate regulatory environments, ensuring that all necessary compliance measures are effectively implemented. By leveraging Tokern, companies can significantly improve their operational efficiency and data management practices.
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