
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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Podium
Podium is a leading AI-powered platform that combines lead management and multi-channel communication into a single solution, trusted by over 100,000 businesses worldwide to acquire and convert customers effectively. At the heart of Podium’s platform is its AI Employee, an intelligent virtual assistant that ensures businesses engage with leads instantly at any time of day, significantly improving conversion rates and driving revenue growth. Podium centralizes communications by consolidating calls, texts, payment links, and bulk messaging campaigns into one intuitive dashboard, simplifying customer outreach and engagement. The AI Employee automates routine customer interactions, delivering timely, accurate, and personalized responses across all communication channels to maintain strong customer relationships. Podium has been widely recognized for its innovation, earning spots on Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies lists. Founded in 2014 and headquartered in Lehi, Utah, Podium is backed by prominent investors including Accel, Summit Partners, GV (Google Ventures), and Y Combinator. The platform empowers businesses to not only respond to leads faster but also to collect more customer reviews and boost Google rankings through automated review requests. Podium’s easy-to-use web and mobile apps enable businesses to manage conversations, payments, and marketing efforts seamlessly. With its focus on AI-driven efficiency and customer satisfaction, Podium is a powerful tool for scaling sales and engagement. Its continuous innovation helps businesses stay ahead in competitive markets by providing superior lead conversion and communication solutions.
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Genesis Computing
Genesis Computing presents a cutting-edge enterprise AI platform that revolves around autonomous "AI data agents" aimed at optimizing intricate data engineering and analytics workflows seamlessly within an organization's current technological ecosystem. This pioneering strategy introduces a novel breed of AI knowledge workers that operate as independent agents, capable of handling extensive data workflows rather than simply offering code recommendations or analytical perspectives. These agents possess the ability to investigate data sources, assimilate and transform datasets, convert raw data from initial systems into structured analytical formats, generate and run data pipeline code, create comprehensive documentation, perform testing, and supervise pipelines in real-time operational environments. By taking charge of these tasks from inception to completion, the platform notably reduces the manual labor typically required to build and maintain data pipelines and analytics frameworks. As a result, organizations can dedicate more of their resources to strategic initiatives instead of becoming overwhelmed by monotonous technical chores. This shift in focus empowers companies to enhance their overall efficiency and drive innovation in their respective industries.
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Collate
Collate is an AI-driven metadata platform designed to provide data teams with automated tools for tasks like discovery, observability, quality, and governance, utilizing efficient agent-based workflows. Built on OpenMetadata, it boasts a unified metadata graph and includes more than 90 seamless connectors that facilitate the collection of metadata from diverse sources, including databases, data warehouses, BI tools, and data pipelines. The platform ensures data integrity by offering in-depth column-level lineage and data profiling, along with no-code quality tests. AI agents are essential for optimizing functions such as data discovery, permission-based querying, alert notifications, and large-scale incident management workflows. In addition, the platform features real-time dashboards, interactive analyses, and a collaborative business glossary that is beneficial to both technical and non-technical users, enhancing the management of valuable data assets. Its automated governance and continuous monitoring uphold compliance with regulations like GDPR and CCPA, significantly cutting down the time required to address data issues while lowering the total cost of ownership. This holistic strategy not only boosts operational efficiency but also promotes a culture of data stewardship within the organization, encouraging all stakeholders to prioritize data quality and governance. Ultimately, Collate empowers teams to harness the full potential of their data assets effectively.
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