
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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AI Sales Representative - Your Future Sales Agent May Not Be Human at All
Transform your engaged website visitors into sales-ready leads without dedicating even a single working hour.
Using our cutting-edge WebID + Person identification technology, we target the most engaged visitors on your site, focusing on those who can provide the greatest value to your sales initiatives.
- Comprehensive Prospect Information: We collect 40 essential data points for each prospect, including their first name, last name, email address, and more.
- Engaged Yet Unidentified: These prospects are actively researching online but haven't yet interacted with your sales team.
- Key Position in the Sales Funnel: These visitors are well into your sales funnel, spending significant time on your crucial 'buying pages' while remaining anonymous, making them prime candidates for conversion into appointments.
- AI-Powered Engagement: Our AI Sales Rep adeptly identifies and engages these visitors, encouraging them to show interest in your offerings. This entire process is automated, allowing your sales team to focus solely on the leads that are most likely to convert—your accessible opportunities.
By harnessing AI, you can seamlessly convert your website visitors into leads that are ready for meetings, all while enhancing efficiency in your sales process.
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Charm.io
Harness the power of Charm to explore and evaluate a staggering 4 million ecommerce brands around the world, gaining invaluable insights that assist in lead generation, merchandising, and sourcing. With Charm, you can create a robust pipeline of ecommerce brands and TikTok Shops by identifying and connecting with those that fit your specific criteria, utilizing filters based on essential metrics such as the Charm Growth Score™, Charm Success Score™, ad activity, technology stack, marketplace involvement, and social media presence. Additionally, discover up-and-coming brands that are making waves online and on TikTok Shop by refining your search by product category, allowing you to select brands that perfectly match your retail requirements for more strategic merchandising decisions. Gain access to comprehensive insights that enable you to assess potential investment opportunities, as Charm’s Growth Score™ has a proven track record of spotlighting breakout brands before they achieve mainstream success. By employing sophisticated analytics, you can identify promising businesses and make well-informed sourcing and investment choices. Furthermore, Charm.io leverages proprietary AI models to meticulously identify, analyze, and score every ecommerce brand available online, utilizing over 70 filters to help you compile lists of brands that fit your ideal customer profile, ultimately enhancing your business strategies. This comprehensive approach provides a significant advantage in navigating the increasingly competitive ecommerce landscape.
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DuckDB
Managing and storing tabular data, like that in CSV or Parquet formats, is crucial for effective data management practices. It's often necessary to transfer large sets of results to clients, particularly in expansive client-server architectures tailored for centralized enterprise data warehousing solutions. The task of writing to a single database while accommodating multiple concurrent processes also introduces various challenges that need to be addressed. DuckDB functions as a relational database management system (RDBMS), designed specifically to manage data structured in relational formats. In this setup, a relation is understood as a table, which is defined by a named collection of rows. Each row within a table is organized with a consistent set of named columns, where each column is assigned a particular data type to ensure uniformity. Moreover, tables are systematically categorized within schemas, and an entire database consists of a series of these schemas, allowing for structured interaction with the stored data. This organized framework not only bolsters the integrity of the data but also streamlines the process of querying and reporting across various datasets, ultimately improving data accessibility for users and applications alike.
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