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What is Regards?

Regards is an AI-powered relationship management platform built to help professionals nurture connections without the friction of traditional CRM systems. Instead of spending hours typing notes and updating records, users simply leave voice notes or snap photos of business cards, and the AI captures and organizes the important details automatically. It remembers context such as personal interests, family names, shared conversations, career goals, and key dates, ensuring every future interaction feels thoughtful and informed. The platform continuously tracks relationship activity and surfaces meaningful updates from social media and news sources, allowing users to reconnect at the right moment. AI prioritization highlights which contacts need attention each day based on relationship strength, timing, and engagement history. Conversation starters are generated dynamically, helping users craft authentic outreach messages tailored to recent milestones or shared interests. Smart tagging and contextual search enable users to quickly find contacts or introductions without manual categorization. Designed mobile-first, Regards integrates seamlessly into daily routines, making relationship building effortless rather than administrative. It supports real estate agents, agency owners, consultants, founders, and small business professionals who rely on referrals and repeat clients. By focusing on relationships rather than deals, the platform shifts networking from reactive to proactive. With minimal daily time investment, users can maintain hundreds of meaningful connections at scale. Ultimately, Regards turns consistent, thoughtful outreach into a systematic engine for word-of-mouth growth and long-term business success.

What is FICO Identity Resolution Engine?

The FICO® Identity Resolution Engine thoroughly investigates various and separate data sources to uncover links between individuals, locations, and events that could indicate fraudulent behavior and money laundering. Utilizing sophisticated fuzzy matching algorithms significantly enhances its ability to detect anomalies, while graph analytics offer real-time visual representations of connections between accounts, applicable both during and after transaction recording. By integrating multiple data points within a single application, it effectively connects them with other applications and accounts, even if the relationships are indirect. The system automates ongoing analysis of accounts based on their risk profiles, enabling it to uncover connections that may only surface after transactions take place. Additionally, it proactively identifies and prioritizes organized fraud and criminal activities through predictive analytics focused on relationships. With capabilities to perform federated searches across raw data and implement intricate link analysis, it utilizes advanced querying tools alongside visual link charts to deepen the understanding of the data ecosystem. Consequently, the FICO® Identity Resolution Engine plays a critical role not only in detecting fraudulent activities but also in facilitating the continuous investigation of such behaviors, ensuring a robust approach to financial security.

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Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$19/month
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Madras Made Digital Solutions Pvt Ltd.

Date Founded

2025

Company Website

regardsapp.ai/

Company Facts

Organization Name

FICO

Date Founded

1956

Company Location

United States

Company Website

www.fico.com/en/products/fico-identity-resolution-engine

Categories and Features

AI Tools

Not specified

Categories and Features

Identity Resolution

Not specified

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