
Retool is an AI-driven platform that helps teams design, build, and deploy internal software from a single unified workspace. It allows users to start with a natural language prompt and turn it into production-ready applications, agents, and workflows. Retool connects to nearly any data source, including SQL databases, APIs, and AI models, creating a real-time operational layer on top of existing systems. The platform supports AI agents, LLM-powered workflows, dashboards, and operational tools across teams. Visual app building tools allow users to drag and drop components while seeing structure and logic in real time. Developers can fully customize behavior using code within Retool’s built-in IDE. AI assistance helps generate queries, UI elements, and logic while remaining editable and schema-aware. Retool integrates with CI/CD pipelines, version control, and debugging tools for professional software delivery. Enterprise-grade security, permissions, and hosting options ensure compliance and scalability. The platform supports data, operations, engineering, and support teams alike. Trusted by startups and Fortune 500 companies, Retool significantly reduces development time and manual effort. Overall, it enables organizations to build smarter, AI-native internal software without unnecessary complexity.
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Iris delivers powerful, easy-to-use identity and cyber protection solutions that help organizations protect their customers from identity theft, fraud, and digital threats — while driving engagement, retention, and new revenue opportunities. As a B2B2C provider, Iris enables businesses to seamlessly integrate identity protection into their existing products, platforms, and customer journeys.
Iris offers multiple deployment models to meet different business and technical needs:
• Identity Protection API: A scalable API solution that allows organizations to embed a suite of solutions that can be mixed and matched directly into their applications — while maintaining full control over branding and user experience.
• Micro-Experiences: Prebuilt, customizable components that can be quickly embedded into websites or apps, enabling fast time-to-market with minimal development resources.
• OnWatch® Portals: Fully managed, white-labeled identity protection platforms for organizations that prefer a turnkey solution.
Iris solutions include dark web monitoring, credit monitoring, high-risk transaction monitoring, social media monitoring, caller ID monitoring, scam analysis & support, dynamic risk assessment tools, robust device protection software, data removal tools, do-it-for-you fraud resolution services, and more.
Organizations use Iris to enhance customer trust, differentiate their offerings, reduce customer churn, and increase customer lifetime value. With proven results — including revenue generation, increased retention, and improved customer satisfaction — Iris transforms identity protection into a strategic business advantage.
Backed by Generali and more than 20 years of experience, Iris combines global scale, advanced technology, and expert-led support to deliver meaningful protection and measurable outcomes.
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Mend.io
Mend.io introduces the industry's first AI-native application security platform, designed to secure software regardless of its origin – human or AI-generated. It offers a unified solution for AI security, SAST, SCA, container scanning, and Mend Renovate, giving development and security teams complete visibility and control over risks. With AI-powered remediation and a straightforward pricing model, Mend.io provides a scalable, proactive, and developer-friendly AppSec experience in a single platform.
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Grace Enterprise AI Platform
The Grace Enterprise AI Platform distinguishes itself as an all-encompassing solution that thoroughly tackles Governance, Risk & Compliance (GRC) issues related to artificial intelligence. By facilitating a secure and efficient integration of AI technologies, Grace empowers organizations to harmonize their workflows and processes across various AI projects. It includes a robust array of functionalities that enable organizations to attain AI expertise while proactively managing regulatory risks that may impede AI implementation. The platform effectively lowers the entry barriers for users in diverse roles, including technical personnel, IT specialists, project leads, and compliance agents, while also addressing the requirements of experienced data scientists and engineers through streamlined workflows. Furthermore, Grace ensures that all actions are carefully documented, justified, and enforced, encompassing all facets of data science model development, such as the data used in training and any potential biases in the models. This comprehensive strategy strengthens the platform's dedication to promoting a culture of accountability and compliance within AI practices, ultimately leading to more responsible AI deployment across the board. By emphasizing transparency and rigorous documentation, Grace solidifies its role as a leader in ethical AI governance.
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