Docket
Docket is the leading agentic AI platform that improves pipeline generation and seller efficiency for marketing & sales teams. Docket unifies your organization’s GTM data into the Sales Knowledge Lake™ and activates it with powerful, pre-built AI agents.
Docket’s Marketing Agent engages website visitors through human-like conversations to convert them into qualified leads & customers, while its Sales Agent provides sellers with instant access to product knowledge and solution expertise.
Learn more
Pipedrive
Pipedrive is a powerful CRM and sales pipeline management platform designed to help businesses track and optimize their sales processes. The platform offers automation tools, AI-powered sales insights, and real-time reporting to help businesses close deals faster and more effectively. With customizable workflows, integrations with a wide range of apps, and an intuitive interface, Pipedrive supports sales teams of all sizes in managing leads, automating repetitive tasks, and monitoring performance for smarter, data-driven decisions.
Learn more
GeneXus
Simplify, Automate, and Innovate in Software Development
GeneXus is a cutting-edge Low-Code Platform powered by Artificial Intelligence, designed to simplify, automate, and future-proof the software development process.
By focusing on modeling applications instead of writing code, GeneXus automatically generates complete solutions, from user interfaces to backend systems. This approach reduces complexity, accelerates time-to-market, and ensures effortless adaptability to emerging technologies.
With over 35 years of expertise, GeneXus empowers organizations to build AI-driven systems, modernize legacy software, and create scalable, mission-critical solutions. It supports web, mobile, and desktop platforms while integrating seamlessly with APIs, databases, and enterprise systems.
Trusted in more than 50 countries, GeneXus continues to lead the way as a visionary in the low-code industry.
Learn more
Ferret
An advanced End-to-End MLLM is designed to accept various forms of references and effectively ground responses. The Ferret Model utilizes a combination of Hybrid Region Representation and a Spatial-aware Visual Sampler, which allows for detailed and flexible referring and grounding capabilities within the MLLM framework. The GRIT Dataset, comprising approximately 1.1 million entries, serves as a large-scale and hierarchical dataset specifically crafted for robust instruction tuning in the ground-and-refer category. Additionally, the Ferret-Bench is a comprehensive multimodal evaluation benchmark that simultaneously assesses referring, grounding, semantics, knowledge, and reasoning, ensuring a well-rounded evaluation of the model's capabilities. This intricate setup aims to enhance the interaction between language and visual data, paving the way for more intuitive AI systems.
Learn more