Forethought is the most advanced generative AI agent for customer support and your 24/7 AI team member. Trained on your unique data sets and upholding the highest security protocols, Forethought delivers natural conversations through AI and eliminates inefficiencies to improve response times, resolution rates, and customer satisfaction scores at every interaction.
- Add an AI Agent that is a 24/7 team member, reducing workload so your team can focus on delivering exceptional support.
- Only Forethought ingests historical and current ticket data for AI specific to your business needs to deliver a personalized experience.
- We're not just about meeting privacy standards – we're setting them, to keep you and your data secure every step of the way.
Learn more

Gemini Enterprise Agent Platform is Google Cloud’s next-generation system for designing and managing advanced AI agents across the enterprise. Built as the successor to Vertex AI, it unifies model selection, development, and deployment into a single scalable environment. The platform supports a vast ecosystem of over 200 AI models, including Google’s latest Gemini innovations and popular third-party models. It offers flexible development tools like Agent Studio for visual workflows and the Agent Development Kit for deeper customization. Businesses can deploy agents that operate continuously, maintain long-term memory, and handle multi-step processes with high efficiency. Security and governance are central, with features such as agent identity verification, centralized registries, and controlled access through gateways. The platform also enables seamless integration with enterprise systems, allowing agents to interact with data, applications, and workflows securely. Advanced monitoring tools provide real-time insights into agent behavior and performance. Optimization features help refine agent logic and improve accuracy over time. By combining automation, intelligence, and governance, the platform helps organizations transition to autonomous, AI-driven operations. It ultimately supports faster innovation while maintaining enterprise-grade reliability and control.
Learn more
GWM-1
GWM-1 is Runway’s first family of General World Models created to interact dynamically with simulated reality. Built on Gen-4.5, the model produces real-time, action-conditioned video rather than static imagery alone. GWM-1 allows users to control environments through camera motion, robotics commands, events, and speech inputs. It generates coherent visual scenes that persist across movement and time. The model supports synchronized video, image, and audio generation for immersive simulation. GWM-1 is designed to learn from interaction and trial-and-error rather than passive data consumption. It enables realistic exploration of both physical and imagined worlds. Runway positions GWM-1 as foundational technology for robotics, training, and creative systems. The model scales across multiple domains without manual environment design. GWM-1 marks a shift toward experiential AI systems.
Learn more
Lucky Robots
Lucky Robots is an innovative platform dedicated to robotics simulation that empowers teams to train, assess, and enhance AI models for robots within meticulously crafted virtual environments that closely reflect the nuances of real-world physics, sensors, and interactions. This system facilitates the extensive creation of synthetic training data and allows for swift iterations without the need for physical robots or expensive lab environments. By leveraging cutting-edge simulation technology, it constructs hyper-realistic scenarios, such as kitchens and various terrains, enabling the exploration of diverse edge cases and the generation of millions of labeled episodes to support scalable model learning. This approach not only speeds up development but also significantly cuts costs and minimizes safety risks. Additionally, the platform accommodates natural language control in its simulated environments, provides the flexibility for users to upload their own robot models or select from existing commercial options, and incorporates collaborative tools through LuckyHub for sharing environments and training workflows. As a result, developers can optimize their models more effectively for real-world applications, ultimately enhancing the performance and reliability of their robotic solutions.
Learn more