TelemetryTV serves as a robust digital signage platform that enables organizations to engage their audiences, raise awareness, and empower their communities and teams. With TelemetryTV, users can seamlessly share vibrant content, including videos, images, and social media feeds, across all their displays, regardless of location. Esteemed organizations like Starbucks, Amazon, and Stanford University utilize TelemetryTV to enhance their internal communications and marketing efforts. Our achievements stem from our adaptability, commitment to open dialogue, teamwork, and a focus on collaboration. We prioritize ongoing learning, question traditional practices, and are attentive to our customers' needs. As we advance toward a future where our environments might communicate, it prompts a thought: What message would you like them to convey? Ultimately, the possibilities for impactful communication are limitless.
Learn more

Jscrambler is the leader in Client-Side Security, protecting the code, data, and digital interactions that power modern web applications.
As organizations increasingly adopt AI-generated code, third-party software components, and AI-powered agents, more critical application logic and sensitive data are exposed within the browser. Jscrambler provides the security and governance layer for this environment, giving enterprises visibility and control over what happens at runtime.
The Jscrambler Client-Side Security Platform is powered by a Behavioral Enforcement Core that continuously monitors and enforces how application code, including AI-generated code, third-party scripts, AI agents, and sensitive data behave in the browser. By enforcing software integrity and data governance at runtime, Jscrambler helps organizations prevent client-side attacks, protect sensitive data, and maintain control over digital experiences.
Trusted by organizations across financial services, retail, travel, healthcare, and other industries, Jscrambler helps enterprises address client-side security and compliance requirements including PCI DSS, GDPR, HIPAA, CIPA, CCPA, and the EU AI Act.
Learn more
Mudbox
Mudbox stands out as a robust application designed for 3D digital painting and sculpting, empowering artists to design breathtaking characters and engaging environments. Its hands-on toolset allows for the precise sculpting and painting of detailed elements on 3D models and textures. This software, known as Mudbox® 3D, features an accessible interface that emulates traditional sculpting methods, enabling the construction of intricate 3D figures and landscapes. Artists have the capability to paint directly onto their models across multiple channels, thereby refining the texturing stages. The camera-based workflow provides the flexibility to enhance resolution selectively in targeted areas of the mesh, catering to the needs of artists. Users can generate clean, production-ready meshes from diverse origins such as scanned, imported, or hand-sculpted data. Additionally, the software facilitates the baking of normal, displacement, and ambient occlusion maps, which simplifies the overall texturing workflow. Brush-based techniques are effectively implemented for both polygons and textures, fostering a blend of efficiency and artistic innovation. Artists can effortlessly transition assets from Maya to Mudbox, enriching their models with intricate details. Furthermore, characters can be smoothly sent from Maya LT to Mudbox for both sculpting and texturing, and then returned to Maya LT for any necessary tweaks. This seamless integration empowers creators to transform their 3D assets and environments from initial drafts into refined, high-quality visuals, fully realizing their creative aspirations. In conclusion, Mudbox is not only a vital resource for artists but also a gateway for bringing their imaginative worlds into vivid reality.
Learn more
MiniMax M3
MiniMax M3 is an open-weight multimodal foundation model from MiniMax that brings together coding capability, agentic reasoning, native multimodality, and long-context processing in one model. It is designed for demanding AI workflows where a system needs to understand large amounts of information, reason through multi-step tasks, use tools, and work with different input types. MiniMax M3 supports a context window of up to 1 million tokens, making it useful for large code repositories, long documents, multi-file analysis, research workflows, enterprise automation, and persistent agent memory. The model uses MiniMax Sparse Attention, an architecture built to improve efficiency at very long context lengths by reducing the cost of attention. MiniMax M3 is natively multimodal and can work with text, images, and video inputs, allowing it to support richer workflows than text-only language models. It is positioned for coding, software engineering, tool invocation, browser-style retrieval, computer-use-style tasks, and autonomous task decomposition. The model’s architecture includes a large total parameter count with a smaller number of activated parameters, supporting more efficient inference through a mixture-of-experts design. Developers can use MiniMax M3 to build coding assistants, AI agents, document intelligence systems, multimodal analysis tools, and automated enterprise workflows. Its long-context design helps reduce the need to compress or split large inputs, allowing teams to keep more project context available during reasoning. The model is available through open-weight releases and hosted API providers, giving developers multiple ways to test, deploy, or integrate it into applications. MiniMax M3 helps organizations build advanced AI systems that combine long memory, multimodal understanding, coding strength, and agentic execution.
Learn more