TelemetryTV is a powerful platform for digital signage that allows organizations to connect with audiences, generate awareness and give voice to their communities and teams.
TelemetryTV lets you broadcast dynamic content by streaming video, images and social feeds to all your displays, wherever they may be.
TelemetryTV powers internal communications and marketing at Starbucks, Amazon and Stanford University.
Our success is based on being flexible, open to communication, collaborative, and open to collaboration. We believe in continuous learning, challenging the status-quo, and listening to customers.
We are moving towards a world in which our walls will eventually talk. This begs the question: What do you want them saying?
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Amazon sellers profit analytics that are accurate Provide detailed information about Amazon fees (e.g. FBA fee, commissions, PPC spend, return cost, promotion costs and your fixed costs (e.g. Virtual Assistant, Prep Center You can also view your data by time period (today or yesterday) and by product. Our flexible charts allow for quick and easy analysis of your Key Performance indicators. Everything can be customized: KPI's (e.g. sales, units profit, return costs etc. The output can be filtered by timeframe and granularity (e.g. last year by month, or last month by day). You can filter the view by product or marketplace (with multi-selection). You can view summary information and drill down into product details for each period. It's a clickable, smart P&L statement that allows you to focus on each parameter (e.g. amazon fees) for each time period.
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MiniMax M3
MiniMax M3 is a frontier open-weight AI model built for coding, agentic work, multimodal understanding, and ultra-long-context tasks. The model supports up to a 1 million token context window, allowing it to work across large codebases, long documents, logs, project histories, and complex task environments. MiniMax M3 introduces MiniMax Sparse Attention, a sparse attention architecture designed to make long-context processing more efficient. The model is natively multimodal, with training that supports deeper semantic fusion across text, image, and video inputs. It is designed to support software engineering tasks, repository analysis, terminal-style work, browser-style retrieval, tool use, and autonomous workflows. MiniMax M3 has a mixture-of-experts architecture with hundreds of billions of total parameters and a smaller activated parameter count for more efficient inference. Developers can use it for AI coding assistants, workflow automation, research agents, document analysis, visual reasoning, and enterprise AI systems. Its long-context capability makes it especially useful when tasks require many files, references, instructions, or interaction histories to stay available at once. MiniMax M3 helps teams build more capable AI agents that can understand larger problems, work across multiple modalities, and execute complex tasks with stronger context awareness.
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Amazon Nova Micro
Amazon Nova Micro is an advanced text-only AI model optimized for rapid language processing at a very low cost. With capabilities in reasoning, translation, and code completion, it offers over 200 tokens per second in response generation, making it suitable for fast-paced, real-time applications. Nova Micro supports fine-tuning with text inputs, and its efficiency in understanding and generating text makes it a cost-effective solution for AI-driven applications requiring high performance and quick outputs.
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