Side-by-side comparison of AI visibility scores, market position, and capabilities
Indoor vertical farming company using AI-optimized growing systems. San Francisco, CA. Raised $940M+ including $400M from SoftBank. Partners with Walmart for US farms.
Plenty is a San Francisco-based indoor vertical farming company that uses AI, machine learning, and robotics to grow leafy greens and other produce in controlled indoor environments. The company has raised over $940 million from investors including SoftBank Vision Fund, which invested $200 million in 2017, and has positioned itself as the technology leader in data-driven indoor agriculture.\n\nPlenty's farms use precisely controlled light, temperature, humidity, and nutrient conditions to grow crops that are free from pesticides, use 99% less land, and consume significantly less water than conventional field agriculture. The company's AI systems continuously optimize growing conditions based on sensor data, learning to improve yields and quality across crops and growing cycles.\n\nIn 2022, Plenty announced a landmark partnership with Walmart to supply leafy greens from a new large-scale facility in Compton, California. This partnership provided both a major commercial anchor and significant additional funding from Walmart, validating Plenty's technology and business model at scale. The company also operates a dedicated strawberry R&D partnership with Driscoll's, the world's largest berry company, demonstrating the platform's potential beyond leafy greens.
DeepSeek-V3 and R1 models shocked the AI industry with top-tier performance at <1% of OpenAI training costs. 96.88M MAU; open-weights model downloaded 5M+ times. Owned by High-Flyer (Chinese quant fund); demonstrated efficient AI without massive GPU clusters.
DeepSeek is a Chinese AI research company and LLM platform founded in 2023 as a subsidiary of High-Flyer, a quantitative hedge fund. The company made global headlines in early 2025 when it released DeepSeek-V3 and DeepSeek-R1, large language models that achieved top-tier performance on reasoning and coding benchmarks at a fraction of the training cost of comparable Western models. DeepSeek's engineering innovations—including mixture-of-experts architectures, multi-head latent attention, and efficient RLHF pipelines—demonstrated that frontier AI capability could be achieved with far less compute than previously assumed.\n\nDeepSeek offers its models through an API platform competitive with OpenAI and Anthropic, as well as releasing open-weights versions that can be downloaded and self-hosted. Its R1 reasoning model became especially popular for STEM tasks, coding, and mathematical problem solving. The open-weights strategy has made DeepSeek models a foundational choice for researchers, enterprises running private deployments, and developers seeking cost-efficient inference. DeepSeek's pricing is dramatically below Western API competitors, accelerating adoption globally.\n\nDeepSeek-R1's open-weights release was downloaded over 100 million times and triggered significant recalibration across the AI industry about training efficiency and the cost of frontier capabilities. The platform now serves 96.88 million monthly active users, rivaling major Western AI products in scale. DeepSeek's emergence reshaped the competitive landscape in 2025-2026, forcing cost reductions from OpenAI, Google, and Anthropic, and raising important questions about AI export controls and the global race for AI supremacy.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.