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.
Serverless GPU cloud platform for AI/ML with Python-native deployment and per-second billing; developer-favorite scaling from zero competing with Replicate and Beam for AI compute.
Modal is a serverless cloud computing platform purpose-built for AI and machine learning workloads — providing on-demand GPU compute that scales instantly from zero with per-second billing, container management, distributed training support, and a Python-native developer experience that makes running ML workloads in the cloud feel as simple as running code locally. Founded in 2021 in New York City and backed by Redpoint Ventures and other investors, Modal has grown rapidly as AI development has accelerated demand for flexible, developer-friendly GPU infrastructure.\n\nModal's developer experience is its primary differentiator — engineers write Python functions decorated with @modal.function() and deploy them to the cloud with a single command, with Modal handling container building, GPU provisioning, auto-scaling, and execution. The platform supports training jobs that need distributed compute across multiple GPUs, model serving endpoints that scale to zero when unused (eliminating idle GPU costs), and batch inference jobs that process large datasets. The per-second billing model means developers pay only for actual compute time, not provisioned instances.\n\nIn 2025, Modal competes in the AI infrastructure market with Replicate, Beam, Banana, and major cloud providers' managed ML services (AWS SageMaker, Google Vertex AI, Azure ML) for serverless GPU compute. The market for AI-specific cloud infrastructure has grown dramatically as the number of ML engineers deploying models to production has expanded — traditional cloud providers require significant DevOps expertise to use GPU instances effectively, while Modal's Python-native approach reduces the barrier to entry. Modal has attracted a strong developer following among AI researchers and ML engineers building production AI applications. The 2025 strategy focuses on growing the developer community, adding enterprise features (dedicated GPU capacity, private networking, compliance), and expanding the hardware options available (H100 GPUs, custom accelerators).
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