Plan A vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Berlin Germany sustainability and carbon management SaaS raised €20M+; serves 200+ companies across Europe; covers double materiality assessment for CSRD compliance, carbon footprint calculation, ESG scoring, and regulatory report generation for DACH-region enterprises.
About
Plan A is a Berlin-based sustainability management platform founded in 2017 that has raised over €20M in funding. The company provides an integrated software solution for corporate carbon accounting, ESG reporting, and net-zero planning, serving over 200 companies predominantly in the DACH region and broader Europe. Plan A was one of the early European entrants in the corporate sustainability software market.\n\nThe platform covers the full ESG lifecycle, from data collection and carbon footprint calculation to materiality assessments, ESG scoring, and regulatory report generation. Plan A supports multiple reporting frameworks including GHG Protocol, CDP, GRI, and the EU taxonomy. Its module for double materiality assessment is particularly relevant for companies navigating the CSRD requirements that mandate identifying both financial and impact materiality.\n\nPlan A targets mid-size to large enterprises in Europe that need a comprehensive ESG platform rather than a point solution. It competes with Greenly, Normative, and Sweep in the European market. The company differentiates through its breadth of ESG coverage beyond just carbon, its consultancy network of sustainability experts, and its early mover advantage in the EU regulatory compliance space.
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.
About
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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