Square vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Q2 2025: Gross profit $2.5B (+14% YoY), adjusted operating income $550M (+38% YoY); raised full year guidance to $10.17B gross profit (+14% YoY); mid-market merchants 45% of GPV with 20% annual growth
About
Square was founded in 2009 by Jack Dorsey and Jim McKelvey to enable any business owner to accept card payments with a smartphone and simple dongle, democratizing point-of-sale infrastructure that had been gated behind expensive hardware and merchant account applications. The founding insight — that payment acceptance was a software problem, not a financial services gatekeeping function — transformed the merchant services market. Square's core technology evolved from a card reader into a full commerce operating system covering payments, POS software, inventory, scheduling, and loyalty.\n\nSquare's platform serves businesses from sole-proprietor food stalls to multi-location retailers with Square POS, Square Online for e-commerce, Square Payroll, Square Loans, Square Marketing, and hardware including terminals and kitchen display systems. It is designed to provide enterprise-grade commerce functionality without enterprise-grade implementation complexity. Square is a subsidiary of Block, Inc. — renamed from Square, Inc. in 2021 — alongside Cash App and Afterpay.\n\nSquare generated $2.5 billion in gross profit in Q2 2025, up 14% year-over-year, with Block raising full-year 2025 guidance to $10.17 billion. It competes with Shopify, Toast, and Stripe, differentiating through hardware-to-software integration, SMB focus, and embedded financial services including Square Loans and Afterpay. Its combination of payment processing scale, business management software, and embedded financial products positions it as the most comprehensive commerce platform for US SMBs.
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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