Lithic vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Card issuing and payment infrastructure platform for developers. NYC, raised $60M+, provides card APIs for fintech companies and platforms building embedded payment products.
About
Lithic is a card issuing and payment infrastructure platform built for developers and product teams building embedded payment experiences. Founded in 2016 and headquartered in New York City, the company has raised over $60 million in funding. Lithic provides APIs for virtual and physical card issuance, transaction authorization, spend controls, and payment data that companies integrate into their software products to add card-based financial capabilities.\n\nLithic's developer-first approach distinguishes it in the card issuing space — the platform is designed for technical teams who want to integrate card functionality directly into their product without the overhead of working through traditional banking infrastructure. Its sandbox environment allows developers to test card programs end-to-end before going live, and its documentation and SDK support accelerate time to production. Lithic handles the regulatory infrastructure including BIN sponsorship, network membership, and issuer licensing on behalf of its customers.\n\nLithic's card programs support a range of use cases including corporate expense cards, marketplace disbursement cards, gaming and rewards cards, and B2B payment cards. The platform's programmable spend controls allow issuers to set merchant category restrictions, transaction limits, and velocity controls that enforce specific spending policies for each card type. Lithic has focused on transparency and pricing clarity as differentiators in a market where interchange economics and interchange sharing structures are often opaque.
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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