FreeWill vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
NYC planned giving PBC (founded 2017) with $30M Series B (Bain Capital Double Impact); 1M+ estate plans and $10B+ charitable giving committed across 1,500+ nonprofits; acquired Grant Assistant AI grant writing in 2024.
About
FreeWill is a New York City-based public benefit corporation and certified B Corp — backed with $30 million in Series B funding led by Bain Capital Double Impact — providing free online estate planning tools (wills, living trusts, powers of attorney, healthcare directives) that simultaneously democratize access to legal services for individuals and unlock major gifts for nonprofit partners. Founded in 2017 at Stanford University by co-CEOs Jennifer Xia Spradling and Patrick Schmitt, FreeWill has facilitated over one million free estate plans and generated more than $10 billion in committed charitable giving for 1,500+ nonprofit partners. In 2024, FreeWill acquired Grant Assistant, an AI-powered grant proposal platform that reduces grant writing time by two-thirds — marking FreeWill's first international expansion with teams added in Washington D.C. and Lahore, Pakistan. FreeWill employs 200 people across the United States and internationally, with Spradling leading product and engineering from Seattle while Schmitt leads sales and customer success from Miami.
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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