Included Health vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Included Health provides comprehensive health navigation and care delivery for employers, specializing in complex conditions, mental health, and LGBTQ+ healthcare needs.
About
Included Health is a digital health company formed through the 2021 merger of Grand Rounds Health and Doctor On Demand, creating a unified platform for health navigation and virtual care delivery for employer health plans. The company provides members with access to expert second opinions, specialist referrals, primary care, mental health services, and benefits navigation through a single integrated platform. Included Health has built specialized expertise in serving populations with complex care needs including members with serious diagnoses, those seeking LGBTQ+-affirming care, and employees navigating mental health challenges. The company raised over $300M and serves large self-insured employers as a comprehensive health benefit that supplements traditional insurance. The merger combined Grand Rounds' navigation and expert medical opinion capabilities with Doctor On Demand's virtual primary care and psychiatry platform, creating broader clinical coverage than either company offered independently. Included Health positions itself as a health equity platform that improves outcomes for all employees regardless of their health complexity, geographic location, or demographic characteristics.
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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