Scribe Therapeutics vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Raised $100M Series B. Jennifer Doudna co-founder. Sanofi + Eli Lilly partnerships. STX-1150 (PCSK9 silencing via CasX-ELXR) IND projected mid-2026 — no permanent DNA edits.
About
Scribe Therapeutics was co-founded by Jennifer Doudna — who shared the 2020 Nobel Prize in Chemistry for CRISPR-Cas9 invention — and develops the ELXR platform: a CasX-based epigenetic silencing system that reduces gene expression without making permanent DNA cuts. The company has raised $100 million in Series B financing with strategic partnerships with Sanofi and Eli Lilly. The lead program, STX-1150, targets PCSK9 for durable LDL-C reduction and is projected to receive an IND and enter human trials in mid-2026.
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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