Opsera vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Palo Alto DevSecOps orchestration platform at $51.3M raised ($20M Prosperity7 Series B 2025); Hummingbird AI autonomous agents Oct 2025 with 200% revenue growth serving Cisco/Honeywell/Sephora competing with GitLab for CI/CD.
About
Opsera is a Palo Alto, California-based AI-powered DevSecOps orchestration platform — having raised $51.3 million total including a $20 million Series B in 2025 led by Prosperity7 Ventures with Hitachi Ventures — providing enterprises with a no-code, continuous orchestration platform that automates and streamlines software delivery pipelines while embedding security and compliance across CI/CD workflows. Founded in January 2020 by co-founders Chandra Ranganathan and Kumar Chivukula (industry veterans who met at Symantec and later tackled DevOps automation challenges at Uber), Opsera has achieved 200% revenue growth since its $15 million Series A in April 2021. Enterprise customers including Cohesity, Cisco, Honeywell, Guardant Health, Qualys, Sephora, and Siemens rely on Opsera for complex DevSecOps workflows. In October 2025, Opsera unveiled the Hummingbird AI platform — introducing autonomous AI agents that dynamically analyze, adapt, and optimize software delivery in real-time, transforming DevOps telemetry into actionable intelligence. Opsera has won the Tech Ascension Award in DevOps and the 2025 CloudX Award for Cloud Application Platforms.
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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