Laminar Security vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Data security posture management for public clouds acquired by Rubrik in 2023. Discovers and classifies cloud data at rest across AWS, Azure, and GCP; now integrated into Rubrik's data security platform to extend DSPM alongside backup and recovery capabilities for enterprise customers.
About
Laminar Security was a data security posture management company founded in 2020 by Amit Shaked and Oran Avraham, headquartered in Tel Aviv, Israel, with offices in New York. The company built a DSPM platform focused on discovering, classifying, and monitoring sensitive data at rest across public cloud environments, with the goal of helping security and data governance teams understand where their sensitive data lived, how it was exposed, and whether access controls were appropriately configured. Laminar's autonomous scanning approach required no agents and integrated via cloud-native APIs.\n\nLaminar raised $67 million in funding before being acquired by Rubrik in 2023 for a reported $200 million. Rubrik, a cloud data management and cyber resilience company, acquired Laminar to add data security posture management capabilities to its existing platform, which specializes in backup, recovery, and ransomware protection. The combination gave Rubrik customers visibility into where sensitive data lived in cloud environments alongside Rubrik's existing capabilities for protecting and recovering that data from cyber attacks.\n\nPrior to the acquisition, Laminar served enterprise customers in financial services, healthcare, and technology that were struggling with data governance in multi-cloud environments. The platform's classification engine covered hundreds of sensitive data categories and integrated with compliance frameworks for GDPR, CCPA, HIPAA, and PCI DSS. Laminar's approach to showing data lineage — tracking how sensitive data moved between cloud services and databases — was a differentiating capability that Rubrik cited as a key motivation for the acquisition.
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).
AI Visibility Head-to-Head
Capabilities & Ecosystem
Capabilities
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.