Drata vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
$100M ARR Feb 2025 (+61% YoY from $59M 2023); $2B valuation Dec 2022; $420M+ total funding; 7,000 customers (+55% YoY); 23 compliance frameworks; customers: Notion, OpenAI, PagerDuty; GRC market $15B 2025; compliance automation leader
About
Drata is a continuous security and compliance automation platform founded in 2020 by Adam Markowitz, Daniel Marashlian, and Waldo Grunewald in San Diego, California, built to automate the evidence collection, control monitoring, and audit preparation workflows that security compliance programs require. The company was founded by executives who had previously built and sold a compliance-adjacent company (Portfolium to Instructure) and experienced firsthand the manual burden of preparing for SOC 2 audits — a process that consumed weeks of engineering and operations time and had to be repeated annually. Drata's founding insight was that the evidence for compliance controls already exists in cloud infrastructure, identity providers, and SaaS tools, and that automating its continuous collection could transform compliance from a periodic scramble into an always-on, auditor-ready state.\n\nDrata's platform automates compliance across 23 frameworks including SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, CCPA, and FedRAMP, connecting to 200+ integrations across cloud providers, identity systems, endpoint management, ticketing tools, and HR platforms to continuously collect evidence and monitor control status. The platform provides a real-time compliance dashboard, automated risk management, vendor management, employee security training, and access reviews. Drata's in-platform auditor collaboration capability allows audit firms to access evidence directly, replacing email chains and shared drives with a structured audit workflow. The company serves technology companies, healthcare organizations, financial services firms, and any company needing to demonstrate security compliance to enterprise customers.\n\nDrata reached $100 million in annual recurring revenue in February 2025, up 61% year over year, and serves over 7,000 customers — up 55% year over year. The company holds a $2 billion valuation with more than $420 million in total funding from investors including Salesforce Ventures, Iconiq Growth, Alkeon Capital, and GGV Capital. Its rapid ARR growth, exceptional customer expansion rate, and expanding framework coverage position Drata as the market leader in continuous compliance automation as security and regulatory requirements become a prerequisite for enterprise software sales.
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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