Icertis vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
$350M ARR Aug 2025; $520M funding; $2.8-5B valuation; 250+ customers; 30%+ Fortune 100; Microsoft partnership; 2025 IDC Leader; contract lifecycle management leader
About
Icertis was founded in 2009 in Bellevue, Washington, by Samir Bodas and Monish Darda with a mission to transform how companies manage contracts — the foundational commercial agreements that govern every business relationship. Built natively on Microsoft Azure and deeply integrated with the Microsoft ecosystem, Icertis developed its Contract Intelligence platform to bring AI-powered automation, compliance, and analytics to enterprise contract lifecycle management at a scale no previous CLM solution had achieved.\n\nThe Icertis Contract Intelligence (ICI) platform covers the full contract lifecycle from authoring and negotiation to execution, obligation management, and renewal. It leverages AI for clause analysis, risk scoring, obligation extraction, and contract benchmarking against market standards. The platform is deeply embedded in enterprise workflows through integrations with SAP, Salesforce, Microsoft 365, and Workday, and supports over 10 million contracts across 40+ languages. Customers include Microsoft itself, Cognizant, Boeing, and major global manufacturers and financial institutions.\n\nIcertis surpassed $350M in ARR in August 2025 and has raised $520M in total funding at a valuation estimated between $2.8B and $5B. The company counts 30%+ of Fortune 100 companies among its 250+ enterprise customers, making it the market leader in enterprise CLM by both deal size and strategic footprint. Its Microsoft partnership — which includes co-selling and deep Azure integration — provides a durable distribution advantage in the enterprise market that challengers have struggled to replicate.
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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