CoStar vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
$2.74B revenue 2024 (+11% YoY); $732M Q1 2025 revenue (+12% YoY); 56th consecutive quarter double-digit growth; 134M+ monthly unique visitors Q4 2024; 6,400+ employees in 14 countries
About
CoStar Group is the leading provider of commercial real estate data, analytics, and marketplace platforms, founded in 1987 in Washington, D.C. by Andrew Florance. The company was built on the conviction that commercial real estate — one of the world's largest asset classes — was fundamentally underserved by reliable data, and that building a proprietary research infrastructure to collect, verify, and distribute property information would create a durable competitive moat. CoStar's core technology combines a massive field research organization with digital data collection tools to maintain the most comprehensive commercial real estate database in the world.\n\nCoStar's product portfolio spans multiple platforms serving different segments of the real estate market: CoStar for commercial real estate professionals, LoopNet for commercial property marketing, Apartments.com for multifamily rental search, Homes.com for residential real estate, and Ten-X for online commercial property auctions. This multi-platform strategy positions CoStar Group as the data and marketplace layer across every major real estate segment. The company attracted more than 134 million unique monthly visitors across its networks in Q4 2024, demonstrating the scale of its audience reach.\n\nCoStar Group reported $2.74 billion in revenue for 2024, an 11% year-over-year increase, marking its 56th consecutive quarter of double-digit revenue growth — a remarkable consistency streak in enterprise SaaS. The company's combination of proprietary data assets, marketplace network effects, and expanding residential real estate ambitions gives it multiple growth vectors as it targets the vast residential brokerage market that dwarfs its existing commercial business.
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.