Levelset vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Construction payment rights and lien management software acquired by Procore; automates mechanics liens, preliminary notices, and lien waivers across all 50 US states, protecting contractors and subcontractors from non-payment in complex projects.
About
Levelset is a New Orleans-based construction payment software company acquired by Procore in 2021, providing mechanics lien management, preliminary notice automation, and payment rights protection tools for contractors, subcontractors, and suppliers in the construction industry. Founded in 2012 as zlien, the company built its product around the insight that lien rights—the legal tools that protect construction participants from non-payment—are chronically underutilized because the process of preserving them is complex, jurisdiction-specific, and deadline-driven. Levelset automates the preparation and delivery of preliminary notices, lien waivers, and mechanics liens across all 50 U.S. states, handling the jurisdictional variation that makes manual compliance extremely difficult for contractors working across multiple states.\n\nLevelset's platform covers the full payment cycle risk management workflow: from preliminary notice delivery at the start of a project through payment status tracking, lien waiver exchange, and mechanics lien filing when payments are disputed or delayed. The company also built a credit risk layer that provides payment history and credit data on general contractors and property owners, helping subcontractors assess payment risk before accepting project work. This financial intelligence capability, combined with payment rights automation, positions Levelset as a cash flow protection tool for the construction supply chain—a segment chronically affected by slow payment and project payment disputes.\n\nSince the Procore acquisition, Levelset has been integrated into the Procore construction management platform, enabling Procore users to access payment rights and lien management tools directly within their existing project management workflow. The combined offering strengthens Procore's value proposition for subcontractors, who have historically been less well served by construction project management platforms focused primarily on GC workflows. Levelset continues to operate as a standalone offering as well, serving contractors who do not use Procore.
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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