Side-by-side comparison of AI visibility scores, market position, and capabilities
Insurance Agency Management & Connectivity Platform
Insurance agency management and connectivity platform. University Park IL. PE-backed. Serves 50,000+ agencies globally with EPIC AMS, CSR24, and carrier connectivity network.
Applied Systems is the largest insurance technology company serving independent agencies and brokers, headquartered in University Park, Illinois, and backed by private equity. The company's flagship EPIC agency management system (AMS) is used by over 50,000 agencies in the United States, Canada, the UK, and Ireland, managing policy data, client relationships, accounting, document management, and carrier communications for the global independent agent distribution channel. Applied also owns EZLynx (comparative rating), CSR24 (client self-service portal), and a suite of connectivity tools that form the backbone of independent agent technology infrastructure.\n\nApplied's carrier connectivity platform is a critical component of the insurance distribution ecosystem — providing the technology infrastructure that transmits data between agencies and hundreds of insurance carriers, enabling real-time quoting, policy downloads, and claims status. Applied Connect, the company's API-based connectivity network, processes billions of transactions annually between agents and carriers, making Applied a de facto infrastructure provider for the independent agent channel. This network effect creates significant switching costs and competitive barriers that newer AMS vendors struggle to overcome.\n\nApplied Systems has grown primarily through acquisition, building a portfolio of complementary products including EZLynx, Planck (AI-powered commercial lines underwriting), and international AMS platforms. The company's PE backing has funded aggressive product investment and international expansion, positioning Applied as a global insurance distribution technology platform rather than purely a domestic AMS vendor. As independent agents face growing competition from direct digital insurance channels, Applied's investment in modern APIs, analytics, and digital client experience tools supports agents' competitiveness.
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.
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).
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.