Side-by-side comparison of AI visibility scores, market position, and capabilities
Birmingham AL tech-enabled SFR property management at 23,000+ units/$75M 2025 revenue; Poplar Homes acquisition Jan 2025 with $15M LL Funds established as #2 tech-enabled PM platform competing with AppFolio for residential investor management.
Evernest is a Birmingham, Alabama-based tech-enabled residential property management company — backed with growth capital from LL Funds — providing single-family home, condo, and small multifamily property investors with full-service property management across 50+ US markets, managing 23,000+ units for approximately 9,000 investors and generating approximately $75 million in annual revenue as of 2025. In January 2025, Evernest completed its largest acquisition — acquiring Poplar Homes (a tech-enabled property management platform) alongside $15 million in new funding from LL Funds — establishing Evernest as the second-largest tech-enabled property management platform in the US and expanding into six new states including West Coast markets. Evernest has executed 18+ property management company acquisitions in its acquisition-led growth strategy. CEO Matthew Whitaker founded the company during the 2008 financial crisis when he was forced to rent rather than sell his investment properties. Evernest has appeared on the Inc. 5000 list eight times in nine years (ranked #1,743 in 2025). 379 employees.
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.