Side-by-side comparison of AI visibility scores, market position, and capabilities
Brokerage platform for top agents; launch a boutique brand with Side's compliance, transaction management, and tech back-office; agent-first model with higher commission retention.
Side is a San Francisco-based real estate brokerage platform that enables high-performing real estate agents and teams to operate as independent boutique brokerages with their own brands, websites, and marketing while leveraging Side's enterprise-grade back-office services — compliance, transaction management, technology, and licensing infrastructure. Rather than the traditional model where top agents work under a brokerage brand and split a significant portion of commission, Side's agent-first model allows agents to present themselves under their own brands and retain more of their earnings. Side handles all the regulatory, operational, and technology overhead of running a licensed brokerage, allowing agents to focus entirely on client relationships and transaction volume. The company is particularly attractive to top producers who have built strong personal brands but lack the resources or desire to manage brokerage operations. Founded in 2017, Side raised over $300M and reached a unicorn valuation in 2021, backed by investors including Sapphire Ventures and Trinity Ventures. It competes with eXp Realty and Real in the agent empowerment brokerage model.
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).
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