Bold Security vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI endpoint security running ML models locally on devices; $40M raised (March 2026); reduces alerts 90%. Tel Aviv-based; founded 2024; Fortune 500 clients; edge-native architecture eliminates cloud latency for real-time threat response.
About
Bold Security is a Tel Aviv-based cybersecurity company founded in 2024 to reimagine endpoint protection using on-device AI. Rather than routing threat detection through cloud infrastructure, Bold's technology runs machine learning models locally on each device, enabling real-time threat response without latency or data exfiltration risks. This edge-native architecture is especially relevant for enterprises with strict data residency requirements or air-gapped environments.\n\nThe Bold platform targets enterprise security operations teams overwhelmed by alert fatigue. By running AI inference on-device, it filters and correlates endpoint signals before they reach the SOC, reducing alert volume by up to 90%. This dramatically cuts analyst workload and accelerates mean time to response. The company's Fortune 500 client base underscores its ability to meet the security, scalability, and integration demands of large organizations.\n\nFounded in 2024 and already serving Fortune 500 clients, Bold Security raised $40M in March 2026 — a significant financing round for a two-year-old company that reflects strong market pull for its on-device AI approach. As enterprises grapple with increasingly sophisticated endpoint threats and tighter privacy regulations, Bold's architecture offers a compelling alternative to cloud-dependent EDR platforms, positioning it as a fast-rising challenger in the $20B+ endpoint security market.
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.