Modal provides a high-performance, serverless cloud platform that enables AI and data teams to run inference, training, batch processing, and sandboxes. The service allows developers to manage infrastructure and scale GPU and CPU resources directly through Python code.
Subscribe to see Modal’s full profile → the full roster, investors in every round, weekly hiring history and every corporate event
Modal is a cloud infrastructure company headquartered in United States. Xcout tracks 10 named people at Modal, including Hemant Taneja (CEO). Xcout recorded 25 job postings from Modal in the last 90 days.
4 more named people on record for Modal, with roles, board committees and tenure — see the full roster →
Xcout recorded 25 job postings from Modal in the last 90 days, from a hiring record Xcout has kept since June 2026.
The weekly hiring trend, the roles and locations behind it — see Modal's hiring signals →
A few of Modal's closest competitors — see the full list of competitors and alternatives →
RightNow (runinfra.ai) provides a platform that optimizes open-source AI models from Hugging Face for production environments. It benchmarks serving engines, matches models to appropriate GPUs, and offers model APIs or exportable deployment kits for self-hosting.
Railway is a software deployment platform designed for engineers, simplifying the deployment of applications and services. It functions as a full-stack cloud provider, offering automatic scaling, monitoring, and security for deploying web apps, servers, and databases.
Vast.ai provides a cloud-based GPU infrastructure platform that allows developers and AI teams to rent, deploy, and scale graphics processing units for machine learning workloads. The company offers API-native provisioning, serverless inference, and multi-node clusters across a distributed network of data centers. Its services serve developers, researchers, and enterprises building applications for AI training, fine-tuning, and rendering.
Luminal provides an AI inference platform that compiles artificial intelligence models ahead of time into optimized native code for GPUs, CPUs, and ASICs to eliminate runtime overhead. The company serves organizations seeking high-throughput, low-latency AI model deployment through both managed cloud serverless endpoints and on-premise infrastructure options.
Runpod is an AI Developer Cloud providing flexible GPU infrastructure for AI training, inference, and deployment workloads.
Nebius provides an AI-centric cloud platform engineered with custom hardware, non-virtualized GPUs, and scalable storage to help developers train and run machine learning models. The company serves AI developers, researchers, and enterprises across industries such as finance, healthcare, and robotics, offering infrastructure and MLOps tools for both model training and inference workloads.
Funding rounds, acquisitions, new executives, launches and expansions, each with a two-line summary and a link to the source. One short email a day, only when there is news.
Free: up to 5 companies, daily. Subscribers also follow whole sectors and saved filters (M&A in Israel, AI funding…), get instant alerts, in-app notifications and signed webhooks, and open the full profile behind every name. Subscribe →
Post the link and the card appears automatically — each network fetches the image itself.