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Top 50 Ai Compute Platform - Pre Seed
Discover the top 50 Ai Compute Platform startups at Pre Seed. Browse funding data, key metrics, and company insights. Average funding: $1M.
Showing 8 startups matching the selected criteria.
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Lilypad Network
Lilypad offers a platform for AI model deployment, distribution, and monetization, connecting model creators with compute providers. Their platform combines a model marketplace, MLOps tools, and a distributed compute network to simplify scaling AI inference across various applications. This allows AI model creators to generate revenue and compute providers to monetize their resources.
Funding: $1M+
Rough estimate of the amount of funding raised
SambaNova Systems
SambaNova Systems develops an enterprise-grade AI platform that integrates specialized hardware and software to efficiently deploy generative AI applications. This technology addresses the need for scalable, high-performance computing solutions that unlock valuable insights from complex data sets, enabling organizations to enhance operational efficiency and discover new revenue streams.
Funding: $1M+
Rough estimate of the amount of funding raised
Heurist Ai
Heurist AI provides serverless access to a decentralized network of open-source AI models, utilizing an Elastic Chain built with a ZK Stack for efficient smart contract execution. This platform enables users to leverage AI inference and training without the operational burdens of managing GPU servers, while also allowing community members to contribute compute power and earn tokens.
Funding: $2M+
Rough estimate of the amount of funding raised
Planck
DePIN is a decentralized compute network that utilizes the processing power of millions of smartphones, desktops, and data centers to provide low-cost AI processing. This infrastructure enables companies to scale their AI applications efficiently without incurring high computational costs.
Funding: $500K+
Rough estimate of the amount of funding raised
NetBook
The startup provides a platform for managing machine learning compute infrastructure across multi-cloud and hybrid cloud environments. This solution addresses the complexity of resource allocation and orchestration, enabling organizations to optimize their ML workloads and reduce operational costs.
Funding: $500K+
Rough estimate of the amount of funding raised
Inferex
Inferex provides a cloud infrastructure tailored for the deployment and scaling of artificial intelligence applications, enabling businesses to integrate AI models into their workflows efficiently. The platform addresses the high computational demands and complex data management associated with AI workloads, allowing for rapid model deployment and reliable execution.
Funding: $1M+
Rough estimate of the amount of funding raised
Infinite-Compute
Infinite-Compute offers a cloud-based platform that provides on-demand access to AI/ML tools and 3D development resources, enabling users to design, develop, and deploy solutions without upfront commitments. This service addresses the challenge of high computational costs and resource limitations by allowing users to pay only for the computing power they need, facilitating rapid innovation in AI and 3D applications.
Funding: $500K+
Rough estimate of the amount of funding raised
TensorDock
TensorDock is a marketplace that provides access to high-performance GPU and CPU cloud services optimized for AI, deep learning, and rendering. The platform offers cost-effective compute resources, enabling users to scale their workloads efficiently.
Funding: $100K+
Rough estimate of the amount of funding raised