AI
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New York based AI infrastructure startups that raised a Series B
Explore a structured public preview of AI infrastructure startups in New York that raised a Series B, generated from Canonical’s company search criteria.
Top 10 results
Export| Company | Domain | Description | HQ Location |
|---|---|---|---|
Modal
|
modal.com | Modal provides a developer-centric AI infrastructure platform that simplifies the deployment and scaling of machine learning models and AI applications. It focuses on delivering exceptional performance with features like sub-second cold starts and instant autoscaling, aiming to offer a seamless experience for AI | New York, New York, United States |
Pinecone
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pinecone.io | Pinecone is a leading provider of a purpose-built, fully managed vector database designed for AI applications at scale. It enables businesses to efficiently store, search, and manage vector embeddings, powering advanced features like semantic search, recommendation engines, and generative AI. | New York, New York, United States |
Livepeer
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livepeer.org | Livepeer is a decentralized video infrastructure platform that leverages generative AI to transform live camera input into animated prompts in real-time. It empowers creators, developers, and businesses to innovate in live video streaming and AI-powered content creation. | New York, New York, United States |
Comet
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comet.com | Comet provides a comprehensive platform for Machine Learning Operations (MLOps), enabling teams to manage experiments, artifacts, models, and production monitoring. Their mission is to empower organizations in building the future of AI Agents and Applications. | New York, New York, United States |
Arthur
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arthur.ai | Arthur provides a full lifecycle platform for evaluating and deploying AI systems, enabling enterprise AI teams to ship reliable AI agents faster. The platform offers built-in guardrails and model-agnostic support to ensure secure and robust AI applications. | New York, New York, United States |
Bria
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bria.ai | Bria provides a Visual Generative AI platform for developers, enabling them to build AI models and applications. Their platform focuses on speed, control, and safety, utilizing 100% licensed data for training. Bria aims to empower businesses to leverage Visual Gen AI for commercial applications. | New York, New York, United States |
Morty
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morty.com | Morty provides an all-in-one mortgage technology platform designed to empower mortgage businesses. Their solution aims to streamline operations, reduce costs, and accelerate the loan origination process for businesses of all sizes. | New York, New York, United States |
Rivery
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rivery.io | Rivery provides a no-code/low-code platform for building and managing end-to-end ELT data pipelines. Their solution aims to accelerate data delivery and empower data leaders, engineers, and analysts to gain control and visibility over their data for AI and analytics initiatives. | New York, New York, United States |
Code Ocean
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codeocean.com | Code Ocean provides a cloud-based computational science platform designed to accelerate research and development in life sciences and other data-intensive fields. It enables scientists to package, share, and run their code, data, and environments, ensuring reproducibility and collaboration. | New York, New York, United States |
Packet
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packet.com | Equinix Metal offers on-demand bare metal servers and network infrastructure via a B2B SaaS model with consumption-based pricing, serving developers, DevOps engineers, and enterprises globally who require high-performance, low-latency computing. They leverage Equinix's extensive data center footprint and provide API-driven infrastructure management for automated provisioning and predictable pricing of compute, network, and storage resources. This allows customers to access scalable and reliable infrastructure integrated with the broader Equinix ecosystem. | New York, New York, United States |
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This page helps teams browse a focused company set for AI infrastructure discovery.
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Canonical interprets the natural-language query into structured criteria such as industry, location, size, founding year, and business model.
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