AI AI Infrastructure Companies
Core infrastructure platforms for training, evaluating, deploying, and managing machine learning models and data pipelines at scale.
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AI Infrastructure Companies
Databricks
Unified analytics platform combining data engineering, data science, and machine learning on a single lakehouse architecture. Founded by the creators of Apache Spark, Databricks offers a Data Intelligence Platform with built-in governance, real-time streaming, and the open-source Unity Catalog. A critical infrastructure layer powering enterprise AI and one of the most valuable private tech companies globally.
Nebius
Builds and operates large-scale AI infrastructure and capacity, expanding rapidly after a $4.3B raise and announcing strategic deals with Nvidia and Meta.
Nscale
Full-stack AI cloud infrastructure provider operating renewable-energy-powered GPU data centers across Europe. Nscale offers on-demand access to large-scale NVIDIA GPU clusters for AI training and inference, with a focus on sustainable computing and European data sovereignty. Positioned as a key player in building sovereign AI infrastructure outside US hyperscalers.
Nebius Group NV
AI infrastructure and GPU cloud platform spun out of Yandex, providing scalable compute for AI training and inference workloads. Nebius operates large-scale GPU clusters in Europe and the US, offers a managed ML platform, and serves as a key alternative to hyperscaler clouds for AI startups and enterprises needing dedicated compute capacity at scale.
Scale AI
Data platform for AI, providing high-quality training data, model evaluation, and RLHF infrastructure for the world's leading AI labs. Scale AI's data engine powers frontier models from OpenAI, Meta, and government agencies. Also offers enterprise generative AI deployment and has become a critical supply-chain partner for the entire foundation model ecosystem.
Ineffable Intelligence
Ineffable Intelligence designs next-generation AI memory chips to overcome the memory bandwidth bottleneck limiting AI training and inference. As large language models demand ever more memory throughput, Ineffable's specialized memory architecture addresses a critical constraint that traditional DRAM and HBM solutions struggle to meet at scale.
Hugging Face
The AI community platform for sharing models, datasets, and machine learning apps. Hugging Face hosts over 500,000 open-source models and the Transformers library that has become the de facto standard for NLP and ML development. It provides model hosting, inference APIs, and collaborative tools that make it the GitHub of machine learning, central to the open-source AI ecosystem.
Eridu
AI networking infrastructure company building purpose-built network switches designed to eliminate the network bottleneck limiting AI performance at scale.
Starcloud
Building and operating data centers in space to provide alternative infrastructure for AI and cloud workloads via orbital deployments.
Upvest
Provides infrastructure and platform services for wealth‑tech firms across Europe, enabling digital wealth management and fintech integration.
Nominal
Data platform for hardware and aerospace engineering teams that organizes, visualizes, and analyzes complex test and flight data from physical systems.
Gimlet Labs
This startup focuses on addressing critical performance constraints in artificial intelligence by developing innovative solutions to eliminate the common inference bottleneck.
Qdrant
Open-source vector search engine built in Rust, providing fast and scalable similarity search infrastructure for production AI applications including RAG systems, AI agents, and recommendation engines.
Standard Template Labs
Provides AI infrastructure solutions and platform tooling to help teams deploy and operate machine learning systems, founded by veterans from Amazon, Meta, and Datadog.
Nimble
AI-powered web intelligence platform that deploys search agents to extract structured, real-time data from the internet for retail analytics, brand monitoring, and alternative data.
Lyzr AI
Enterprise agent production infrastructure platform for building and deploying AI agents across business functions including support, procurement, HR, and sales.
EPIC Microsystems
Designs and supplies hardware and systems to power AI data centers, providing infrastructure components for high-performance model training and inference.
Tracebit
Develops deception-based cybersecurity solutions to detect, misdirect and mitigate attackers targeting cloud infrastructure and workloads in European environments.
Hosted.ai
Provides software and tools to improve GPU efficiency and utilization for AI training and inference workloads, targeting infrastructure operators and cloud providers.
Niv-AI
Develops solutions to boost GPU power efficiency and raw performance for AI workloads, helping operators extract more compute from existing hardware.
Littlebird
Offers an AI-assisted 'recall' tool that reads users' computer screens to surface previously viewed content and on-screen context for faster information retrieval.
Tower
Berlin-based data engineering platform solving the "last mile" problem for AI data pipelines, enabling data teams to build, test, and deploy production-ready data transformations with built-in quality assurance.
AgentMail
Email inbox API built specifically for AI agents, giving autonomous systems their own email inboxes to send, receive, and manage email communications. Backed by Y Combinator.
Rhonexum
Develops cryogenic technology intended to enable scalable quantum computers and support next‑generation AI infrastructure and quantum hardware deployment.
Frequently Asked Questions
How many AI AI Infrastructure companies are tracked?
We currently track 24 companies in the AI Infrastructure sector, with a combined funding total of $24.4B.
Which AI Infrastructure company has raised the most funding?
Databricks leads the AI Infrastructure sector with $12.0B in total funding raised.
What is the average funding for AI Infrastructure startups?
The average total funding across AI Infrastructure companies in our database is $1.0B. This includes all stages from seed to late-stage rounds.