Data & AI Infrastructure for Private Equity
NVIDIA
NVIDIA supplies the GPUs and software stack that power most serious AI workloads, from training models to running inference at scale. For industrial and deep tech portfolio companies, NVIDIA is also a go-to for simulation, robotics, and digital twin use cases.
Databricks
Databricks unifies data engineering, analytics, and machine learning on one lakehouse, which fits the data sprawl many PE portfolio companies inherit at entry. Its Mosaic AI tools make it practical to move from data prep all the way to deployed AI apps.
Snowflake
Snowflake is a common landing zone when PE firms consolidate the warehouses of newly acquired companies into one secure cloud data platform. Cortex AI lets teams add generative capabilities directly on top of the data they already hold there.
Palantir
Palantir's Foundry and AIP platforms connect messy operational data into actionable dashboards and AI-powered decisions. PE firms use them to give portfolio companies a fast path from scattered systems to a single operating picture, with LLMs built in.
Hugging Face
Hugging Face is the hub for open source models, giving teams a huge catalog to pick from plus tools for fine-tuning and deployment. It is a favorite starting point for data teams at portfolio companies that want to ship AI features without depending on a single API provider.
Tableau (Salesforce)
Tableau remains a go-to for turning messy operational data into clear dashboards that operating partners and portfolio CEOs actually use. With Salesforce's AI features added on top, teams can move from visualizing data to asking questions of it in natural language.