Private equity
AI solutions for private equity
Drive success at every stage of the deal pipeline

Tribe can help you leverage machine learning to identify potential investment opportunities, enhance due diligence, and support portfolio companies.

Learn how Tribe built an investment engine using public data for a PE firm

A leading PE firm came to Tribe with a specific challenge: to build an ML-driven toolkit that would give them unique insights into one particular vertical of interest using only publicly available data.

Recent private equity projects


Automate pricing for PE-backed insurance MGA

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Source new deals using  ML-driven toolkit for top PE firm

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Act as due diligence partners to determine value of data

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Advise on Generative AI adoption across portfolio

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How Tribe can help

Deal sourcing

Machine learning algorithms can analyze large amounts of public and proprietary data to surface potential investments. This optimizes analysts time and gives teams unique insights into the market.

Due diligence

Streamline the due diligence process by bringing in experts to evaluate technical data, analyze post-investment opportunities, and use ML-powered investment hypotheses to move quickly and confidently in a crowded market.

Portfolio management

Support portfolio companies by using data-driven analytics to inform forecasting, implementing dynamic algorithms based on user behavior to optimize pricing, and automating highly manual processes to streamline operations and drive value.

Risk management

Data analysis can  identify patterns and trends that may indicate potential risks in your portfolio or potential investments and allow for prompt action to mitigate them.
Work with the best talent in AI
New Jersey
Data Science Researcher

Postdoc researcher at Princeton

Research at Microsoft Research

Quant research, Software tech, Logistics
AI researcher

AI researcher at Sony

PhD in computational physics

Privacy, Data science, Analytics
San Francisco
AI Researcher

AI and research at Meta,
Allen AI, and Palantir

CV, NLP, ML Engineer

VP of Eng at Carta

Head of Eng at Nova

Blockchain, Fintech, Advisor
San Francisco
Senior Data Scientist

Data at Google

Launched Apple card at Apple

Data infra, Deep learning
Bay Area
ML Engineer

Deep Learning Scientist at Ravel Biotech

Researcher at Harvard Medical School

LLMs, Genomics, Reinforcement learning
New York, NY
ML and Software Engineer

Worked for Google Brain

and Facebook AI Research

Neural Networks, Computer Vision, Transformers
San Francisco
ML Engineer

ML Engineer at Meta

Co-founder Habiter (YC S20)

NLP, LLM, Neural networks, Deep learning
Going through this exercise really affirmed for us how much more we can do with data and machine learning. It gave us insights on our book of business and uncovered more areas we can use data to make smarter decisions moving forward.
If you’re going to win, then you have to win on speed and price. And the only way you’re going to get there is if you have the benefit of the conviction that a tool like this can give you.”

Driving innovation with AI

Case Study

How Tribe drove a 12% premium lift for PE-backed insurance company

Case Study

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