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
Active
Automate pricing for PE-backed insurance MGA
+2
Active
Source new deals using ML-driven toolkit for top PE firm
+2
Active
Act as due diligence partners to determine value of data
+3
Active
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
Daniel
Data Science Researcher
Postdoc researcher at Princeton
Research at Microsoft Research
Thomas
AI researcher
AI researcher at Sony
PhD in computational physics
Jeff
AI Researcher
AI and research at Meta,
Allen AI, and Palantir
Doug
CTO
VP of Eng at Carta
Head of Eng at Nova
Kineret
Senior Data Scientist
Data at Google
Launched Apple card at Apple
Erik
ML Engineer
Deep Learning Scientist at Ravel Biotech
Researcher at Harvard Medical School
Jorg
ML and Software Engineer
Worked for Google Brain
and Facebook AI Research
Oana
ML Engineer
ML Engineer at Meta
Co-founder Habiter (YC S20)
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
A Deep Dive into ML Consulting: case studies & FAQs
Podcast
Stackoverflow: ML and AI consulting-as-a-service (ep. 541)
