Insurance
AI solutions for insurance
Boost profit and minimize risk with AI

Machine learning is transforming the insurance industry, streamlining risk assessment, claims processing, and customer service for a better insurance experience.

Learn how an insurance MGA optimized pricing with ML

Tribe worked with an insurance company to turn existing data into a custom pricing algorithm that drove a 12% lift across policies.
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Recent insurance projects

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Build automated pricing algorithm for insurance MGA

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Predict wildfire spread for reinsurance startup

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Build data sandbox for top 3 largest car insurers

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Advise insurance co with $3B revenue on Generative AI

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How Tribe can help

Risk assessment
Claims processing
Personalization
Customer service

Risk assessment and underwriting

Machine learning allows insurers to analyze vast amounts of data for more accurate risk assessments. Better pricing optimization and reduced losses mean higher profit margins..

Claims processing

Streamline your claims processing with machine learning automation. Quickly identify and handle claims with machine learning algorithms, which detect fraud more efficiently to reduce losses.

Personalization

Deliver personalized products and services to improve customer satisfaction and retention rates. With machine learning, insurance companies can tailor policy recommendations to each customer, reduce wait times, an.

Customer service

Machine learning allows insurers to analyze vast amounts of data for more accurate risk assessments. This can help you more accurately price your policies and identify areas where you may need to take additional precautions to minimize risk.
Work with the best talent in AI
AI researcher
Thomas
PREVIOUSLY:

AI researcher at Sony

PhD in computational physics

Privacy, Data science, Analytics
Full-stack Engineer
Pratik
PREVIOUSLY:

Lead engineer at FairPlay AI

Sr Engineer at Autodesk

System design, Data eng, APIs
Full-stack Engineer
Richard
PREVIOUSLY:

Engineer at RBC

ML scientist at Arterys medical

Neural networks, Data eng, Recommendations
ML Engineer
Helen
PREVIOUSLY:

Worked at Asana, Wikimedia, CertiK‍

1st DS hire at Deserve

Data science, Web3, AI Ethics
Senior ML Engineer
Adrian
PREVIOUSLY:

First employee at Weights & Biases,

Worked at Google

Data Science, NLP, Computer Vision

Trusted by top executives

Beyond the [12%] premium lift, going through this exercise [with Tribe] really affirmed for us how much more we can do with data and machine learning.
COO
Insurance MGA
[Working with Tribe] gave us insights on our book of business and uncovered more areas we can use data to make smarter decisions moving forward.
COO
PE-backed Insurance Company
Until now, no one has been able to account for the nonlinear events that cause a fire to get out of hand. Our approach does a better job predicting how all these factors come together to create these catastrophic level events.
Nat Manning, COO
Kettle
It’s very rare you meet people like Tribe engineers who have the technical skills to understand your data, turn it into something actionable, and also communicate the value to us as the business guys.
CIO
Insurance MGA

Driving innovation with AI

Applied AI

AI in Insurance: use cases, examples, and statistics

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Case Study

Kettle uses ML to balance risk in a changing client

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Applied AI

ML  Consulting: Case Studies and FAQs

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Case Study

Driving a 12% premium lift using ML

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