AI case study

Kleiner PerkinsCost modeling

Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.

Published|today

Key results

Time Savings
up to 6 hours
Data Source Used
1

Result highlights

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The story

Context

One of Silicon Valley's most storied venture capital firms relies on precise financial data to manage annual compensation reviews for its workforce.

Challenge

Building fully burdened cost models required manually stitching together data from four separate sources, including benefits invoices and offer...

Solution
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Quotes

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The company

Kleiner Perkins logo

Kleiner Perkins

kleinerperkins.com

Venture capital firm investing in early-stage and growth-stage technology companies.

IndustryFinancial Services
LocationMenlo Park, CA, USA
Employees51-250
Founded1972

The vendor

Rippling logo

Rippling

rippling.com

HR, payroll, and IT management platform for global workforce operations.

IndustrySoftware & Platforms
LocationSan Francisco, CA, USA
Employees1K-5K
Founded2016

Use case

Kleiner Perkins's Cost modeling is part of this use case:

Data Intelligence
58 case studies(+105% YoY)
Proven impact?
LowModerateVery Strong
3.9Moderate
4.0Moderatewithin Financial Services

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