Use Cases

Tailored AI Solutions for Every Strategic Challenge

Use Cases

Achieve revenue growth, business model transformation, and operational efficiency​.

Tailored AI Solutions for Every Strategic Challenge

Using AI-powered analytics for Growth, M&A, technology adoption and sustainability strategy​, Espalier enables Environmental Services Companies, Waste Generators, Private Equity firms, Investment Banks, and Data Product firms achieve revenue growth, business model transformation, and operational efficiency​.

Environmental Service Companies​

Revenue : Identify qualified sales leads, quantify opportunity, and predict conversion​​
M&A : Refine M&A thesis, identify proprietary targets, and conduct due diligence​​
ESG : Benchmark ESG performance and identify interventions​​
Waste management technology : Select the right technology and partners​​
Digital transformation : Select the right technology and partners

Waste Generators

Benchmark performance and identify interventions
Select environmental services companies

Private Equity

Develop and refine M&A thesis
Identify proprietary transactions
M&A financial case
Conduct due diligence on the Revenue, Business Model, and Technology parameters to arrive at a robust
Develop value-creation plans by revenue and multiples expansion
Increase M&A transactions

Investment Banks

Develop thematic M&A origination programs
Originate proprietary M&A transactions
Accelerate execution of M&A projects
Develop thought leadership content

Data Providers

Enhance products by adding new data
Machine-enable the data management process

Revenue : Identify qualified sales leads, quantify opportunity, and predict conversion​​
M&A : Refine M&A thesis, identify proprietary targets, and conduct due diligence​​
ESG : Benchmark ESG performance and identify interventions​​
Waste management technology : Select the right technology and partners​​
Digital transformation : Select the right technology and partners

Benchmark performance and identify interventions
Select environmental services companies

Develop and refine M&A thesis
Identify proprietary transactions
M&A financial case
Conduct due diligence on the Revenue, Business Model, and Technology parameters to arrive at a robust
Develop value-creation plans by revenue and multiples expansion
Increase M&A transactions

Develop thematic M&A origination programs
Originate proprietary M&A transactions
Accelerate execution of M&A projects
Develop thought leadership content

Enhance products by adding new data
Machine-enable the data management process

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