Case Studies

Real results that transform businesses

Measurable Impact

+50%

Average efficiency

Increase in productivity after implementing our solutions

$500K

Annual savings

Average reduction in operational costs for our clients

40%

Faster

Acceleration in project delivery time

A collage of diverse professionals working with technology.

Customer Stories

Logo for a generic law client
Law Firm

Working with their certified team has multiplied our productivity. The automatic contract analysis saves us 20 hours per week.

Maria Gonzalez, CTO of Lexia Legal

Contract Review Automation

Law firm with a high volume of complex contracts

Challenge

The firm managed over 500 contracts monthly, requiring exhaustive manual review that consumed 60% of junior lawyers' time.

Solution Implemented

  • NLP system for automatic clause analysis
  • Detection of risks and anomalies in contracts
  • Semantic search of relevant case law
  • Reporting and analytics dashboard

35%

More efficiency

-80%

Errors

$75K

Savings/year

Logo for a generic financial client
Financial Services

The accuracy of the new AI system exceeded our expectations. We have reduced false positives by 60%, improving the customer experience.

David Chen, Chief Risk Officer at Finova Bank

Fraud Detection Optimization

Financial institution with international presence

Challenge

The previous fraud detection system generated a high rate of false positives, resulting in unnecessary transaction blocks and customer complaints.

Solution Implemented

  • Machine Learning model for real-time transaction analysis
  • Integration with multiple data sources to enrich the risk profile
  • Early warning system for emerging fraud patterns
  • Platform for analysts to efficiently investigate cases

99.8%

Accuracy

-60%

False Positives

$1.2M

Savings/year

Logo for a generic retail client
Retail/Ecommerce

The implementation of the AI solution for demand forecasting has been transformative. We reduced excess stock and avoided stockouts on key products.

Laura Bianchi, Operations Manager at ModaGlobal

Demand Forecasting for Retail

Fashion retail chain with over 200 stores

Challenge

The company suffered from inaccuracies in demand forecasting, leading to excess inventory in some stores and stockouts in others, affecting sales.

Solution Implemented

  • Time series model with external variables (weather, events)
  • Inventory optimization at the store and SKU level
  • Automatic replenishment recommendations
  • Visualization of demand trends by region and product

+15%

Sales

-25%

Excess Stock

+95%

Availability

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