Laccuna is a boutique AI consultancy that helps companies
build data and machine learning solutions.
Whether laying foundations or scaling peaks, we map your path to data clarity.
Data Foundation
Building modern data infrastructure, from databases to cataloged data lakes.
Business Intelligence
Strategic decision-support via personalized, interactive data analytics.
Predictive Analytics
State-of-the-art, bespoke AI/ML solutions focused on providing value.
Automation
Cutting-edge automation, combining data engineering with data science.
Insights that drive success.
Clients Worldwide
Trusted globally, we deliver data solutions that innovate and excel.Projects Delivered
Deployed over fifty turnkey projects, beating the odds of successful data initiatives.Industries Served
From healthcare to finance, our reach spans across vital sectors, adapting to unique challenges and amplifying industry-specific triumphs.Trusted by some of the most innovative companies in the world.
Learn more by getting in touch. Recent case studies, anonymized for confidentiality:
National Healthcare Provider
Missed appointments hits healthcare and other service providers' bottom line hard. For this company with over 200 clinics and thousands of providers, they needed a way to fill in the gaps.
Impact: Created a machine learning model, predicting no-show appointments with up to 70% accuracy by combining internal (appointment data/history) and external (weather, seasonal events, etc.) data, significantly reducing their $3M+ missed slot revenue.
Impact: Created a machine learning model, predicting no-show appointments with up to 70% accuracy by combining internal (appointment data/history) and external (weather, seasonal events, etc.) data, significantly reducing their $3M+ missed slot revenue.
Ohio, USA
Marketing Agency
Managing campaigns for over 10,000 businesses was putting a strain on their analytics—both internally, and for their customers.
Impact: 50% reduction latency in PowerBI by optimizing Azure data pipeline; deployment of first ML model, integrated into their product, to optimize ad spend. Additionally created a model to predict the likelihood of winning back churned customers that feeds into their CRM.
Impact: 50% reduction latency in PowerBI by optimizing Azure data pipeline; deployment of first ML model, integrated into their product, to optimize ad spend. Additionally created a model to predict the likelihood of winning back churned customers that feeds into their CRM.
Colorado, USA
Equipment Manufacturer
The manufacturing equipment supply chain is complex, and this company needed a way to anticipate demand months in advance.
Impact: Deployed a demand forecasting model using ML/DL to predict inventory stress up to a year into the future.
Impact: Deployed a demand forecasting model using ML/DL to predict inventory stress up to a year into the future.
California, USA
Media Intelligence Provider
This media intelligence company required processing and analyzing enormous amounts of data; as well as a way to use it to predict social trends.
Impact: Created a number of cutting-edge machine learning and deep learning models to differentiate their services with unique, AI-powered/predictive products.
Impact: Created a number of cutting-edge machine learning and deep learning models to differentiate their services with unique, AI-powered/predictive products.
Virginia, USA
Gas Stations Chain
With hundreds of gas stations across the country, this company needed a way to understand their operations and data better.
Impact: Modernized their data infrastructure and created a number of automated business intelligence reports. Integrated a fuel price forecasting model to improve margins and optimize operations.
Impact: Modernized their data infrastructure and created a number of automated business intelligence reports. Integrated a fuel price forecasting model to improve margins and optimize operations.
Melbourne, Australia
Financial Lender
This mortgage bank was spending thousands of hours managing their data—consisting of hundreds of Excel files every week.
Impact: Automated their data pipeline, including an entire ETL overhaul; saved 1000+ hours per year on manual data processing; integrated structured data controls, including cataloging and versioning.
Impact: Automated their data pipeline, including an entire ETL overhaul; saved 1000+ hours per year on manual data processing; integrated structured data controls, including cataloging and versioning.
Ontario, Canada
Energy Regulator
Regulatory data is messy, inconsistent, and consequently difficult to derive meaningful information from.
Impact: Created several tools to automate data cleaning and report building, savings thousands of hours yearly on manual review processes.
Impact: Created several tools to automate data cleaning and report building, savings thousands of hours yearly on manual review processes.
Ontario, Canada