WE BUILD AI DECISION ENGINES
to help grow your revenue
In today’s market, data intelligence is an increasingly important aspect of revenue growth, and the ability to leverage data smartly is key to achieving and maintaining a competitive edge.
Machine Learning + AI
You know your data holds potential, but you don’t know how to access it. Our dedicated team of data scientists can help plan, build, and test solutions to solve your big data-related problems within a compact and efficient timeframe
Your business needs custom machine learning or artificial intelligence tools and you need an experienced team to get it done right. We can work with you to build custom visualizations, recommendation engines, and AI tools to help your business reach its next breakthrough
Your organization needs to increase its data intelligence to solve important problems. Whether it’s working with your existing tools and reports, generating predictive models, we can work with you to advise your business on the best course of action using your own user and client data
Increase your organization's IQ
Today’s most intelligent companies know that leveraging their data to grow revenue is crucial to success in the current market, and addedIQ® understands the hurdles that many organizations face in adopting a comprehensive program when it comes to data science, AI, and machine learning.
Our human-centered approach sets us apart in that we are able to distinctly understand your organization’s unique needs and questions at a high level and present our findings in our clear, real time data-informed dashboard, Clarity+® . This powerful dashboard combined with our consultancy support will allow your business to seamlessly boost your team's data intelligence and increase your revenue.
Clarity+ is our unique, highly intuitive client dashboard that will provide your organization with the tools to visualize, segment, and uncover insights from your existing data. Designed to augment your business’ intelligence, Clarity+ works seamlessly and in real time with your existing systems and databases. Unlike other analytics tools, Clarity+ isn’t just for data scientists. It’s built for executives, business owners, venture capitalists, and others who may have big-revenue driving questions but limited experience with the intricacies of data science.
Examples of Our Products at Work
Large Electricity Generator and Retailer
The Challenge: Electricity traders needed assistance for better purchases of electric capacity across multiple generation plans and a multi-node distribution network against the backdrop of their competitors as well as factors such as weather.
Our Solution: We developed an artificial intelligence driven trading algorithms and platform that rapidly factors in a variety of new data and variables to recommend optimal trading strategies. In addition, we developed a data-science driven roadmap to guide management in additional added-value development to maintain a competitive advantage in this field.
The Results: Management saw the potential of this technology to greatly enhance their business process and has begun development to integrate this capability into their energy trading platform. Early tests of addedIQ’s algorithms and forecast model for the markets as a complement have shown a 5-10% improvement in price prediction relative to the model currently in use.
Large Multi-family Software Company
The Challenge: Management was unable to accurately consolidate key performance indicators that measure sales and their implementations for their business after years of company acquisitions that resulted in multiple data stores in a variety of formats.
Our Solution: We created a framework that standardized the definition and path from initial sale to implementation for multiple business units and products. As part of this engagement, we developed an automated transformation layer that ingested data from a wide variety of sources, resulting in standardized metrics for their business. This transformation and calculation capability utilized advanced statistical techniques to harmonize the data, making it available for deeper analysis.
The Results: Management now has a clear vision into the state of their sales to implementation path at any point in time for those business units and now has metrics that can be relied on for reporting and planning. The success of this project has resulted in our continuation of work for this client to add additional business units and metrics on the developed platform.
Established Neurological Sleep Center Clinics
The Challenge: Management had a sales and geographic growth mandate arising from a recent investment by a private equity firm. They sought a more informed strategy for growth into new markets, as well as understanding the potential within their own existing markets. In addition, they sought guidance on the optimal deployment of sales representatives within a market to achieve that growth.
Our Solution: Utilizing their existing enterprise data, which included sales data, representative utilization data, third party medical data, demographic data, as well as competitor data, we worked with them to develop a statistical and algorithmic approach that estimated the potential revenue value for the major markets throughout the United States. In addition, we developed models that optimized the number of sales reps needed to realize that market potential in any major markets.
The Results: The models developed were incorporated into their SalesForce instance, allowing management to visualize and develop their strategy for growth into new markets as well as understand how to better realize revenue in existing markets through an optimized sales representative placement. The models developed continue to be integrated into their business process allowing management to consider multiple scenarios as needed for planning.
Major Eyewear Retailer
The Challenge: Management had a sales and geographic growth mandate arising from a recent investment by a private equity firm. However, Management did not have an analytic discipline to provide informed decisions with respect to understanding their customer, store selection and optimal advertising mix to reach that customer.
Our Solution: Successfully implemented consumer analytics capabilities including customer segmentation and store location recommendation models. Starting with no analytics team and minimal data reporting, addedIQ succeeded in advising this client on the development of a data-driven marketing and store selection capability
The Results: Models developed help Management better understand their customers and the optimal way to reach that customer resulting in significant ad expenditure decrease while increasing the reach to their customers. Additionally, developed models assisted significantly in
A more informed store selection and an optimized marketing expenditure mix
With a legacy of executive leadership experience and extensive, cross-industry successes using data to solve complex marketing challenges, we have the unique ability to provide analytical innovations for any business need.
Martin Zacarias | Co-Founder
Martin has vast experience as a technology start-up executive. Prior to Added IQ, he launched the tech company, 10K Wizard, where his leadership led to successful acquisition by Morningstar. He also brings deep knowledge and years of experience in technology development and implementation, finance, general management, sales, and marketing.
Martin holds a BA in Computer Science and English from Rice University and an MBA from the Harvard Graduate School of Business.
Paul Ingram | Co-Founder
Paul brings deep technical expertise, company leadership experience, and creative thinking to the development and implementation of data science models and systems. He has extensive experience using data to solve difficult marketing challenges, and his analysis has led to significant return on investment for clients in retail, technology, and marketing. Paul holds masters degrees in Economics and Statistics from the University of Texas at Dallas.
George Baltakys | Software Engineering Manager
George is a software engineer with extensive full stack development experience. He also brings an analytical mindset when it comes to developing comprehensive and clear data visualizations with high levels of interactivity and low latency. He has studied Information Systems at Stony Brook University, and holds a Software Engineering Certification.
Bryan Bailey | Director of Business Development
Bryan has vast expertise in project management and ensuring client success in tech and and in data analytics. At addedIQ, his primary focus centers around strategic partnerships and lead generation, however his analytic and data-science driven skill set allows him to oversee all aspects of the company and ensure optimum efficiency and productivity. He holds a BS in Geosciences from the University of Texas at Dallas.
Richard Hachar | Data Scientist
Richard is a quant with a passion for using big data to unlock value. Richard holds an MS in Quantitative Finance from the University of Texas at Dallas and has experience in advanced analytical algorithm development, machine learning, and deployment into software. Richard’s specialties include computer vision, reinforcement learning, and time series forecasting.
Gunnar Johnson | Software Developer
Andres Ramirez | Software Engineer
Andres has expertise in distributed computing, cloud computing, high performance computing, linear algebra optimization, and full stack development. He holds a Bachelor of Arts from Hendrix College with a major in Computer Science and minor in Mathematics along with a Master of Science in Computer Science from Texas A&M University-Corpus Christi with a specialty in high performance computing, hyperspectral imaging and computer vision.
Xlegic Sin'Austin | Data Analyst
Xlegic brings highly focused data science and analytics skills in Python, machine learning, and visualization-- tools. He holds a certification from General Assembly’s Data Science Immersive (DSI) training program and has a particular interest developing efficient models and pipelines.