Unlock Value Creation Opportunities with Industry Agnostic Innovation

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Construction

By analyzing historical project data, construction companies (builders, HVAC, Plumbing, etc.) can predict potential delays, cost overruns, and resource shortages. This helps in creating more accurate schedules and timelines, optimize resource allocation, assess risks, and so much more.

Education

Advanced data analytics can play a transformative role in the education sector, helping institutions improve student outcomes, personalize learning, predict student performance and success, optimize curriculum and student engagement, improve student retention, and enhance overall institutional performance. 

Finance

Analytics engineering and advanced AI platforms offer significant advantages to the financial sector–especially Private Equity (PE) firms–by providing deeper insights into investment opportunities, optimizing portfolio management, improving operational efficiency, and driving better decision-making. 

Manufacturing & Industrial

Data engineering and advanced analytics are increasingly pivotal in helping manufacturing and industrial companies enhance operational efficiency, optimize processes, and drive innovation. By leveraging large datasets from diverse sources, these technologies enable manufacturers to gain deeper insights into their operations, reduce costs, and improve decision-making. 

Retail

Retail and consumer-focused businesses can improve their operations, enhance customer experiences, and drive profitability. By leveraging large amounts of data from multiple sources (e.g., transactions, customer interactions, social media, and inventory systems), retail companies can unlock actionable insights that influence decision-making, optimize processes, and create a competitive edge.

Technology

The combination of data engineering, machine learning, and predictive analytics empowers tech companies to stay competitive, innovate faster, and make better, data-driven decisions. Advanced analytics and AI can significantly enhance the performance and capabilities of tech companies by enabling them to leverage data more effectively, streamline operations, improve product development, and create new business opportunities. 

Foundational Tech Infrastructure

Our core analytics and AI platform drives informed decision-making with enhanced clarity and focus, and rapidly unlocks enterprise value

Core Features:

Connect All Your Data Sources

Integrate data from multiple source systems effortlessly

Critical for breaking down silos and creating a unified view

One Trusted Data Source

A secure, centralized cloud hub for all your data insights

Foundational for reliable decision-making and enterprise-wide alignment

Interactive Dashboards

Visualize complex data through easy-to-understand dashboards

Empowers leaders with actionable insights

Enriched Data Flow, Fully Automated

Reverse ETL capabilities enriches your data and ensures your data flows exactly where it is needed for function teams to act on

Enables real-time, action-oriented data flow 

Additional AI capabilities are actively in development

Your Data Should Drive Real Results

Are you unlocking the full potential of your data?

Scott Briggs

BS International Business | American University of Paris

BS Computer Science | American University of Paris

Seasoned DevOps and infrastructure engineer with expertise in AWS, Kubernetes, and Terraform; led cloud migrations and scalable infrastructure projects at Sfara, FanDuel, and Kickstarter.

With over 15 years of experience in small and medium-sized startups, Scott is a seasoned expert in designing, optimizing, and maintaining robust, scalable, and secure infrastructure. He specializes in automation and embedding security from the ground up, consistently delivering reliable systems tailored to meet dynamic business requirements.

Prior to joining Teragonia, Scott made a significant impact at Sfara, where he built the company’s entire infrastructure from scratch. He engineered systems capable of supporting hundreds of thousands of users with seamless scalability, implemented automated development pipelines, and introduced observability tools to monitor and manage resources effectively. Additionally, Scott led the infrastructure team in achieving ISO27001 security certification, ensuring security was integrated into every aspect of the system and transforming it into a critical asset for business-to-business operations.

Beyond his technical expertise, Scott has a proven track record of managing and mentoring high-performing teams. As a Senior DevOps Engineer at FanDuel, he gained invaluable experience in scaling infrastructure and optimizing resources to support millions of daily users, aligning technological capabilities with organizational goals.

Jack Amedio

Master’s in Human Resources | University of Illinois

Bachelor’s in Management | Loyola University

Former Financial and Operations Manager at Houlihan Lokey, Golin Harris, and MSL Group.

Jack is a highly driven, cross functional professional with extensive experience in operations and administration. 

Prior to joining Teragonia, Jack held financial and facilities management roles for Houlihan Lokey, MSL Group/Publicis, and Golin Harris in which managed and created processes and trainings for multiple functional areas ensuring operational and administrative procedures were well planned, efficient, cost-effective, and aligned with business objectives while ensuring initiatives, internal events as well as client events propelled employee and client engagement.

Jack holds undergraduate degrees from University of Illinois and Loyola University Chicago and has completed graduate certificates in Business Administration, Strategic Human Resources, and Operations at Cornell, CUNY-Buffalo, and University of Illinois and is in the process of completing a Master’s in Human Resources at Loyola University Chicago’s Quinlan School of Business.

Mason Taylor

MS Analytics | Georgia Institute of Technology

BS Management Information Systems | Oklahoma State University

Former analytics engineer at Cyderes and ConocoPhillips with a Master’s in Analytics from Georgia Institute of Technology and a Bachelor’s in Management Information Systems from Oklahoma State University

Mason is an Analytics Engineer with deep experience in data analytics, business intelligence, machine learning, and cybersecurity. He brings a proven track record of leading analytics engagements spanning architecture, insights, visualizations, and delivery.

Before joining Teragonia, Mason was a Senior Analytics Engineer at Cybersecurity MSSP CYDERES where he built a scalable, standardized, and secure analytics architecture for over 300 clients across many industries and consulted with them to deliver insights through bespoke data driven solutions. In addition, he managed the data delivery of the insight platform leveraged by the Security Operations Center to respond to incidents in a timely and effective manner.

Prior to joining CYDERES, Mason worked in ConocoPhillips’ Analytics and Innovation Center of Excellence holding varied roles within the Data Analytics organization from Data Engineering, to Business Intelligence, and Data Science. He delivered robust data solutions in all operating units for various functions including Engineering and Production, Finance, IT, and more. Including projects to standardize cost and production data across operating units. 

Mason started his career at The Williams Companies in cybersecurity and transitioned to cybersecurity at ConocoPhillips where he found his passion for Data Analytics through SIEM management, detection engineering, and threat intelligence.

Grace Sun

Bachelor’s in Finance & Accounting | Georgetown University

Former analytics engineer at Houlihan Lokey and financial analytics at JP Morgan Chase with a Bachelor’s in Finance & Accounting at Georgetown University

Grace is a seasoned analytics engineer with specialized expertise in crafting and implementing analytics solutions that drive agile, informed executive decisions in M&A and value creation for private equity-backed companies.

Before joining Teragonia, Grace was a part of the data science and business analytics team at Houlihan Lokey. She has excelled in harmonizing, enriching, and analyzing data from diverse sources, providing key insights that enabled private equity investors and portfolio company executives to make rapid, data-driven decisions across the investment lifecycle. She has developed novel analytics solutions, including deal sourcing and evaluation tools for platform investments that employ a buy-and-build or de novo growth strategy, as well as post-close value creation and KPI reporting tools for operators and management teams.

Grace has also worked at JPMorgan Chase & Co. in the Global Finance and Business Management rotational program, where she built analytics solutions to evaluate banker attrition and KPI reporting within the Global Private Bank.