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Astradis™ Platform Overview

Teragonia's Astradis™ Platform equips private equity firms and their portfolio companies with real-time, function-specific intelligence to align teams, accelerate execution, and drive EBITDA growth.

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Featured Case Study

Real-Time Tariff Intelligence for Agile Global Operations

A global manufacturer modernized its tariff tracking process by implementing an AI-powered solution to provide real-time, audit-ready insights.

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Technology Services Terms and Conditions

Confidentiality Policy

1. Confidential Information Defined. “Confidential Information” includes, but is not limited to, any information, technical data, or know-how (including, but not limited to, information relating to research, products, software, services, quantity, price, pricing, delivery, development, inventions, processes, engineering, marketing, techniques, customers, internal procedures, business and marketing plans or strategies, finances, employees and business opportunities) concerning a party and its affiliates and disclosed by such party (the “Disclosing Party”) to the other party (the “Receiving Party”) either directly or indirectly in any form whatsoever (including, but not limited to, in writing, in machine readable or other tangible form, orally or visually): (i) that has been marked as “confidential” or “proprietary” or with a similar legend; (ii) whose confidential nature has been made known by Disclosing Party, orally or in writing, to the Receiving Party concurrently with the disclosure of such information; or (iii) that, due to its character and nature, a reasonable person under like circumstances would treat as confidential. Any summaries, compilations or extracts of Confidential Information prepared by the Receiving Party will be deemed Confidential Information and will be subject to the terms of this Agreement.

2. Exceptions. Confidential Information will not include information that: (i) is or becomes publicly available other than through the Receiving Party or its Authorized Representatives (as defined in Section 3 below); (ii) is in the Receiving Party’s possession at the time of disclosure as shown by the Receiving Party’s files and records immediately prior to the time of disclosure; (iii) is acquired by the Receiving Party from a third party, who provides the information without breaching any express or implied obligations or duties to the Disclosing Party; (iv) is disclosed by the Receiving Party with the Disclosing Party’s prior written consent; or (v) is independently developed by the Receiving Party without reference to Confidential Information.

3. Level of Care. The Receiving Party will maintain the confidentiality of, and agrees to use the same care to prevent disclosure of, the Confidential Information as it employs to avoid disclosure, publication, or dissemination of its own information of a similar nature, but in no event less than a reasonable standard of care. The Receiving Party further agrees to use the Confidential Information only in connection with and in furtherance of the business transactions contemplated by this Agreement; provided, however, that any Customer Confidential Information retained in the individual or collective memories of Supplier employees who have had access to said Confidential Information pursuant to this Agreement may freely use such residual information subject to the obligation of nondisclosure as to the source of such residual information. The Receiving Party may disclose Confidential Information to its employees, directors, officers, affiliates, agents, subcontractors, attorneys, accountants, or professional advisors who have a need to have access to the Confidential Information in carrying out the business transactions contemplated by this Agreement (“Authorized Representatives”). The Receiving Party will inform its Authorized Representatives of the confidential nature of the Confidential Information and the applicability of this Agreement thereto and will obligate and direct its Authorized Representatives to maintain the confidentiality of the Confidential Information and otherwise to observe the terms of this Confidentiality Policy.

4. Ownership. All Confidential Information disclosed by the Disclosing Party will remain the property of the Disclosing Party, and except as otherwise provided in this Agreement, the Receiving Party does not acquire any license, right, title, or interest in such Confidential Information.

5. Compelled Disclosure. The Receiving Party may disclose the Disclosing Party’s Confidential Information if it is compelled by law or valid court order to do so as long as the Receiving Party gives the Disclosing Party prior notice of such compelled disclosure (to the extent legally permitted) and reasonable assistance, at the Disclosing Party’s cost, if the Disclosing Party wishes to contest the disclosure or seek a protective order or other appropriate remedy.

6. Termination. Upon the termination or expiration of this Agreement the Receiving Party, upon the written request of the Disclosing Party, will (except to the extent otherwise provided herein): (i) return to the Disclosing Party or destroy all of the Disclosing Party’s Confidential Information, including without limitation, all media, documents, data, and copies thereof in its possession containing the Confidential Information, without retaining any copy or summary thereof; and (ii) deliver to the Disclosing Party a certificate executed by an authorized officer of the Receiving Party certifying compliance with these requirements.

7. Remedies. The Receiving Party acknowledges that improper dissemination of Confidential Information may cause irreparable damage to the Disclosing Party and agrees that the Disclosing Party will have available to it, in addition to any other remedy provided by law, the right to apply for mandatory injunctive relief to enforce compliance by the Receiving Party with the provisions of this Agreement.

8. Nondisclosure Agreements. The terms and conditions of this Confidentiality Policy will supplement the terms and conditions of any nondisclosure or confidentiality agreements entered into between Supplier and Customer prior to the Effective Date (a “Prior NDA”), and the terms and conditions of this Confidentiality Policy will be interpreted, to the extent possible, to be consistent with the terms and conditions of any such nondisclosure or confidentiality agreement. In the event of a conflict between the terms and conditions of this Confidentiality Policy and those of a Prior NDA, the terms and conditions of such Prior NDA will control.

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.