Teragonia Launches Astra Labs to Move Enterprises from Stalled AI Pilots to Proven Value in Weeks
New business unit of Teragonia takes companies from AI ideation to a prioritized build plan and proven value in weeks, delivering systems that run on their infrastructure and are theirs from day one.
CHICAGO, Oct. 6, 2026 — Teragonia today announced the launch of Astra Labs, a new business unit that brings applied AI to complex enterprise problems and workflows. Astra Labs deploys directly inside every client’s environment and moves fast from the first conversation to AI running in production.
Where most AI work is sold by the hour and judged by the pilot, Astra Labs is grounded in Teragonia’s core mission, speed to value at private equity velocity and discipline, with every engagement priced as a fixed fee and held to a guaranteed outcome.
Enterprise AI investment has never been higher. Large U.S. companies plan to spend an average of $200 million on AI over the next 12 months (KPMG), and a single custom AI build runs $750,000 to $1 million, according to Gartner. Yet, nearly half of AI proofs of concept are scrapped before they ever reach production due to significant hurdles related to data readiness, accuracy, confidence, budget constraints, and risk management (S&P Global).
Astra Labs is built to change that outcome.
“Every PE and enterprise leadership team we talk to has already invested in AI. What they want is AI that changes how the business runs, and they need it immediately, not 18 months from now,” said Thomas Thayyil Thomas, CEO and Founder of Teragonia. “Our team has worked on over 1,000 M&A transactions worth more than $500 billion, so we know where the efficiency is bottlenecked or cost is bloated inside a business, and what work is worth automating first. Astra Labs puts that judgment to work and delivers AI into production at unprecedented speed.”
Value delivered in weeks
Astra Labs starts inside the business from day one, identifying the workflows worth automating and what each is worth. Next, the team builds a prototype and places an AI workflow in production within weeks. Every engagement carries a fixed fee based on a clear scope with well-defined success criteria. Results are measured against pre-existing workflows or automation of manual tasks, with outcomes guaranteed.
Built inside the client’s environment
Astra Labs builds inside the client’s own infrastructure and data, alongside their teams, so AI works on the client’s most valuable information without giving up control.
Owned by the client
Every Astra Labs build is owned by the client, so the capability stays and scales inside the business after delivery.
“The companies with the most to gain from AI are often the ones whose data can’t go anywhere,” said Dr. Sai Mali Ananthanarayanan, Chief AI Officer and Co-Founder of Teragonia. “Therefore, we build inside their walls, with their people, and when we’re done, it’s theirs to keep.”
How Astra Labs works
Astra Labs launches with a focus on financial services and healthcare, with initial work in financial crime, contract intelligence, proposal generation, SOP writing, pricing, scheduling and revenue cycle management. The team partners with CFOs, operations leaders, and revenue leaders at public companies, large health systems, and PE-backed enterprises.
Availability
Astra Labs is available now. To start a conversation or schedule an assessment to see if your project is the right fit, email info@teragonia.com
About Teragonia
Teragonia’s mission is speed to value at PE velocity. Teragonia turns private equity value creation playbooks into agents that drive the operating rhythm of mid-market businesses within commercial, operations and finance functions. Its team pairs operators who have spent their careers inside private equity, as investors, management teams, and M&A advisors, with AI and ML engineers who have built production systems at Morgan Stanley, GE Research, Barclays, Deloitte, and PwC. Together they have worked across more than 1,000 transactions worth over $500 billion. teragonia.com
Media contact
Chelsey Krull
press@teragonia.com
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
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.