about
Ternium is a boutique AI consulting and solutions firm, with a razor sharp focus on helping venture and private equity backed startups across industries develop and deploy AI applications that solve some of the most pressing challenges today. We transform businesses and markets through AI roadmap audits, coaching, strategy, architecture, and delivery. The majority of our portfolio consists of pre-series C companies. We help companies at the early to mid stages of AI strategy development and execution, and continue to advise as needed throughout the company lifecycle. We are also connected to venture and private equity firms and can often help young companies with networking, pitch decks, and positioning.
Ternium partners with a global network of expert vendors with decades of product and software development experience, including designing and building complex data, analytics, IOT, and artificial intelligence systems across diverse industries such as Education, Entertainment, Healthcare, People-Ops, Workforce Development, Manufacturing, and more.
Our delivery model collaborates directly with C-suite leaders, product, and engineering teams to envision, prototype, build, and operate AI-managed workflows and customer-facing applications, that are intelligent, reliable, and scalable. We invite you to journey with us to your next stage of digital transformation.
Find an Expert
Ternium leverages a network of specialty partners who directly contribute to all engagements, engineering, and deliveries.
Specialty: Architecture
Steve Stalzer, Founder & CEO
Steve brings extensive experience building and leading complex, highly technical teams and platforms which build IP and grow company valuations, and require high degrees of scalability, reliability, availability, and security. He has contributed to both startups and enterprise companies as a CTO, VP of Engineering, and Head of Applied AI.
A "product technologist", Steve is passionate about collaborating on strategic direction and using AI to deliver disruptive solutions that differentiate products, solve difficult customer problems, and unlock new business opportunities.
At Ternium, Steve partners directly with founders, CEOs, and CTOs to build and deploy customer-facing AI agents that transform industries. He is fluent in data lake streaming topologies, Large Language and Multi-modal Models and Agentic frameworks, AI and ML training techniques, AI validation frameworks, graph databases, and much more.
Specialty: AI Engineering
Lee Accomando (GhostNote Studio)
Lee has spent 14+ years building products and leading technology teams at startups. He was CTO of Education Modified for over seven years, building a special education platform used by hundreds of schools and districts across the U.S. Before that he led engineering and product at Testive, which grew to serve more than 150,000 students.
Lately he helps startups and growing businesses put AI into production. That includes building agentic tutoring systems, AI-powered research and analysis tools, internal copilots that take manual work off busy teams, and modernizing legacy platforms. He's equally comfortable deep in the code, making critical architectural decisions, or running the project and engineering team, and he focuses on building the foundations that turn a promising prototype into a product teams can rely on.
Specialty: AI Product Leadership
Tom Bolton (MediaBahn)
Tom has spent 20+ years leading product at startups, primarily at seed and Series A companies including one exit. He has served as Head of Product, VP of Product, and CPO.
Tom works with internal stakeholders to understand the business opportunity, define the roadmap and use cases, understand how the AI will impact the user experience, and translate that into clear product direction for engineering teams. He works closely with AI engineers throughout delivery to make sure the technology stays connected to the user need and the business outcome.
Tom combines deep product experience with strong technical fluency and a practical understanding of AI. That allows him to understand the trade-offs behind technical decisions and help teams build products that are not only technically impressive, but also useful, viable, and likely to succeed for the client and its customers.