Vermont-based technologists, security specialists, AI engineers, and business strategists — united by one mission: making private AI work for real businesses.
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Vermont entrepreneur and cybersecurity veteran. As Head of Cybersecurity at a fast-growing SaaS company, Tim saw firsthand how public AI tools created serious data risks for businesses. He founded VAS to solve that problem — building an AI company that puts security and privacy at the center of everything.
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Operations and client success leader who ensures every VAS engagement delivers measurable results. Adie oversees delivery, staff training programs, and client relationships — and is the reason VAS's employee adoption rates are consistently above 90%. Her approach: no deployment is done until the team actually loves using it.
15 years building enterprise AI and data infrastructure. Former senior engineer at a Boston-based AI research lab. Daniel leads the technical architecture behind every VAS deployment — ensuring systems are both genuinely intelligent and provably secure.
12 years in enterprise technology sales and go-to-market strategy. Previously led sales at two SaaS companies through rapid growth phases. Victoria oversees VAS's business development and client acquisition — her philosophy: never sell what you can't deliver.
28 years in enterprise cybersecurity. Former CISO at a Fortune 500 financial services firm and two government defense contractors. Robert architected the zero-trust security framework that underpins every VAS deployment. His rule: if there's any path for client data to reach a public system, it doesn't ship.
24 years in network security and penetration testing. Spent a decade at the NSA and later led red team operations at a major defense contractor. Gerald conducts threat modeling on every VAS deployment — his job is to find every possible way a system could be compromised before it ever goes live.
Specializes in AI-specific threat vectors — prompt injection, model exfiltration, data poisoning, and adversarial attacks. CISSP certified with 8 years in enterprise security. Ashley ensures every AI model VAS deploys is hardened against the attack surface that most AI vendors don't even think about.
20 years in regulatory compliance across healthcare, finance, and defense. Thomas ensures every VAS deployment meets the specific compliance requirements of the client's industry — HIPAA, SOC 2, NIST, CMMC. If there's a framework, he knows it cold.
Specializes in fine-tuning large language models on proprietary enterprise data. Former AI research engineer with experience at leading AI labs. Sophie leads the model training pipeline — ensuring every client's AI knows their business deeply, not just generically.
7 years building production ML systems in air-gapped and on-premise environments. MS in Machine Learning. Jennifer specializes in deploying AI models where most vendors say it can't be done — fully offline, fully private, fully functional.
Bridges technical capability and real business problems. Emilie designs the architecture for each client engagement — translating messy enterprise needs into clean, deployable AI systems. Previously at Google Cloud helping enterprise customers migrate to AI-powered infrastructure.
Expert in the unglamorous but critical work that makes AI actually useful: data pipelines. Aubree transforms scattered enterprise data — across ERPs, CRMs, shared drives, and legacy systems — into clean, structured datasets that produce genuinely intelligent AI models.
12 years in management consulting. Marcus leads the discovery phase of every VAS engagement — mapping client workflows, identifying automation opportunities, and building the business case before a single line of code is written. His discovery sessions typically uncover 3-5× more opportunity than clients expected.
Organizational development specialist who turns AI skeptics into advocates. Lucy designs and delivers every staff training program VAS runs — role-specific, hands-on, and built around how people actually learn. Her programs have a 94% satisfaction rate across 40+ enterprise rollouts.
10 years managing enterprise client relationships in the technology sector. Diana owns every client relationship post-contract through go-live and beyond — ensuring deployments hit their targets and clients have a direct line to the team whenever they need it.