Move beyond isolated AI experiments to build scalable, domain-driven systems with AI-ready architectures.
Enhance valuation and accelerate ROI through due diligence, tech migrations, and strategic restructuring.
Control cloud costs, streamline data, and focus investments on high-value, scalable solutions.
Streamline operations and improve decision-making by aligning your ERP systems with how your business actually works.
Reduce risk and increase resilience by closing the security gaps hiding in your architecture and workflows.
Optimize operations, restructure teams, and modernize technology to maximize the value of digital investments.
Deliver mission-critical software in production-ready increments that create measurable value early.
Reduce risk and complexity with every cycle, turning legacy systems into platforms that can evolve.
The belief that shaped us — and how it evolved into LiminalArc, the natural next step in our journey.
Our team of over 100 experts spans the nation, from consultants and technical architects to product specialists.
We are looking to hire mature, pragmatic consultants who are deeply passionate about meaningful change.
Our approach moves cloud beyond migration, anchoring architecture, economics, and delivery to the business outcomes the cloud is meant to support. This practice focuses on modernizing platforms, instilling FinOps and platform engineering as ongoing discipline, and aligning operating models so cloud investments produce measurable, compounding returns.
Stacy Gordon
Director of Strategic Growth and Cloud Partnerships
Most cloud programs underperform because the operating model didn't move with the workloads. Our role is to align architecture, economics, and delivery so the cloud actually produces the returns it was supposed to.
Aligns cloud investment with business strategy by deciding what to refactor, replace, migrate, or retire — then modernizes applications into modular, cloud-native services in measurable increments. Each move delivers value before the next begins.
Stabilizes cloud spend through right-sized infrastructure, accountable ownership, and forecasting tied to workload outcomes. Establishes FinOps as an ongoing discipline rather than a reactive cost-cutting exercise.
Builds internal platforms and self-service tooling that accelerate delivery while enforcing standards. Reduces friction for engineering teams and creates the consistency needed to scale cloud operations safely.
Defines SLOs and instruments systems around the business outcomes they support, giving teams visibility into drift before customers feel it. Turns reliability into a measurable capability rather than a reactive function.
Designs portable, governed architectures that match workloads to the right environment without overengineering for abstraction. Provides clear interoperability, consistent operations, and unified governance across providers.
Prepares cloud platforms to support AI workloads at production scale by establishing the compute capacity, data accessibility, and governance needed to deploy AI systems reliably and cost-effectively. Bridges cloud architecture to the requirements of applied AI.
Brings 20+ years driving revenue and high-impact partnerships across technology, media, and enterprise services, with a customer-first focus on connecting cloud innovation to enterprise agility. Aligns cloud strategy, economics, and partner ecosystems to the business outcomes that make cloud investment pay off.
Meet the Team