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 ensures data is well-structured, secure, and readily available for AI, automation, and analytics. This practice area focuses on modernizing data platforms, improving governance, and creating interoperability between data systems, enabling real-time insights, better decision-making, and AI readiness.
Len Greski
Chief Scientist
The AI-enabled business requires AI-ready data: organized around domains, accurate within operational systems yet accessible to machine learning algorithms and agentic workflows. AI-ready data requires a foundation of governance, architecture and business ownership that enable an organization to trust decisions made with the data.
Improves data quality, security, and compliance by establishing structured governance, ownership models, and regulatory alignment.
Upgrades outdated data infrastructure to scalable, high-performance platforms that reduce costs and improve accessibility.
Designs flexible, efficient data ecosystems that support AI, automation, and analytics while ensuring interoperability.
Bridges the gap between business operations and analytics, enabling real-time insights and smarter decision-making.
Improves reporting, visualization, and self-service analytics, empowering teams with better, faster insights.
30+ years leading high-risk transformations that have generated billions in value — developing offerings that organize clients around business capabilities and turn data into 30–85% gains in quality and productivity.
Meet the Team