Most enterprises run on fragmented data. We unify it into a governed, reusable asset — driving cost savings, AI readiness, modernization, and long-term value creation.
Fragmented systems consolidated into a single, governed data foundation across every business unit.
A reusable data asset that compounds in value — eliminating redundant work and driving cost savings at scale.
From legacy to AI-ready. From cost center to revenue generator. Value creation embedded across the enterprise.
Siloed systems, no single source of truth. Decisions made on incomplete information.
Legacy architecture that cannot support modern AI tools, automation, or analytics.
Untapped data assets sitting idle — no pathway to monetization or competitive advantage.
Manual processes, redundant costs, and inefficiencies that erode margin and enterprise value.
We map the full technology and data environment — identifying fragmentation, gaps, and AI readiness across the enterprise. A fact-based foundation for everything that follows.
We design a scalable, AI-ready data infrastructure and deliver a prioritized modernization roadmap — sequenced to deliver value at every step.
We execute the roadmap — modernizing data infrastructure and building the Unified Data Model one business unit at a time.
We design, architect, and deploy custom AI products, tools, and agents tailored to the enterprise's data environment and business objectives.
A unified, governed data foundation that aligns every business unit, every decision, and every system.
Security, lineage, and compliance built into the foundation — not bolted on afterward. The basis of trust in every decision.
Real-time visibility into operational performance and business health by unit — and the ability to manage risk proactively across the enterprise.
Reusable data assets eliminate redundant projects, manpower, and infrastructure spend — savings that compound with every use case.
Automation, process optimization, and margin expansion across business units once the underlying data is unified and trusted.
Legacy systems retired and replaced with scalable, secure platforms ready for AI, blockchain, and emerging technologies.
A foundation that supports AI deployment at scale — from internal copilots to customer-facing intelligent products.
Data assets monetized internally and externally. AI products and data services generating incremental income.
The premium that markets pay for data-driven, AI-enabled enterprises with modern, scalable platforms.
A modern data platform delivered on Snowflake through migration and optimization — reducing cost, eliminating redundancy, strengthening regulatory compliance, and de-risking future AI and advanced analytics initiatives.
A leading "Buy Now Pay Later" marketplace, owned by a major private equity firm, focused on establishing and increasing consumer credit scores.
A century-old, publicly traded commercial bank — and one of the top-performing NASDAQ-listed banks in its sector in recent years.
A payment processing and account management provider serving consumers working with debt settlement providers.
A community bank scaling into new business verticals and working to overcome structural scalability constraints.
Former Managing Director and CTO of JPMorgan Intelligent Solutions (2005–2017), where he led engineering for 4,000 big data servers managing 80+ petabytes and chaired the Machine Learning Steering Committee. Previously CTO of Cerberus Technology Solutions and Regulatory DataCorp (Vista Equity Partners). Advisory board roles with Hortonworks, Cloudera, Red Hat, and AWS.
25+ year value creation track record across hedge funds, private equity, and big data. Formerly led global enterprise technology innovation strategy at Nike's Technology Innovation Office. MBA, International University of Monaco.
15+ years leading product innovation, data-driven transformation, and AI adoption for high-growth companies. Founder of Devant Group and former CTO of Zenith SaaS, where he led global teams delivering enterprise CRM and SaaS platforms across finance, healthcare, and telecommunications.