Company
metricsIQ builds and operates mDecide.
Founders of 47Lining, acquired by Hitachi. 60+ years of collective experience building enterprise platforms for Fortune 50 energy, global logistics and retail.
Who we are
We exist to help our customers see value from AI.
metricsIQ helps enterprises design, deploy and run agentic AI in industries where the stakes are high. We build and operate mDecide, and we deliver it through Decision Packs: one recurring decision at a time, in production, with value you can measure.
Senior practitioners do the work from day one. The people who scope your first decision are the same people who build and operate it, and we hold every engagement accountable for results.
Leadership team
Decades of experience in cloud, data and AI.
Mick leads metricsIQ and sets the direction for how the company applies agentic AI to enterprise workflows. He has decades of experience in cloud, data and AI, and focuses on helping customers move from traditional automation to agent-driven operations.
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Eric has extensive experience in cloud architecture, enterprise AI systems and operational best practices. He leads the engineering team building agentic AI platforms that are reliable and work at scale, with enterprise-grade security and performance built in.
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Brian leads architecture at metricsIQ. He has decades of experience architecting, building and managing complex software systems, with particular depth in enterprise-scale design and implementation. His focus is on building secure, integrated agentic AI workflows that produce real business value.
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Carla leads customer success and delivery at metricsIQ. She works closely with executive and technical teams to connect strategy to execution and turn customer goals into concrete outcomes. Carla builds lasting client relationships and holds each engagement accountable for results.
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Sabrina leads business operations at metricsIQ, with more than 20 years of experience across operations and corporate functions. She oversees the business activities that keep the company running and works across teams to streamline processes, manage risk and strengthen operational performance.
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Marcin leads engineering teams at metricsIQ that build and deliver mDecide. He has spent his career delivering digital products for customers across engineering, analysis, delivery leadership and cloud services, most recently building agentic AI solutions. His focus is on delivering dependable, measurable agentic AI capabilities for customers.
LinkedIn →Advisors
Experienced advisors on growth, leadership and change.
Decades of leadership at Microsoft, AWS and Accenture guiding organizations through complex digital transformations. Adjunct professor on AI’s impact on organizations and founder of Buddha in the Boardroom. Advises on how agentic AI changes leadership, culture and the way teams make decisions.
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More than 20 years building and scaling technology businesses at AWS, Google Cloud, Oracle Cloud Infrastructure and Intel, leading organizations of over 2,000 people. Advises on connecting market opportunity, product strategy and execution to durable revenue growth.
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Serial entrepreneur and seed-stage investor who has co-founded and grown multiple technology companies, including Eden Ventures, Nadex and RapidFort, several acquired by major buyers. Two decades leading early-stage ventures.
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A decade running an EU-based consulting and engineering organization serving global enterprises, with a focus on people-centric change. Advises on how agentic AI creates value when technology adoption and workforce development move together.
LinkedIn →Our heritage
From cloud-scale industrial data to agentic decisions.
The metricsIQ founding team previously launched 47Lining, a cloud consulting leader focused on data lakes, IoT and AI/ML, which was acquired by Hitachi. Building cloud-scale industrial data platforms for Fortune 50 energy companies taught us how to guide enterprises through complex technology shifts.
We now apply that same approach to agentic AI, with mDecide as the platform.
Fortune 50 track record
Months to weeks, at enterprise scale.
For a Fortune 50 oil and gas operator, we defined and implemented the AI-readiness ontology and context layer that connected siloed subsurface, production and operations data. We then helped establish that framework as an industry data standard and brought it to market through an as-a-service licensing partnership with a major cloud hyperscaler.
Track record
Results across energy, logistics, retail and gaming.
The challenge. Subsurface exploration and capital allocation decisions took months, with geologists manually correlating data across dozens of specialized systems.
What we built. Agentic data systems with chat-enabled map agents that let geologists query, visualize and correlate subsurface data through natural-language workflows.
The impact. Decision cycles dropped from months to weeks, a ~75% reduction in time-to-decision, across the entire asset portfolio.
The challenge. No visibility into environmental conditions across a worldwide facility network. Batch reporting meant problems were discovered after the fact.
What we built. An IoT-driven data platform with real-time monitoring of temperature, humidity and operational parameters across the global footprint.
The impact. Monitoring shifted from batch to real-time, enabling proactive intervention and significant cost savings.
The challenge. Executive leadership had no consistent way to identify underperformance across thousands of retail locations worldwide.
What we built. Enterprise-scale data warehousing and analytics supporting reporting and operations across the global footprint.
The impact. Near real-time visibility into underperforming locations and data-driven decision support worldwide.
The challenge. A major game studio needed to analyze billions of daily behavioral events for a tent-pole release. Existing analytics could not keep pace.
What we built. A large-scale real-time analytics backend handling billions of daily events for player behavior analysis and in-app purchase optimization.
The impact. Analysis cycles dropped from weeks to hours, so the studio could react to player behavior during the launch window.
Better outcomes from the decisions that matter most.
We work with your leadership to identify the recurring decisions with the greatest impact on cost, risk and revenue, and put them into production with mDecide.