Start with the business.
A more capable model cannot replace a missing product definition or decide which source should be authoritative. We begin with the question and the information it needs.
OPENLOCK ABOUT OPENLOCK
OpenLock builds customer-controlled data foundations for enterprise AI.
A business’s knowledge should remain its advantage.
OpenLock is a data-and-AI engineering company developing a customer-controlled platform and managed service for AI data readiness.
We focus on the records, definitions, relationships, and evidence that allow people and approved systems to understand a business in context.
01 OUR MISSION
Connected. Understandable.
Ready for AI.
Make disconnected business information connected, understandable, and ready for AI—while keeping your data, business knowledge, and choice of AI under your control.
02 HOW WE THINK
Principles that guide the work.
Preserve the meaning people know.
Your team understands exceptions, relationships, and operating rules that may never have been written down. Approved interpretations should become reusable definitions, relationships, and tests.
Keep choice in your hands.
The data foundation should serve the models and agents you select. Your business context should remain independent of a single provider.
Stay with the operating reality.
The business changes. The foundation needs maintenance, review, and clear responsibility after the initial implementation.
03 WHAT WE ARE BUILDING
A platform.
A continuing partnership.
Consulting, engineering, and ongoing Managed DataOps—working together.
The core focus is the governed data foundation and the internal tools that build and maintain it. Specialized business agents can be selected by the customer, delivered by partners, or separately scoped.
The platform is under development. Capabilities, integrations, deployment requirements, and service commitments are established for each engagement.
04 LEADERSHIP
Matthew Murdoch
CEO, OpenLock
View Matthew’s LinkedIn profileMatthew brings experience managing Fortune 500 transformation projects at Deloitte and 13 years as a serial entrepreneur. His background combines understanding operating problems with implementing technology projects for large organizations.
That experience informs OpenLock’s emphasis on a defined business question, clear ownership, practical implementation, and evidence that a customer can inspect. His professional profile also highlights business-process efficiency and standardization.
Experience summarized as of September 2026. Prior professional experience is not evidence of an OpenLock production deployment.
05 EXAMINE THE WORK
Evidence you can inspect.
A reproducible demonstration
The manufacturing walkthrough documents synthetic inputs, joins, arithmetic, and acceptance checks. It uses the same hypothetical values as the site calculator. Read the demand-to-components walkthrough.
Clear boundaries around claims
The architecture describes intended capabilities. Demonstrations use hypothetical records. These are not customer case studies or measured production outcomes; a customer result requires an identified scope, baseline, method, limitations, and permission to publish.
NEXT START WITH A REAL QUESTION
What should your business be able to answer?
Tell us the question, where the information lives, and what a useful result would change.