Connect the right sources.
Start with the business question and the approved information it needs. Connect enough to solve a meaningful problem.
DATA & AI ENGINEERING
AI data readiness for the systems you have and the AI you choose.
AI-ready data. Connected. Under your control.
OpenLock is a data-and-AI engineering company developing a customer-controlled platform and managed service for AI data readiness.
For operations and technical teams working across disconnected business systems, an engagement is scoped to deliver approved data connections, shared definitions, tested answers, and an operating plan for ongoing Managed DataOps.
Platform under development. Integrations, deliverables, and service commitments are agreed for each engagement.
Three layers from existing systems to chosen AI
THE CONNECTED FOUNDATIONLAYERS
Agentic Agnostic Layer
Model-neutral governed access for approved AI models, agents, applications, and business tools.
Private AIApproved external AI*Business tools
Governed access
Harmonic Layer
OPENLOCKOpenLock’s governed, customer-controlled, AI-ready data foundation and business context layer.
PreserveOrganizeConnectGovern
Approved replication
Chaos Layer
Disconnected ERP, CRM, spreadsheets, email, documents, photos, operational systems, and authorized external data.
ERPCRMExcel / Google SheetsEmailFiles / PhotosOperational data
YOUR KNOWLEDGE. YOUR CHOICE.Explore the foundation
THE READINESS GAP
The information exists.
The connections are missing.
Your team connects the pieces every day.
AI needs that context too.
A customer order in one system. Its product definition in another. The explanation behind a delivery promise in an email—or with the person who handled it.
More files alone cannot supply the right customer, the applicable revision, or a reliable view of inventory. The foundation needs clear definitions, reviewed relationships, and evidence you can inspect.
COMMERCIALCustomer order↔PRODUCTApproved definition↔OPERATIONSAvailable supply↔CONTEXTCorrespondence
WHAT OPENLOCK DOES
More than bringing
data together.
Preserve what it means.
Bring customer identities, product references, transactions, and documents together through shared definitions and reviewed relationships.
Make access deliberate.
Prepare information for approved people, models, and agents, with permissions and source evidence built into the foundation.
Keep it useful.
Maintain the connections and definitions as your systems, business, and AI needs change.
THE ARCHITECTURE
Your systems below.
Your chosen intelligence above.
OpenLock connects the two.
Existing systems keep their operating roles. Approved copies enter the Harmonic Layer, OpenLock’s governed data foundation, where information is preserved, organized, connected, and governed. Your chosen tools use that context through controlled access.
See how the platform worksA PRACTICAL QUESTION
A year of demand.
A clear view of what to source.
What parts and items are needed to fulfill your customers’ demand?
Sales orders describe the need. Bills of materials describe the parts. Inventory and purchase orders describe available supply. OpenLock’s intended role is to connect the records and the business meaning behind the answer.
Explore the sourcing exampleIllustrative workflow. Purchasing decisions stay within the customer’s approved process.
TWO DEFINING PRINCIPLES
Your knowledge.
Your choice.
Data sovereignty
Control where your foundation runs, who can access it, and what information may leave. Keep the business meaning behind your records under your organization’s control.
Agentic sovereignty
Choose the models and agents that serve your business. Preserve approved definitions and relationships independently of a single AI provider.
Private processing and approved external processing are different choices. Those boundaries must be explicit.
Explore sovereignty and controlA CONTINUING PARTNERSHIP
From the first question
to an operating foundation.
Consultants. Engineers.
Internal Builder agents.
Ongoing Managed DataOps.
Identify the right sources, validate their relationships, and maintain the foundation as the business changes. Start with a bounded outcome, prove it, operate it, and expand deliberately.
See our approachPRACTICAL GUIDANCE
Inspect the work
behind a useful answer.
How do you assess whether business data is ready for AI?
A practical assessment of source coverage, definitions, freshness, permissions, and traceability, with acceptance examples.
What does Managed DataOps include?
Define monitoring, maintenance, incident handling, change review, recovery, and the responsibilities an operating agreement needs.
How does OpenLock complement a data warehouse or RAG system?
Compare storage, retrieval, and business context, then decide where a governed data foundation would add value.
How can manufacturers connect demand, bills of materials, and inventory?
Follow a reproducible sourcing walkthrough with hypothetical records, arithmetic, validation checks, and planning limitations.
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.