mDeck
AI workbench
People can request work, review proposals, approve actions, and inspect results and supporting evidence.
Use AI and automation to improve the work that matters to the business.
metabiz helps enterprises improve cost and efficiency through an evidence-led process: adopt the right product, integrate existing systems, or customize differentiated work; scope, maintenance, and responsibility are agreed per engagement.
mOrbit | Enterprise AI and automation solution
Combine existing systems, enterprise knowledge, AI models, work capabilities, and governance into an operating whole. Private infrastructure owned by the customer can be included when sensitivity, reliability, or on-site constraints require it.
POSCRMERPCommerceCustomer serviceFiles & knowledgeDatabasesOther enterprise systems
mOrbit
Combine existing systems, enterprise knowledge, AI models, work capabilities, and governance into an operating whole. Private infrastructure owned by the customer can be included when sensitivity, reliability, or on-site constraints require it.
Keep the systems already running the business
Most organizations do not need to rebuild POS, CRM, or ERP because of AI. We connect usable foundations first and invest in truly differentiating work.
mBrain
Private enterprise knowledge
Preserve sources, versions, and evidence so AI knows where an answer came from—and what is missing.
mDock
Controlled action capability
Manage skills, connectors, approvals, and evidence so AI can move safely from advice to action.
AI EDP
Data and system integration
Connect enterprise data, workflows, agents, and existing systems around the same work without replacing every core platform.
mCRM / mCard
Member and service operations
Support existing member, engagement, and service scenarios as enterprise capabilities that can be integrated and extended.
This page describes product direction and composable capabilities. It does not mean every module is commercially validated in every context. Scope, maturity, SLA, infrastructure, and responsibility are agreed per engagement.
mBase
Let the business see who uses AI, what it costs, and which data is allowed.
mBase provides a direction for governing model and token usage, access, budgets, routing, cost, and audit within agreed deployment scope.
01 · mBase
Organize model choices
Map model choices by work need, capability, and limitation.
Start with the use case before deciding which model enters the flow.
02 · mBase
Set usage policy
Show how role, access, purpose, and cost ownership connect.
Follow policy to check that usage stays within control.
03 · mBase
Keep governance records
Show how usage, approval, and exceptions form reviewable records.
Retain a governance basis for later checking and adjustment.One objective can use different improvement paths.
We choose a path based on maturity, differentiation, maintenance cost, data risk, and expected life.
01
Product and configuration
Use existing products and standard configuration when the need is repeatable and the scope is stable.
02
Integration and customization
Keep core systems and add connectors, workflows, or AI for differentiated work.
03
Governance and continuous improvement
For multi-team, multi-model, and high-risk use, add access, cost, audit, and operational controls.