Rapid application validation
Turn a new product, workflow, or collaboration model into a running version quickly.
Purefect Studio · Enterprise application design and delivery workspace
From business vision to validated, evolvable system capability
Purefect Studio is where people and AI define enterprise software together. It unifies business modeling, experience design, SmartFlow orchestration, permissions, validation, and publishing to turn business intent into reviewable, executable Meta.
PUREFECT / BUSINESS CAPABILITYAI READY
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Business modeling
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Experience design
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SmartFlow orchestration
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Permission and organization setup
Business teams can understand it, delivery teams can move faster, and technology teams retain control—on definitions that run and keep evolving.
AI-native application delivery
People and AIdefine software together
When system definitions are structured data, AI can move beyond peripheral assistance into the delivery process. Studio provides current Meta, platform guidance, and governed tools while people retain control of business meaning, change scope, and final delivery.
Explore the intelligent evolution model01
Describe the business goal
Business teams express the scenario, rules, roles, and expected outcome in familiar language.
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Understand current Meta
AI reads approved models and relationships to identify reusable capabilities and affected areas.
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Generate candidate definitions
Produce reviewable plans and Meta changes across models, experiences, workflows, permissions, and services.
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Review, validate, deliver
People confirm business decisions; Platform validates and previews the change before governed publishing.
Users move from configuring every element to describing goals, reviewing plans, and accepting results. AI accelerates delivery while the enterprise retains authority over evolution.
Business outcomes
Make application delivery collaborative and verifiable
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Clearer requirements
Discuss change through business objects, workflows, and roles to reduce handoff loss.
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Faster delivery
Reuse models, components, and rules instead of rebuilding data, pages, and workflows.
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Controlled change
Preview and validate impact before release, with accountable owners approving key decisions.
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Practical AI assistance
Use current standards and business context to draft designs, assess change, and support validation.
Core capabilities
Design, orchestrate, validate, and publish in one workspace
Studio connects business language, structured Meta, and engineering constraints so business, delivery, technology teams, and AI work from the same system definition.
Business modeling
Describe objects, relationships, rules, states, and actions as reusable enterprise semantics.
Experience design
Organize pages, views, actions, and feedback for different roles and devices.
SmartFlow orchestration
Compose approvals, decisions, service calls, and human-AI collaboration.
Permission and organization setup
Define roles, functions, data scope, and organizational variation during design.
Preview and validation
Check experience, rules, permissions, and workflows before release.
Publishing and version collaboration
Publish reviewed definitions to Platform with a clear evolution history.
Core Studio capabilities
From business meaning to running systems
Studio uses one Meta foundation for business meaning, experiences, services, workflows, and governance so people and AI can design, validate, publish, and evolve the same system definition.
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Unified Meta system
A self-validating design platform
Inheritance, reuse, and relationship traversal
Visual application design
Multi-organization and multidimensional permissions
Service and SmartFlow orchestration
Human-AI collaborative evolution
Eight core metamodels, including Model, Domain, Page, and Service, form a Platform Meta system that people and AI can understand and evolve together.
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One continuous workflow from intent to release
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Understand the objective
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Model objects and relationships
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Design experiences and flows
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Configure permissions and organizations
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Preview and validate
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Review and publish
AI native
AI collaborates throughout the delivery lifecycle
AI can read current Meta and platform guidance to clarify requirements, generate candidate definitions, assess change impact, and assist validation. Formal delivery remains governed by enterprise review, permissions, and release controls.
Natural-language assistance for requirements and modeling
Reviewable drafts for pages, workflows, and rules
Impact analysis across objects, permissions, and processes
Assistance with consistency checks, test preparation, and release validation
Scenarios
Designed for application delivery and evolution
Continuous core-system evolution
Change experiences, workflows, and rules on a shared model without proliferating versions.
Industry solution assets
Encode proven industry practices as reusable models, flows, and components.
Give business demand and system delivery a shared language
Start with one bounded application or frequently changing module and experience the full model-to-runtime path.