1
Agentic SDLC
AI agents support every stage of the software lifecycle—from discovery and prototyping to architecture, development, testing, and deployment.
Masario
From Requirements to Production, With Governance Built In
MASARIO is an agentic software delivery platform that plans, builds, tests, and deploys software through a governed AI-powered lifecycle—with human approval, enterprise governance, and full traceability at every stage.
From Requirements to Production, With Governance Built In
Key Metrics
MASARIO transforms the software development lifecycle into one intelligent, governed workflow. AI agents work across six SDLC phases while structured context, human approvals, security controls, and complete auditability remain embedded throughout the process.
6
Agentic SDLC Phases
21
AI Models Across 5 Providers
32
MCP Tool Integrations
65
Governance Checklist Items
6
Human Governance Gates
Everything You Need to Re-Engineer Software Delivery
MASARIO combines agentic AI, automated delivery, enterprise integrations, and governance into one end-to-end software delivery platform.
2
AI-Powered Development
Leverage multiple AI models across leading providers and select the right model for each workload without platform lock-in.
3
Built-In Governance
Every phase is controlled by explicit governance gates, with human approval required before work progresses to the next stage.
4
Context Intelligence
Structured, machine-readable context carries requirements, decisions, constraints, and artifacts across every phase—eliminating lost context and repeated briefing.
5
Enterprise Integrations
Connect MASARIO with your existing delivery ecosystem through MCP integrations, including GitHub, Azure DevOps, Jira, Figma, and Notion.
6
Complete Traceability
Every artifact, decision, change, and approval is versioned, attributable, searchable, and auditable throughout the project lifecycle.
How MASARIO Works
One Governed Loop From Requirement to Production
1. Discovery
Requirements, scope, and acceptance criteria are structured and validated.
2. Prototype
Screens and user journeys are generated and reviewed before development begins.
3. Architecture
HLD, LLD, API specifications, and data models are created and approved.
4. Build
AI agents generate application code and commit it to your repository.
5. Testing
Automated test suites, coverage analysis, and security scanning validate the software.
6. Deployment
Infrastructure, pipelines, and releases are prepared and deployed through controlled workflows.
Ready to Re-Engineer Software Delivery?
Move from AI-assisted development to a fully governed, agentic software delivery lifecycle. 6 Phases. 6 Governance Gates. 21 AI Models. 32 Integrations.