Investor Deck

Sruja: Architecture-as-Code for Modern Software Teams

Sruja: Investor Deck

Slide 1: The Problem

Architecture Documentation is Broken

  • 📄 Diagrams become outdated within weeks
  • 🔍 No validation — design decisions aren’t enforced
  • ⚠️ Compliance risk — requirements documented but not verified
  • 💸 Cost: 20-30% of senior engineer time on documentation
  • 🤖 AI code assistants generate code without architectural context

The Market Gap: Existing tools (Structurizr, PlantUML) can be stored in Git but lack validation, enforcement, and AI integration.

Slide 2: The Exact Problem We Solve

  1. Outdated Documentation — Architecture diagrams become stale within weeks as systems change
  2. No Automated Validation — Rules are documented but not enforced; violations discovered after implementation
  3. Compliance Risk — Requirements (HIPAA, SOC2, PCI-DSS) documented but not verified
  4. Disconnected from Code — Architecture files exist but don’t integrate with CI/CD to block violations
  5. No Policy Enforcement — Security and compliance policies can’t be codified and automatically validated
  6. Knowledge Silos — Architecture knowledge lives in separate files that become outdated
  7. AI Code Generation Without Context — AI assistants generate code that violates architectural patterns

Cost Impact: 20-30% of senior engineer time on manual reviews, compliance audit risks, technical debt from undetected violations

Slide 3: Our Solution

Sruja: Architecture-as-Code

Transform architecture from static documentation into executable, validated, and enforceable code that:

  • ✅ Lives alongside code in version control
  • ✅ Validates architectural rules automatically (like code compilers)
  • ✅ Enforces policies and constraints in CI/CD
  • ✅ Provides structured context for AI code assistants
  • ✅ Generates diagrams, documentation, and infrastructure configs

Key Differentiator: Unlike static diagram tools, Sruja validates rules, enforces policies, and integrates with development workflows.

Slide 4: How We’re Solving It

Core Approach: Architecture-as-Code

  1. Automated Validation

    • Prevents circular dependencies
    • Enforces proper architecture layers
    • Validates security and compliance requirements
    • Catches broken references before deployment

  2. Policy-as-Code

    • Codify security and compliance policies as executable rules
    • Automatically validated in CI/CD
    • Reduces compliance risk

  3. AI Code Assistant Integration

    • Structured DSL provides machine-readable context
    • AI generates code that follows architectural patterns
    • Respects service boundaries and constraints
    • Reduces manual fixes and violations

  4. DevOps Integration

    • CI/CD pipelines (block PRs that violate architecture)
    • Infrastructure-as-Code tools (generate configs from architecture)
    • Service mesh tools (generate traffic rules - roadmap)
    • Monitoring tools (export architecture for context)

Slide 5: Go-to-Market Strategy

Open Source Foundation

  • Apache 2.0 licensed open source project
  • Builds community adoption and trust
  • Enables transparent development
  • Creates network effects as more teams adopt
  • Provides foundation for enterprise features

Professional Services

While the core is free, we offer:

  • Implementation support and best practices guidance
  • Custom integrations with existing toolchains
  • Team training and architectural governance consulting
  • Custom validators and platform integrations

Path to Revenue

  • Phase 1 (Current): Open source adoption, community building, professional services
  • Phase 2 (Near-term): Enterprise features (live system analysis, advanced compliance)
  • Phase 3 (Long-term): Platform capabilities (drift detection, continuous governance)

Slide 6: Future Platform Vision

Sruja is designed to evolve into a comprehensive platform for continuous architectural governance:

  • Live System Review: Compare production systems against models to detect drift
  • Gap Analysis: Automatically identify missing components and architectural gaps
  • Continuous Validation: Monitor production systems against policies in real-time
  • Compliance Automation: Generate compliance reports from live system analysis

Competitive Moat:

  • Network effects (more adoption = better tooling)
  • Data advantage (architecture patterns inform better validation)
  • Developer experience (IDE-native with rich error messages)
  • Platform evolution (foundation designed for comprehensive governance)

Slide 7: Market Opportunity

Why Now?

  • 📈 DevOps Maturity → Platform Engineering
  • 🔒 Increasing Compliance Requirements (GDPR, SOC2, HIPAA, PCI-DSS)
  • 🌐 Remote Work → Better documentation needed
  • 🏗️ Microservices Complexity → Need governance
  • 🤖 AI/ML Integration → Architecture-as-code enables AI-assisted design

Target Market

  • ✅ Startups (10-50 engineers): Fast scaling, need consistency
  • ✅ Scale-ups (50-200 engineers): Managing complexity, compliance needs
  • ✅ Enterprises (200+ engineers): Governance, compliance, knowledge management

Slide 8: ROI & Value Proposition

For a 100-engineer organization:

  • 💰 $500k/year saved on documentation time
  • ⚡ 50% faster onboarding
  • 🛡️ Zero compliance audit failures
  • Total: $1M+ ROI per year

Strategic Value

  1. Risk Reduction: Automated compliance and security validation
  2. Velocity & Efficiency: Faster onboarding, reduced rework
  3. Knowledge Preservation: Living documentation that stays current
  4. Future-Proofing: Extensible platform that grows with needs

Slide 9: Competitive Advantage

FeatureTraditional ToolsSruja
ValidationManual reviewAutomated validation
EnforcementNoneCI/CD integration
ComplianceManual documentationPolicy-as-code
Drift DetectionNoneAutomated (roadmap)
AI IntegrationNoneStructured context for code generation
Developer ExperienceExternal toolIDE-native

Key Insight: Sruja doesn’t replace existing tools — it enhances them with validation, enforcement, and AI integration.

Slide 10: Use Cases

1. Financial Services: PCI-DSS Compliance

Challenge: Ensure payment systems comply with PCI-DSS Level 1 requirements.

Result: Automated validation ensures all payment components meet PCI-DSS requirements.

2. Healthcare: HIPAA Compliance

Challenge: Document and enforce HIPAA-compliant data flows.

Result: Automated validation ensures PHI handling meets HIPAA requirements.

3. E-Commerce: Microservices Governance

Challenge: Prevent microservices from becoming a “big ball of mud.”

Result: Automated validation enforces service boundaries and prevents architectural drift.

4. Startup: Fast Scaling

Challenge: Scale from 10 to 1000 engineers while maintaining architectural consistency.

Result: Faster onboarding, consistent architecture, reduced technical debt.

Slide 11: Traction & Community

Current Status

  • ✅ Open Source (Apache 2.0 licensed)
  • ✅ Active Development (v0.1.0 alpha)
  • ✅ Community-Driven (GitHub, Discord)
  • ✅ Professional Services available

Community Resources

Slide 12: The Ask

Investment Opportunity

What We’re Building:

  • Open source foundation with strong community adoption
  • Enterprise platform for architectural governance
  • AI-powered code generation with architectural context

What We Need:

  • Strategic partnerships with enterprises
  • Resources to accelerate platform development
  • Go-to-market support for enterprise features

Next Steps

  1. Pilot Program (2-4 weeks): Model one system, integrate validation, measure results
  2. Partnership Discussion: Explore enterprise needs and custom solutions
  3. Investment Discussion: Discuss funding for platform acceleration

Slide 13: Contact & Resources

Get Started: https://sruja.ai

For Investors:

Contact:

Bottom Line: Sruja transforms architecture from documentation to code — reducing risk, increasing velocity, and ensuring compliance. As an open source project, it’s free to use and designed to evolve into a comprehensive governance platform.