Development Roadmap

Our journey to build the most comprehensive privacy-preserving toolkit for LLM workflows

Open Development

Community Driven

Regular Updates

🚀 Current Status

We're currently in the Beta Launch phase, preparing for our July 2025 public release

Beta Launch Phase - Q3 2025 (July - September)

Current

🎯 Current Focus

Beta v0.3 final preparations
Community launch and onboarding
Academic preprint submission (arXiv)
DeFi 2025 conference paper submitted ✅
Security audit and vulnerability assessment
Performance benchmarking

🔧 Available Features

Core PII/PHI detection engine
Human-in-the-loop review interface
Multi-format document processing
Output sanitization system
Cross-platform desktop applications
CLI tools and web interface

🎉 July 2025 Launch Targets

• Public beta release with full feature set
• Community onboarding and feedback collection
• Documentation and tutorials completion
• Academic paper submission to conferences
• Initial user adoption and case studies

✅ Previous Phase Completed

Q2 2025 development phase successfully completed all core features

Core Development Phase - Q2 2025 (April - June)

Completed

✅ Development Completed

Cross-platform desktop applications (Qt)
Human-in-the-loop review interface
Output sanitization system
Web interface (Streamlit-based)
CLI tools and basic API
Performance optimization & testing

✅ Foundation Established

Project architecture & design
Core PII/PHI detection algorithms
Multi-format document processing
Security framework implementation
Research methodology & paper draft
Open source project setup

📅 Development Timeline

Q3 2025 (July - September)

Current Phase

🎯 Key Milestones

• July 2025: Beta v0.3 public release
• Community launch and feedback collection
• Academic preprint submission (arXiv)
• DeFi 2025 conference paper submitted ✅
• Security audit and vulnerability assessment
• Performance benchmarking and optimization

🔧 Available Features

• Core PII/PHI detection engine
• Human-in-the-loop review interface
• Multi-format document processing
• Output sanitization system
• Cross-platform desktop applications
• CLI tools and web interface

Q4 2025 (October - December)

Enhancement Phase

🏢 Enterprise Features

• Role-based access control (RBAC)
• Field-level encryption implementation
• SSO integration (SAML, OAuth)
• Advanced audit logging
• Compliance reporting dashboard
• Enterprise deployment guides

🔌 Integration & APIs

• RESTful API v1.0 release
• Python SDK with full documentation
• JavaScript/Node.js SDK
• Webhook support for notifications
• Popular LLM service integrations
• Plugin architecture foundation

Q1 2026 (January - March)

Scale Phase

🌐 Scale & Performance

• Cloud-native deployment options
• Kubernetes operator
• Auto-scaling capabilities
• Distributed processing support
• High availability configurations
• Multi-region deployment

📊 Analytics & Monitoring

• Real-time processing metrics
• Detection accuracy analytics
• Performance monitoring dashboard
• Custom alerting system
• Usage analytics and reporting
• ML model performance tracking

Q2 2026 (April - June)

v1.0 Target

🎉 v1.0 Release

• Production-ready stable release
• Comprehensive documentation
• Professional support options
• Enterprise licensing program
• Certification and compliance validation
• Community marketplace launch

🚀 Advanced Features

• AI-powered custom entity training
• Advanced workflow automation
• Plugin ecosystem launch
• Mobile companion apps
• Advanced compliance modules
• Multi-language support expansion

📚 Research & Academic Milestones

Academic Publications

Research Paper Draft

Q2 2025 - Completed ✅

Methodology development and initial findings

arXiv Preprint

August 2025 - In Progress 🔄

Initial research findings and methodology

DeFi 2025 Conference

August 2025 - Submitted ✅

Scopus-indexed conference paper submission

Journal Extension

Q1 2026

Comprehensive journal paper submission

Research Dataset Release

Q2 2026

Open benchmark dataset for community

Research Goals

Establish benchmark datasets for PII detection evaluation
Develop novel privacy-preserving ML techniques
Create comprehensive compliance frameworks
Collaborate with academic institutions
Open-source research toolkit for community
Industry partnerships for real-world validation

🤝 Community-Driven Development

Our roadmap is shaped by community feedback and real-world usage. Join us in building the future of privacy-preserving AI.

Community Input

Feature requests and feedback from our growing community of users and contributors.

Open Development

Transparent development process with public roadmap updates and progress tracking.

Security First

Regular security audits and community-driven security improvements and testing.

Request Features