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Become a sponsor to Rahul Dass

Supporting QWED Development

I'm Rahul Dass, creator and maintainer of QWED-AI - the verification infrastructure layer for Enterprise AI.

What is QWED?

QWED is an open-source protocol that mathematically proves LLM outputs before they reach production. It solves the fundamental reliability problem in AI systems:

  • βœ… Deterministic Verification - No more hallucinations in critical systems
  • πŸ”’ Security-First - Prevents SQL injection, code vulnerabilities, prompt injection
  • πŸ“Š Formal Methods - Uses SymPy, Z3, AST analysis (not just LLM guardrails)
  • 🎯 Production-Ready - Used in finance, healthcare, legal tech

The Problem: LLMs are wrong 12% of the time, but we're using them for loan calculations, medical advice, and legal contracts.

QWED's Solution: Treat LLMs as "untrusted translators" and verify every output with formal methods before production.

What Your Sponsorship Enables

Your support directly funds:

πŸ› οΈ Infrastructure & Operations

  • Tools
  • Cloud deployment & CI/CD
  • Performance monitoring & analytics

πŸš€ Enterprise Features

  • Verification history & audit logs (compliance-ready)
  • Usage analytics dashboards
  • Advanced caching & optimization
  • Multi-tenant support

πŸ’¬ Community & Support

  • Dedicated enterprise support channels
  • Production deployment assistance
  • Custom integration consulting
  • Security audits & compliance documentation

πŸ“š Documentation & Education

  • Comprehensive integration guides
  • Video tutorials & workshops
  • Case studies & benchmarks
  • Best practices documentation

Milestones & Transparency

Current Status (Jan 2026):

  • ⭐ 30+ GitHub stars
  • πŸ“¦ Published on PyPI, npm
  • 🌍 8 verification engines (Math, Logic, Code, SQL, Stats, Vision, Consensus, Multi-Agent)
  • πŸ“– Complete documentation at docs.qwedai.com

Roadmap (Q1 2026):

  • Client-side LLM support (no backend required)
  • Real-time streaming verification
  • Go SDK (community-requested)
  • Kubernetes deployment guides

Funded by sponsors:

  • Enterprise analytics dashboard
  • SOC 2 compliance documentation
  • 24/7 monitoring & alerting

Why Sponsor?

QWED is 100% open source (Apache 2.0). There's no venture capital, no corporate backing - just passionate engineers building essential AI infrastructure.

Your sponsorship means:

  • βœ… Faster feature development
  • βœ… Better documentation & support
  • βœ… Sustainable open-source development
  • βœ… Priority access to enterprise features

For companies: Sponsorship is far cheaper than the cost of a single AI hallucination in production ($600+ average error cost).

Tier Benefits

πŸ₯‰ Supporter ($5/mo)

  • Name in CONTRIBUTORS.md
  • Sponsor badge on your profile
  • Early access to feature announcements

πŸ₯ˆ Power User ($25/mo)

  • Everything in Supporter
  • Priority bug fixes
  • Email support (48hr response)
  • Feature request priority

πŸ₯‡ Enterprise Sponsor ($100/mo)

  • Everything in Power User
  • Direct Slack/Discord support channel
  • Production deployment consulting
  • Custom integration assistance
  • Usage analytics & monitoring access

πŸ’Ž Enterprise Pro ($500/mo)

  • Everything in Enterprise
  • Dedicated MongoDB instance
  • 24/7 support with SLA
  • Custom feature development
  • Security audit assistance

Open Source Philosophy

QWED will always be:

  • 100% open source (Apache 2.0)
  • Self-hostable
  • No vendor lock-in
  • Community-driven

Sponsorships fund the infrastructure and support around the open-source core, not the code itself.

Get Involved

Beyond sponsorship, you can:

Contact


Thank you for considering sponsoring QWED! Every dollar helps build safer, more reliable AI systems for everyone.

πŸ™ Your support makes a real difference.

@rahuldass19

Need support as I build Full-time QWED. $1,100/month covers living + infrastructure costs in India. Currently full-time without support. Your support can help me be focused mentally and emotionally. Thank you for making this possible!

Featured work

  1. QWED-AI/qwed-verification

    Deterministic verification layer for LLMs | AI hallucination detection | Model output validation | Formal verification for AI | Python 🐍

    Python 48

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β˜• Buy me a coffee

One-time support to keep the development going! No ongoing commitment.

Benefits:

  • βœ… Sponsor badge
  • βœ… Twitter shoutout
  • βœ… Warm fuzzy feeling 😊

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### πŸš€ Production Deployment Package
Complete production deployment assistance. I'll help you deploy QWED to production with confidence.

Benefits:

  • βœ… Production architecture review
  • βœ… Docker/K8s deployment setup
  • βœ… MongoDB integration & optimization
  • βœ… Monitoring & alerting configuration
  • βœ… Security audit & best practices
  • βœ… 2 weeks of post-deployment support