Building transparent, auditable, and repeatable infrastructure for the SAT and formal-methods community
Byt-Wyze develops deterministic SAT generators, CNF preprocessing tooling, and reproducible research standards for the SAT and formal-methods community.
We make SAT experimentation transparent, auditable, and repeatable — from instance generation to solver preprocessing and model lifting.
Our Principles:
- ✅ Deterministic by design
- ✅ Scientifically rigorous
- ✅ Fully reproducible
- ✅ Open standards, commercial-grade execution
A deterministic, reversible format for recording CNF preprocessing steps
The SAT community needs a standard way to track what solvers do during preprocessing. STTF provides exactly that.
Key Features:
- ✅ Minimal opcode set covering all core CNF transformations
- ✅ Full trace from original CNF → simplified CNF
- ✅ Deterministic reverse-map for lifting solver models
- ✅ Reference replay + validation engine
- ✅ Designed for research, benchmarking, solver development, and competitions
Status: Open specification for community adoption
Use Cases:
- Competition organizers tracking solver behavior
- Researchers validating preprocessing claims
- Solver developers debugging transformations
- Academic reproducibility requirements
Deterministic SAT instance generator with mathematically rigorous hardness control
Generate SAT instances with predictable structural properties using the proprietary CES (Combinatorial Exponential Sequence) framework.
Key Features:
- ✅ Deterministic generation (same seed = same instance)
- ✅ Tunable difficulty parameters
- ✅ Mathematically grounded (not random)
- ✅ DIMACS CNF output format
- ✅ Millisecond generation speed
Pricing:
- Free tier: 100 calls/month
- Pro: $59/mo – 1,000 calls
- Ultra: $299/mo – 10,000 calls
Use Cases:
- Solver benchmarking and testing
- ML training data generation
- Academic research and coursework
- Automated testing pipelines
🔗 Try the API | 📊 See Examples
101 mathematically rigorous SAT instances with full analysis
Free, open-source collection demonstrating what SAT Maker API can produce.
What's Included:
- ✅ 50 SATISFIABLE instances
- ✅ 50 UNSATISFIABLE instances
- ✅ 1 STALL-class instance (extreme difficulty)
- ✅ Interactive HTML viewer
- ✅ Complete solver metrics and analysis
- ✅ 3×3 hardness taxonomy classification
Perfect for:
- Evaluating new SAT solvers
- Educational demonstrations
- Research paper baselines
- Algorithm validation
- SAT Maker API v1.0 launched
- SAT Benchmark Instance Library released (101 instances)
- Interactive HTML viewer
- 3×3 hardness taxonomy
- BYT-WYZE™ trademark secured
- STTF v1.0 specification
- STTF OIS registration
- SAT Maker API v2.0
- Deterministic dataset suites
- Additional SAT analysis tools
- Alternative mathematical generation models
- Expanded API ecosystem
We actively seek collaboration with:
🔬 Researchers — reproducible datasets & academic partnerships
⚙️ Solver Developers — STTF integration & benchmarking
🏆 Competition Organizers — deterministic datasets & trace standards
👥 Contributors — tooling, docs & spec improvements
- 📧 info@byt-wyze.com
- 🌐 https://byt-wyze.com
- 💬 Open an issue
- 🤝 Collaborations welcome
| Component | License | Purpose |
|---|---|---|
| STTF Spec | Open Source | Community adoption |
| Instance Library | MIT | Educational & research |
| Algorithms | Proprietary | Commercial sustainability |
| API Services | API License | Industrial-grade reliability |
- Opaque preprocessing
- Random instances = inconsistent research
- No trace standards
- Static, non-customisable benchmarks
- STTF: transparent preprocessing
- SAT Maker: deterministic generation
- Open standards
- Production APIs
- STTF Specification
- SAT Maker API Docs
- Instance Library Guide
- SAT Competition
- DIMACS Format
General: info@byt-wyze.com
Website: https://byt-wyze.com
API Support: RapidAPI Dashboard
GitHub: https://github.com/Byt-wyze-technology
BYT-WYZE™ Technology
Deterministic APIs for Hard Problems
© 2025 BYT-WYZE™ — Infrastructure for transparent, reproducible SAT research