Building the future with high-performance Rust libraries for scientific computing, artificial intelligence, and quantum computing
Leading the Rust ecosystem in scientific and advanced computing
We develop enterprise-grade, open-source software libraries in Rust, bringing memory safety, performance, and fearless concurrency to scientific computing, AI, and quantum computing domains.
With over 15 million source lines of code across 41 concurrent projects, we maintain one of the largest open-source Rust ecosystems focused on advanced computing solutions.
Tetsuya Kitahata, CEO and principal developer, leads our engineering efforts. All projects are publicly available on GitHub under permissive open-source licenses.
Production-ready libraries powering the next generation of computing
Comprehensive scientific computing and AI/ML foundation in Rust. SciPy-compatible API with Rust's performance, safety, and concurrency capabilities.
Rust-native semantic web platform. Alternative to Apache Jena/Fuseki with SPARQL 1.2 and GraphQL support from the same dataset.
High-performance SMT solver in pure Rust. Reimplements Z3 with ~90%+ feature parity at ~25% codebase size. No C/C++ dependencies.
High-performance numerical computing library inspired by NumPy. Foundation for scientific computing in Rust with ergonomic APIs.
Logic-to-tensor compiler transforming logical rules into tensor equations for neural-symbolic AI. Bridges symbolic reasoning with neural networks.
Quantum computing framework with type-safe circuit design. Supports 30+ qubit simulations with SIMD and GPU acceleration.
Pure-Rust neural speech synthesis framework. High-performance Text-to-Speech (TTS) with VITS, HiFi-GAN, and DiffWave vocoder.
Pure Rust geospatial data abstraction library (GDAL replacement). Read and write raster/vector geospatial formats without C dependencies.
Production-grade pure Rust BLAS/LAPACK implementation. Drop-in replacement for Fortran BLAS with competitive performance.
PyTorch-compatible deep learning framework entirely in Rust. Tensor operations with sharding for distributed training.
Sovereign Media Framework β pure Rust reconstruction of both FFmpeg and OpenCV, unified in a single cohesive framework. Patent-free, memory-safe multimedia processing.
scikit-learn reimplemented in Rust. Combines scikit-learn's intuitive API with Rust's performance and memory safety.
Legal statute parsing and simulation framework. Transforms legal documents into machine-verifiable code while preserving judicial discretion boundaries.
99% Rust port of FFTW3. High-performance Fast Fourier Transform library with near-native FFTW3 performance.
Ultra-lightweight S3 gateway for AI/HPC workloads. Minimal overhead S3-compatible object storage proxy.
Four-layer RAG engine with SMT-based logic verification. Combines vector search, draft speculation, logic verification, and knowledge graphs.
Comprehensive optimization library for ML. Gradient-based, evolutionary, and constrained optimization algorithms.
DataFrame library inspired by pandas. Ergonomic data manipulation and analysis with Rust's performance and type safety.
Inter-Planet File RUST System. Decentralized file storage and retrieval with content-addressable architecture.
Rust-native AGSP for continuous signal streams. Adaptive generalized signal processing framework.
Spin dynamics simulation in magnetic and topological materials. Micromagnetic and atomistic spin simulations.
Binary zero-fluff encoder/decoder. Compact binary serialization with minimal overhead.
High-performance Rust implementation of Hugging Face Transformers. 21+ architectures with 1.35x faster BERT inference.
Memory-safe, high-performance Interactive Theorem Prover (ITP) natively integrated into the Rust ecosystem. Inspired by Lean 4, bringing formal verification to Rust.
The Oxidized Archiver β pure Rust implementation of archive and compression formats with core algorithms implemented from scratch.
Graph-based LLM workflow orchestration platform built in Rust. Compose complex AI applications using DAGs with a type-safe, modular approach.
Production-grade Rust-native tensor stack with generalized contraction, sparse/low-rank mixed execution, and out-of-core processing.
Pure Rust morphological analyzer compatible with MeCab dictionaries (IPADIC format). Japanese text tokenization and analysis.
Production-ready, Celery-compatible distributed task queue library for Rust. Binary-level protocol compatibility with Python Celery.
Pure Rust implementation of TensorFlow. Full-featured machine learning framework with Rust's safety and performance.
Comprehensive solutions across the computing spectrum
Linear algebra, FFT, signal processing, optimization, and numerical integration with SIMD acceleration
Neural networks, transformers, auto-differentiation, and graph processing for production ML
Circuit simulation, quantum algorithms, and hardware integration for quantum applications
SPARQL 1.2, GraphQL, RDF processing with AI-augmented reasoning capabilities
Statute parsing, multi-jurisdiction analysis, and formal verification for legal documents
Satisfiability Modulo Theories solving, interactive theorem proving, proof generation, and formal logic verification
Pure Rust geospatial data abstraction, raster/vector format processing, and coordinate transformations without C dependencies
Neural speech synthesis, adaptive signal processing, and real-time audio/visual stream analysis with cross-platform support
Visit our GitHub organization to see all 40+ projects, contribute, and join our community
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