AI-native infrastructure for high-performance systems
We build autonomous systems in Rust, Go, and Python—from high-frequency trading engines to GPU-accelerated ML pipelines. Battle-tested infrastructure processing billions of transactions.
Battle-tested systems that deliver results
Uptime SLA
Orders/sec capacity
Autonomous operation
High-frequency trading & fintech infrastructure
Rust-based order matching engines processing 100k+ orders/sec. Ultra-low latency systems with tick-to-trade optimization and FPGA integration.
- Trading engines in Rust with sub-millisecond latency
- Risk calculators and Monte Carlo simulations in C++
- Real-time market data processors with Kafka streaming
- Compliance-ready KYC/AML with regulatory automation
Blockchain protocols built in Rust
Solana smart contracts with Anchor framework, Substrate pallets, and custom consensus algorithms. Memory-safe, zero-cost abstractions for on-chain logic.
- Solana programs with Anchor framework in Rust
- Substrate pallets for custom blockchain networks
- DeFi protocols with Web3.py and ccxt integrations
- Cross-chain bridges and tokenization platforms
GPU-accelerated ML infrastructure
NVIDIA CUDA kernels, TensorRT optimization, and Triton Inference Server for production ML. From LLM fine-tuning to real-time inference at scale.
- LLM fine-tuning with Hugging Face and LangChain
- RAG systems with LlamaIndex and Pinecone vectors
- CUDA/cuDNN for GPU-accelerated deep learning
- TensorRT for 5-10x inference speedup
Cloud-native microservices at scale
Go and Rust microservices on Kubernetes with Istio service mesh. Infrastructure as Code with Terraform, GitOps with ArgoCD, 99.99% uptime SLA.
- Go microservices with Gin/Echo and gRPC
- Kubernetes (EKS/GKE) with Helm and Istio
- PostgreSQL, MongoDB, Redis, and DynamoDB
- Prometheus, Grafana, and DataDog monitoring
WebSocket & event-driven architectures
Node.js and Go backends for real-time applications. Socket.io, Redis pub/sub, and NATS for sub-millisecond message delivery.
- Next.js 14+ with React 18 and TypeScript
- Real-time with Socket.io and Server-Sent Events
- Event streaming with Kafka and Redis Streams
- Serverless on AWS Lambda and Cloudflare Workers
GPU-accelerated data pipelines
RAPIDS ecosystem for pandas/sklearn on GPU. Real-time ETL with Spark, distributed task queues with Celery, and BigQuery analytics.
- cuDF and cuML for GPU data science (RAPIDS)
- Python data pipelines with Pandas and NumPy
- Real-time stream processing with Kafka
- FastAPI for ML model serving at scale
Three pillars of excellence
Innovation DNA
Pioneering AI-native architectures with production-grade LLM pipelines, multi-agent orchestration, and autonomous systems that operate 24/7 without human intervention.
Resilience Engineering
99.99% uptime SLA with self-healing infrastructure, multi-region failover, security-first architecture, and battle-tested systems processing billions of transactions.
Scalability Expertise
Cloud-native from day one with microservices that handle 10x traffic spikes, distributed systems built in Rust and Go for maximum performance.
Technology Stack
Rust, Go, Python, Node.js, and CUDA—we choose the right tool for each challenge. From HFT engines to GPU-accelerated ML inference.