Products &
Systems Tooling
We build technology with mechanical sympathy, software that flows with the physics of your hardware rather than fighting it.
CATEGORY 1: GenAI Systems
GenAI Systems
Building the foundational retrieval architectures that feed real-world AI.
Hardware-Aware Vector Semantic Search
The Pain
Standard vector databases are crippled by software locks (mutexes) and random disk I/O. When thousands of concurrent users search your data, traditional systems accidentally invalidate CPU cache lines (false sharing), causing massive performance delays and server costs.
The Solution
Built on open-source USearch, our engine abandons traditional locks entirely. We use atomic hardware instructions (like CMPXCHG and XADD) for lock-free bitwise traversal, flat pre-allocated memory tapes, and 'striped locks' separated by 128-byte memory padding to perfectly protect CPU cache lines.
The Result
A raw search time of just 2.72 milliseconds. This delivers an astounding 189x to 260x speed advantage over industry standards like FAISS.
RAG Frameworks
The Pain
Generative AI is only as powerful as the context it retrieves. Slow or inaccurate retrieval bottlenecks the entire Large Language Model (LLM) response.
The Solution
We deploy high-scale Retrieval-Augmented Generation (RAG) systems integrating FAISS, Chroma, LangChain, and advanced multimodal retrieval.
The Result
Highly accurate, context-aware custom LLMs and SLMs (Small Language Models) built for real-world production workloads.
CATEGORY 2: Core Systems Tooling
Core Systems Tooling
You cannot fix a hardware bottleneck you cannot see. Diagnostic tools for kernel-level visibility.
Stillwaters Tracerunner
The Pain
Traditional profiling only shows high-level software logs, leaving engineers blind to what is actually stalling the GPU at the hardware level.
The Solution
Real-time GPU observability via eBPF to PTX JIT.
The Result
Microsecond-level visibility into CPU–GPU behavior, allowing teams to surgically diagnose runtime bottlenecks exactly where they happen.
Microbenchmarking Suite
The Pain
Relying on broad performance metrics leads to guessing where compute cycles are evaporating.
The Solution
Elite performance tooling designed to analyze the deepest layers of execution.
The Result
Pinpoint exact warp divergence, memory conflicts, and GPU occupancy issues so you can optimize directly at the silicon level.
CATEGORY 3: Serving Infrastructure
Serving Infrastructure
Deploying models at scale without bankrupting your infrastructure budget.
Optimized LLM Serving Stacks
The Pain
When models work but systems don't scale, cost and latency decide the outcome of your business.
The Solution
High-throughput, low-latency inference architecture using heavily optimized frameworks like Triton, vLLM, and TGI. We execute deep-tech optimization across prefill/decode, KV-caching, batching, and speculative decoding.
The Result
Measured production outcomes yielding a 20–60% inference cost reduction, 2–5x throughput improvement, and 30% faster latency compared to standard cuBLAS baselines.
CATEGORY 4: Thought Leadership & Labs
Thought Leadership & Labs
Rewiring how engineers think about AI system architecture.
Chip Optimization Lab
The Pain
Standard coding abstracts the hardware away, leaving engineers unaware of performance realities at the silicon level.
The Solution
An exploratory learning lab focused entirely on hardware-aware computing and systems thinking.
The Result
Engineers who understand how to exploit CPU caches, GPU kernels, and memory hierarchies to build the fastest systems.
Meditating with Microprocessors
The Pain
To build the fastest systems, you must understand raw access times and memory architecture—but this knowledge is rarely taught.
The Solution
A sister exploratory learning program pushing engineers to think in terms of 'mechanical sympathy'—designing code that perfectly aligns with the physics of the microprocessor.
The Result
A deep, intuitive understanding of microprocessor behavior enabling teams to build systems that flow with hardware physics, not against it.
Get Started
Ready to build systems with mechanical sympathy?
Let's discuss how to architect AI systems that exploit hardware physics instead of fighting it. Our team specializes in building production-grade tooling for performance-critical AI environments.