Financial data, without the bottleneck.
Rebuilding a market-data pipeline for throughput, predictable latency, and zero dropped events.
Deep technical work.
Carefully considered. Built to last.
We are a small practice of senior engineers. We work where the questions are difficult, the constraints are real, and the quality of the answer matters. AI, applications, systems, algorithms: different disciplines, the same care.
We read the problem before prescribing the stack. We measure before optimizing. And we stay close to the work, from the first architectural decision to the details that make it dependable.
Meet the studioRetrieval, agents, model integration, and evaluation. We build the surrounding system as carefully as the model at its center.
Web, mobile, desktop, and command-line applications. We choose the stack for the problem, then carry the work from the first interface to deployment.
High-performance services, distributed systems, and the infrastructure behind them. Explicit trade-offs, measured performance, and clear operational ownership.
Graph, geometry, numerical, and combinatorial problems inside real products. We model the constraints, establish correctness, and measure the improvement.
Architecture reviews, technical audits, and fractional CTO engagements. A practical diagnosis, an honest view of risk, and a plan your team can execute.
Rebuilding a market-data pipeline for throughput, predictable latency, and zero dropped events.
A retrieval and extraction system that makes room for human judgment where it matters.
From autocomplete to autonomous agents: a framework for choosing the right level of delegation.
Strip away the ceremony. Make the domain model the code itself.
Monoliths, microservices, and the constraints that should actually decide between them.