Services
AI harness services
Architecture, context, orchestration, and execution designed around enterprise workloads.
Token optimization
Shape context, reuse stable inputs, and route work deliberately. Optimize consumption without losing sight of response quality.
Latency engineering
Trace the whole request path. Improve retrieval, scheduling, tool execution, and streaming together.
Context & memory
Build memory that is selected, attributable, and maintained. Connect working state with useful long-term knowledge.
Agent orchestration
Give agents clear responsibilities, bounded tools, and shared execution state. Keep delegation understandable.
Data integration
Bring databases, documents, and internal APIs into a permission-aware execution layer built around your systems.
Inference scaling
Design queues, compute, and concurrency around demand. Treat execution capacity as a system-level concern.
Evaluation & reliability
Build evaluation, tracing, and human feedback into the harness. Know what changed and why it matters.
One system.
Connected decisions.
These capabilities work together. A caching decision changes freshness. Parallel execution changes failure behavior. Memory design changes retrieval quality.
We design the relationships between layers around your specific workload.
LET’S WORK THROUGH IT
Bring us your workload.
Start with your requirements, data, and definition of a good result.