Engineered Intelligence Systems
ML infrastructure, built to specification.
We design and deploy machine learning systems for organizations with hard technical problems and no appetite for guesswork. Custom pipelines, dedicated compute, measurable outcomes — delivered as a service so you don't have to build the team.
What We Build
Data Pipeline Architecture
We build ingestion systems that take unstructured inputs — documents, images, feeds, archives — and produce structured, queryable intelligence at scale.
Large-Scale Inference
Production inference infrastructure sized to your workload. Low-latency serving, batch processing across GPU clusters, and optimization for cost-per-query at volume.
Custom Model Development
Task-specific models trained, fine-tuned, and validated against your data. Not off-the-shelf wrappers — purpose-built systems that solve the actual problem.
Automated Intelligence Systems
End-to-end automation that connects extraction, analysis, and delivery into a single operational loop. Systems that run unattended and surface what matters.
How we work
We scope precisely, build in weeks not quarters, and hand over systems — not slide decks. Every engagement starts with a hard technical assessment and ends with infrastructure you own.
Precision
Every engagement begins with a rigorous scoping process. We define what "done" looks like before we write a line of code.
Velocity
Small teams, deep expertise, minimal overhead. We ship production systems on timelines that would surprise you.
Ownership
You get the system, the documentation, and the knowledge transfer. We build to hand off, not to create dependency.
50,000+
GPU-hours deployed
<100ms
inference latency
1M+
documents processed