Model selection & routing
Compare frontier, open, specialist, and compact models across quality, latency, privacy, and cost.
AI system 03 / 06
Selection / adaptation / evaluationFrontier, open-weight, specialist, and compact models each make different tradeoffs. We benchmark, adapt, route, and operate the combination that performs best for your domain—not the model with the loudest launch.
Why this exists
Complete AI capability / 03
Compare frontier, open, specialist, and compact models across quality, latency, privacy, and cost.
Prompt systems, structured outputs, distillation, adapters, LoRA, supervised tuning, and preference optimization.
Golden datasets, task metrics, rubric judging, adversarial suites, regression gates, and human calibration.
Versioning, tracing, quality monitoring, fallback, cost controls, drift detection, and improvement loops.
Intelligence blueprint
Models, private context, tools, evaluation, human judgment, and infrastructure are designed together. That is how intelligence becomes useful, observable, and uniquely yours.
Engineering sequence / 01—04
Translate domain expertise and consequence into tasks, datasets, metrics, and acceptance thresholds.
Run candidate models and architectures against representative and adversarial evaluations.
Improve the smallest model layer justified by evidence—context, routing, tools, or weights.
Ship behind evaluation gates and monitor behaviour, drift, latency, and economics.
What the intelligence creates
Useful questions
We engineer across leading hosted frontier models, open-weight model families, specialist models, and compact local models. The evaluation decides the combination; the architecture preserves your options.
When a measured baseline shows a persistent behaviour, domain, format, latency, or cost gap that prompting, retrieval, and tools cannot solve sufficiently. We tune against an explicit evaluation—not intuition.
Depending on requirements, we can design provider-isolated APIs, regional processing, private networking, self-hosted open models, local inference, retention controls, and least-privilege retrieval. Exact guarantees depend on the chosen environment and agreement.