Skip to main content

    MLOps & LLMOps

    The infrastructure between your model and production. We build deployment pipelines, monitoring, and automation so your team ships models in hours, not months.

    Stop reinventing deployment for every model

    Most ML teams deploy each model as a bespoke project: custom Docker configs, one-off Kubernetes manifests, manual testing. Every deployment reinvents the wheel. The second model takes just as long as the first. And now you're deploying AI agents too. Same problems, higher stakes.

    We build the platform layer that makes deploying the next model or agent trivial. Standardized pipelines, automated testing, canary rollouts, and monitoring that works for every model and agent your team ships. One client went from quarterly updates to weekly after we built their MLOps pipeline.

    What We Build

    Model Containerization & Serving

    We containerize your models with standardized Docker images that handle dependency management, GPU allocation, health checks, and graceful shutdowns. Deploy anywhere: Kubernetes, ECS, or serverless.

    Model Versioning & Registry

    Track every model iteration. Compare performance across versions. Roll back instantly when needed. We set up a model registry that gives your team complete visibility into what's running and why.

    A/B Testing & Canary Rollouts

    Ship new models safely. We build the infrastructure to split traffic between model versions, measure business metrics, and automatically promote or roll back based on real performance data.

    LLM & Agent Orchestration

    We build prompt management systems, agent deployment pipelines, output validation, cost tracking per request, and fallback chains. Deploy and monitor AI agents with the same reliability as your models.

    What You Get

    • End-to-end ML deployment pipelines with one-command rollbacks
    • Model registry with version tracking and performance comparison
    • A/B testing framework for safe production rollouts
    • Automated retraining triggered by drift detection or schedule
    • LLM & AI agent orchestration with prompt versioning and guardrails
    • Cost-per-inference tracking and optimization

    Need custom models built from scratch?

    Explore AI Engineering