JS Consulting builds battle-tested, end-to-end ML production pipelines and extreme inference optimization. So your models are fast, cheap, and bulletproof in the real world.
Automated feature store, CI/CD, retraining, canary deployments, and OpenTelemetry traces — all built to survive real traffic.
Extreme speed and cost optimization with quantization, TensorRT/ONNX and batching. Full drift detection, guardrails that keep your models fast and bulletproof.
We focus on only two things and do them exceptionally well: getting models into reliable production quickly and making inference dramatically faster and cheaper.
Feature store → automated pipeline → KServe/Triton → full observability. Your model ships and stays healthy forever.
We shrink your model, accelerate it with TensorRT/ONNX, and serve it intelligently – turning $$$ monthly bills into a rounding error.
Drift detected → model automatically validated and redeployed → no human in the loop, no degrading performance, no nasty surprises.

A model that only runs on one MacBook with a forgotten CUDA version quietly becomes $$$ of dead code the moment the data scientist changes jobs.
We kill that risk on day one with immutable containers, exact dependency pinning, and MLflow registries. So your model survives people, laptops, and time.
Zillow’s $500M loss wasn’t bad code; it was a housing market that moved while the model stood still.
We treat drift as an always-on threat: live statistical monitoring, prediction logging, and automated retraining loops. So performance degradation never stays silent.

One trusted team handles everything. Ffeature store, pipelines, inference optimization, monitoring, and retraining. So you never juggle multiple vendors or patchwork solutions again.
Delivered by a team experienced in real-world MLOps and known for OSS contributions across Google, Meta, and Bloomberg projects.
Your Story Could Be Here.
"We're currently offering a deeply discounted pilot program to select partners in exchange for a video testimonial and case study. Secure your spot and become one of our founding success stories."
No more messy notebooks or 'works on my machine' surprises. We deliver automated, containerized systems and CI/CD pipelines that ship models reliably in weeks, not months.
Use this defined, short-term engagement to validate our specialized MLOps expertise and secure a measurable, high-value win on your most pressing production challenge.
(2-Week Deliverable)
End-to-end implementation of a complex MLOps system (e.g., building a complete, highly-regulated CI/CD pipeline). Starts scope definition.
Kubernetes-native, high-performance tools that let us build, deploy, and optimize production AI at scale.







