Production AI. Done Properly.

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.

End-to-End ML Pipeline

Automated feature store, CI/CD, retraining, canary deployments, and OpenTelemetry traces — all built to survive real traffic.

Model & Inference Optimization

Extreme speed and cost optimization with quantization, TensorRT/ONNX and batching. Full drift detection, guardrails that keep your models fast and bulletproof.

Why Choose Us

Production AI Without the Headache

We focus on only two things and do them exceptionally well: getting models into reliable production quickly and making inference dramatically faster and cheaper.

From notebook to fully monitored production in weeks

Feature store → automated pipeline → KServe/Triton → full observability. Your model ships and stays healthy forever.

Drastically faster inference and significantly lower costs

We shrink your model, accelerate it with TensorRT/ONNX, and serve it intelligently – turning $$$ monthly bills into a rounding error.

Zero silent failures with automated retraining and drift protection

Drift detected → model automatically validated and redeployed → no human in the loop, no degrading performance, no nasty surprises.

reproducibility debt
Reproducibility Debt Kills

It works on my machine

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.

Most production failures aren’t bugs

Data Drift & Silent Degradation

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.

drift and degradation
Beyond the First Model

Single Partner, Total Coverage

One trusted team handles everything. Ffeature store, pipelines, inference optimization, monitoring, and retraining. So you never juggle multiple vendors or patchwork solutions again.

Extreme Inference Optimization for Speed

GPU Bill Reduction

Latency Guarantees through Performance Testing

Proactive Data and Concept Drift Protection

Automated Failure Detection & Retraining Loops

End-to-End Observability & Diagnostics

The Team

Built by Experienced Team

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."

Pricing Table

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.

The Productized Pilot

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.

$999

(2-Week Deliverable)

Standard
Custom Scope Project

End-to-end implementation of a complex MLOps system (e.g., building a complete, highly-regulated CI/CD pipeline). Starts scope definition.

Tech Stack we Master

Kubernetes-native, high-performance tools that let us build, deploy, and optimize production AI at scale.

Kubeflow
Deep Checks
KitOps
ONNX
OpenTelemetry
Arize
Kserve
Feast

Recent posts

Tell Us What You’re Building

Fix Your Production Reality

Show us the pain point. Whether it’s scaling, latency, drift, or chaos, we’ll guide you out.

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