Production AI,
Faster & Cheaper.
Battle-tested, end-to-end MLOps services and extreme inference optimization. We specialize in making production AI models fast, cheap, and reliable at any scale.
faster inference
cost reduction
End-to-end AI engineering services
From prototype to production-grade systems, we cover the full spectrum.
Extreme Inference Optimization
Achieve drastic speed and cost optimization for AI models using quantization, TensorRT/ONNX, and intelligent serving strategies.
End-to-End MLOps Pipelines
Building automated feature stores, CI/CD for ML, retraining loops, canary deployments, and full observability for production models.
Data Drift & Silent Failure Protection
Implementing live statistical monitoring, prediction logging, and automated validation and redeployment pipelines.
Reproducibility Debt Elimination
Containerizing ML systems with immutable containers and exact dependency pinning to eliminate deployment risks and inconsistencies.
Built by engineers, for engineers
We don't just advise. We embed with your team, write the code, and own the outcome. Every engagement is hands-on and results-driven.
Deep Technical Expertise
Our team has shipped production ML systems at scale. We know the difference between benchmark performance and real-world reliability.
Fast Time-to-Value
No endless discovery phases. We audit your stack, build a plan, and start delivering in the first week.
Built to Scale
Every solution is designed for growth, from single-model deployments to multi-tenant serving infrastructure.
Global Coverage
Serving clients across EMEA, UAE, and India with enterprise SLAs and timezone-appropriate support.
$ krylox audit --stack production
Analyzing inference pipeline...
Checking drift monitors...
Scanning container configs...
⚠ Latency p99: 480ms (target: 50ms)
⚠ No drift monitoring detected
⚠ Reproducibility score: 3/10
Generating optimization plan...
✓ TensorRT: estimated 8x latency reduction
✓ INT8 quantization: 4x memory saving
✓ Drift alerts: ready to configure
$ krylox optimize --apply
Deploying optimized serving stack...
✓ Done. Latency p99: 52ms
latency reduction
cost saved
From audit to production in weeks
A no-nonsense engagement model with clear milestones and full transparency.
Audit
We perform a deep technical audit of your ML infrastructure: serving stack, pipelines, monitoring, and reproducibility posture.
Architect
We design a targeted optimization plan with clear milestones, technology choices, and expected outcomes. No fluff.
Deploy & Hand Off
We implement everything, run load tests, set up alerting, and transfer full ownership to your team with documentation.
Core Technologies
Ready to scale your AI?
Let's talk about your ML infrastructure. We'll identify the biggest bottlenecks and show you exactly how to fix them, for free.
Serving clients across EMEA · UAE · India