Your AI in production.
Fast, cost-efficient, and drift-proof.
Krylox engineers MLOps pipelines and optimizes inference, then hosts your models on our own GPU fleet, billed by the day.
Specialist MLOps engineering.
Every layer of the production stack.
Inference Optimization
Your models leave latency on the table. We recover it through quantization, pruning, kernel fusion, and intelligent batching.
Most production failures
aren't technical.
Zillow lost $500M, not because of bad code, but because a market moved while the model stood still. The gap between research and reliable production is a strategy problem, not a syntax problem.
Krylox closes that gap. The same practices that run ML at Google and Meta, applied to your stack.
What separates us
from generalist agencies.
MLOps and inference optimization is a narrow, technically demanding domain. Most agencies don't go near it.
Google, Meta, Bloomberg. We've shipped ML infrastructure at scale. Same standards, smaller team, more attention.
BYOC and BYOM, we deploy within your AWS, GCP, or Azure environment, or host on our own GPU fleet. We optimize whatever framework you're running. No migration required.
Every system we build uses open standards. No proprietary wrappers, no mandatory subscriptions, no dependencies that require us to stay involved. You own the code and the pipeline.
Every engagement begins with a baseline and ends with measured results. Up to 10× inference improvement and up to 60% cost reduction, grounded in benchmarks and our team's production experience.
Every engagement ends with complete documentation, team walkthroughs, and runbooks. We measure success by how little you need us after we leave.
From audit
to live production.
We profile your stack, latency, cost, and pipeline bottlenecks, then tell you exactly what to fix first and what it's worth.
A prioritized technical plan: tooling decisions, milestones, and cost-benefit analysis. You know exactly what we're building and why.
Krylox owns and executes the full technical build — optimisation, automation, monitoring setup. Your team provides context, access, and feedback. We do the engineering.
Full documentation, team walkthroughs, and runbooks. You own the system completely, with the confidence to run it independently.
Your model. Our GPUs.
You pay for what you use.
No reserved instances. Deploy your optimized model on Krylox infrastructure, plans start from a single day.
We compress and optimize your model for maximum throughput on our GPU fleet, up to 10× faster than a naive deployment.
Your model runs on our managed GPU fleet with auto-scaling, load balancing, and 99.9% uptime SLA, all handled by Krylox.
A simple REST or gRPC endpoint. Plans start from a single day, pay only for what you use, no surprise bills.
No AWS/GCP accounts, IAM roles, VPCs, or reserved instances to manage. We handle all infrastructure operations.
Plans start from a single day. No contracts to renegotiate, no capacity to reserve upfront.
Our fleet is tuned for ML inference, not general compute. Your model runs on hardware selected and configured specifically for it.
Live monitoring, automatic failover, and Krylox on-call for any incident. Production reliability is our responsibility.
The tools in our production stack.
What clients ask before engaging.
Krylox LLP is a specialist MLOps and AI inference optimization engineering firm. We help technical startups and enterprises ship ML models that are fast, cost-efficient, and reliable in production, handling everything from pipeline design to live drift monitoring. We also host models on our own GPU fleet.
No. We operate on BYOC (Bring Your Own Cloud) and BYOM (Bring Your Own Model) principles. We deploy within your existing AWS, GCP, or Azure environment and optimize whatever framework you're running, PyTorch, TensorFlow, JAX, or fine-tuned LLMs.
A discovery audit takes approximately 2 weeks and delivers a full optimization roadmap. A full implementation, pipeline build, inference optimization, monitoring setup, typically runs 4 to 6 weeks. Embedded engineering engagements are flexible and ongoing.
Yes, completely. Every system we build uses open standards with no proprietary dependencies. You receive full source code, documentation, runbooks, and team walkthroughs. We measure success by how little you need us after we leave.
Krylox operates globally with active clients across EMEA, UAE, India, and the United States. We work across time zones without friction.
Let's talk.
Share your stack, pain points, and goals. We'll reply within 24 hours.