aalgo designs, builds and runs the platform under your product and the language models inside it: clusters described entirely in git, models served on your own GPUs or through APIs, and the pipelines that ship both, safely, every day.
LLMs on Kubernetes See the workA platform your team can trust: reproducible from git, secure by default, and boring to operate.
Every workload, setting and version lives in git and is reconciled by Argo CD.
Workloads that scale to N replicas and pass security gates before they reach the cluster.
See what the platform does, and know before your users do.
Language models doing real work in real products, with quality, cost and safety under control.
Open models on your own infrastructure, when data must stay in-house or volume makes APIs expensive.
Claude, OpenAI and others, integrated behind your own interfaces so you can switch.
From prototype to something you can measure and trust.
Where the two meet: models run as first-class, observable, scalable services of your platform.
GPU node pools, scheduling and quotas so inference and the rest of your workloads share the cluster fairly.
Model servers deployed with Helm and GitOps like any other app: versioned, reviewed, rolled out and rolled back.
LLM work behind queues and workers with retries and idempotency, so a slow model never blocks a request.
Latency, throughput, token cost and errors on the same dashboards as the rest of the platform.
A multilingual marketplace, built from scratch and run on Kubernetes, with LLM workers at its core.
Need a platform built, an existing cluster brought under control, or an LLM feature taken from demo to production? aalgo works with in-house teams and early-stage products across Europe.