ENDE
Let's talk
Let's talk
Work
Let's talk
Language
ENDE

MLOps

We get ML and LLM systems into production and keep them running there, across five phases from development to monitoring.

Compliance runs alongside the whole way, with continuous evidence for GDPR and the AI Act. Operated on Kubernetes, measured end to end.

Get in touchFree AI Discovery Wokrshop

TRUSTED BY TEAMS AT:

  • Deutsche Telekom logo: white stylised letter T on a magenta background
  • Uniper logo in blue, showing the word "uniper" split across two lines.
  • GOLDBECK logo in bold black uppercase letters on a white background
  • PwC logo featuring the lowercase letters "pwc" in black with two orange diagonal shapes above
  • Vattenfall logo with the name in dark grey bold letters and a circle split into yellow upper half and blue lower half on the right
  • Schwarz-produktion logo on a white background reading “SCHWARZ PRODUKTION” in white text inside a dark blue square.
  • Cornelsen logo — white bold wordmark on a red background
  • Meridiam logo with tagline "for people and the planet" in dark green on a white background.

What is MLOps?

MLOps is what takes a model out of the notebook and keeps it working in production. We run it in five phases: development and versioning, data engineering, deployment and CI/CD, infrastructure, and monitoring and maintenance.

The same holds for classic ML as for LLMs and vision-language models. Compliance runs alongside, with continuous evidence for GDPR and the AI Act, so data protection is part of daily operations rather than a scramble before an audit. Operated on Kubernetes, measured with LangFuse.

Model development & versioning

Models, data states, and parameters are all versioned, so a result stays reproducible months later, and when someone else needs to retrace it.

Four colleagues gathered around a table looking at a laptop screen, with a purple flower in the foreground; the woman in the center wears a white 'iits consulting' t-shirt.

Model deployment & CI/CD

The path from model to production runs over CI/CD: reproducible, versioned, and gated by clear approval steps, with no manual deployment to go wrong.

An over-the-shoulder view of a man using a laptop displaying a web interface at a table, with a water bottle and blurred office background.

Model monitoring & maintenance

We monitor quality, availability, and data distribution in operation, and raise the alarm on data or model drift before your users notice. That same monitoring produces the ongoing evidence for GDPR and the AI Act.

A group of colleagues sitting around a table with laptops, smiling and looking off-camera to the right.

Benefits of an iits AI Team

AI is only worth it once it's doing real work, safely, inside the systems you already run. Here's what you get when you build it with us.

Send Inquiry
  • Insights from academia and industryJoint research with TU Dortmund and Fraunhofer IML, with delivered work behind it.
  • Understanding, not voodooWe take you to the right solution step by step, with nothing left to magic.
  • Fits your cloudRobust, lasting solutions that slot into the cloud infrastructure you already run.
  • You stay in controlModern interfaces give you a clear view of what the AI is doing, and the controls to steer it.
  • Transparent metricsHonest numbers on how our models perform, so nothing is taken on faith.

How a model gets into production

  1. Step 01

    Versioning data & model

    Models, data states, and parameters are versioned, so a result stays reproducible months later too.

  2. Step 02

    Automating deployment

    The path from model into production runs over CI/CD, with clear approval steps instead of manual deployment.

  3. Step 03

    Providing the infrastructure

    The services run on Kubernetes. We handle scaling, GPU resources, and the connection to your existing cloud.

  4. Step 04

    Monitoring & maintaining

    We monitor quality, availability, and data distribution, and raise the alarm the moment data or model drift.

Our Work

Deutsche Telekom logo centered on an abstract background of layered magenta, pink, and light-pink curved waves.Software Development
Contract Management System for Broadband ServicesThe development of a central, audit-proof contract management system for fibre rollout, including transparent document storage, deadline tracking and a KPI dashboard.Read the full case study
Blue rounded-square app icon featuring a white stylised document with nested rectangular shapes, centred above a teal wave graphic on a light blue background.Software Development
Web-Based Order Management for Construction SitesThe transformation of an old desktop application into a modern web platform, including functional enhancements.Read the full case study

Areas we support in

MLOps earns its place wherever models have to run reliably, not just once. Here are a few areas where we keep them healthy.

Energy & Utilities

Forecasting and anomaly-detection models kept accurate and monitored in production.

Manufacturing & Logistics

Vision and predictive models running reliably on the line, retrained as conditions change.

Finance & Insurance

Models operated under strict audit and compliance, with full traceability.

Telecommunications

Models serving at scale across the network, monitored for drift and kept compliant.

What we build with.

The stack these systems run on with us.

OPERATIONS & CI/CD
  • Kubernetes
  • GitLab CI
  • vLLM
OBSERVABILITY
  • LangFuse
  • Prometheus
  • Grafana

Let's talk about your operations.

Start with a no-obligation project inquiry, and our team will show you how to get your models into production and keep them running, and compliant.

Get in touchSee our work

AVG. RESPONSE < 1 BUSINESS DAY