# MLOps

[MLOps](https://iits-consulting.de/en/services/ai-machine-learning/mlops)

## 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 touch](https://iits-consulting.de/en/contact/index.md)

[Free AI Discovery Wokrshop](https://iits-consulting.de/en/ai-discovery-workshop/index.md)

Our Technology Partners

## TRUSTED BY TEAMS AT:

Deutsche Telekom

Uniper

GOLDBECK

PwC

Vattenfall

Schwarz Gruppe

Cornelsen

Meridiam

## 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.

### 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.

### 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.

## 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.

### Insights from academia and industry

Joint research with TU Dortmund and Fraunhofer IML, with delivered work behind it.

### Understanding, not voodoo

We take you to the right solution step by step, with nothing left to magic.

### Fits your cloud

Robust, lasting solutions that slot into the cloud infrastructure you already run.

### You stay in control

Modern interfaces give you a clear view of what the AI is doing, and the controls to steer it.

### Transparent metrics

Honest numbers on how our models perform, so nothing is taken on faith.

[Send Inquiry](https://iits-consulting.de/en/contact/index.md)

## How a model gets into production

### Versioning data & model

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

Step 01

### Automating deployment

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

Step 02

### Providing the infrastructure

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

Step 03

### Monitoring & maintaining

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

Step 04

## Our Work

[Fibre Rollout Contract Management for Broadband Services](https://iits-consulting.de/en/portfolio/fibre-rollout-contract-management-for-broadband-services/index.md)

The development of a central, audit-proof contract management system for fibre rollout, including transparent document storage, deadline tracking and a KPI dashboard.

[Web-Based Order Management for Construction Sites](https://iits-consulting.de/en/portfolio/web-based-order-management-for-construction-sites/index.md)

The transformation of an old desktop application into a web-based construction order management system, including functional enhancements.

[View all](https://iits-consulting.de/en/our-work/index.md)

## 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 touch](https://iits-consulting.de/en/contact/index.md)

[See our work](https://iits-consulting.de/en/our-work/index.md)

AVG. RESPONSE \< 1 BUSINESS DAY