Service

MLOps, LLMOps &
Intelligent Automation

We industrialize AI models, generative solutions, and automated processes to turn them into true operational levers.

MLOps and LLMOps

From proof of concept to production

MLOpsLLMOpsAI AgentsAutomation
Our approach

From proof of concept to production

Most AI projects fail not because of model quality, but because of the absence of robust infrastructure to deploy, monitor, and maintain them in production. Bennen Technologies bridges this gap between data science and operations.

We implement MLOps pipelines that allow your data science teams to deploy models to production reliably, reproducibly, and auditably. For LLMs, we manage the complexity of deployment, cost optimization, and governance of generated responses.

Our intelligent automation expertise goes beyond traditional RPA — we integrate AI to handle exceptions, improve accuracy, and create truly adaptive processes.

Key Deliverables

  • Documented and automated MLOps pipelines
  • LLM deployment environment
  • AI monitoring dashboards
  • Model governance framework
  • Complete technical documentation
  • Data science team training
  • Operations runbooks
Our Capabilities

What we deliver

MLOps pipelines and CI/CD for AI models

Implementation of automated pipelines for training, validation, deployment, and monitoring of machine learning models in production.

LLM deployment and monitoring

Deployment of large language models (GPT, Llama, Mistral, etc.) to production, with monitoring of performance, costs, and response quality.

Intelligent process automation

Combination of RPA and AI to automate complex business processes, with exception handling and continuous improvement.

AI agents and multi-agent orchestration

Design and deployment of autonomous AI agents and multi-agent systems for complex use cases requiring reasoning and planning.

Model governance and observability

Implementation of AI governance frameworks: decision traceability, bias detection, explainability, regulatory compliance (AI Act, etc.).

AI optimization and cost reduction

Optimization of AI architectures to reduce inference costs, improve performance, and ensure scalability in production.

Technology Stack

Technologies & Platforms

MLOpsAzure ML
MLOpsMLflow
MLOpsKubeflow
LLMAzure OpenAI
LLMLangChain
LLMLlamaIndex
AgentsSemantic Kernel
AgentsAutoGen
AutomationPower Automate
OrchestrationApache Airflow
MonitoringPrometheus / Grafana
ObservabilityEvidently AI
Passons à l'action

Ready to industrialize your AI?

Let's transform your models and experiments into robust, governed operational solutions.