Moneo
Moneo
AI SearchEnd-to-End AI Engineering, Built for Production
Our AI and ML engineers build intelligent systems that go beyond prototypes. We design, train, and deploy machine learning models and LLM-powered applications that deliver measurable business value in production environments.
From natural language processing to computer vision, from RAG pipelines to custom model fine-tuning, we handle the full lifecycle of AI engineering with a focus on reliability and scalability.
Who It's For
Product teams looking to integrate AI capabilities, companies building LLM-powered applications, and organizations that need ML pipelines running reliably in production.
Let's Talk About Your Project
Tell us what you need and we'll get back to you within 24 hours.
AI/ML Engineering That Ships
AI/ML Systems Built for Production
We go beyond notebooks and demos. Every model we build is packaged, monitored, and deployed with production-grade infrastructure.
Modular, Scalable Pipeline Architecture
Our ML pipelines are built as modular components that can be scaled, swapped, and extended independently as your requirements evolve.
Well-Structured Data and Model Flows
Clean data in, reliable predictions out. We design data flows that maintain quality and traceability from ingestion to inference.
LLM Integration and RAG
We integrate large language models into your products with retrieval-augmented generation, prompt engineering, and guardrails that keep outputs accurate and safe.
Data Pipeline Engineering
We build robust data pipelines that collect, clean, transform, and serve data to your models. From batch processing to real-time streaming, we handle it all.
MLOps and Model Lifecycle
We set up the infrastructure for continuous training, evaluation, and deployment of your models. Version control, experiment tracking, and automated retraining included.
Technologies and Patterns
We Work With
We work across the full AI/ML spectrum, from classical machine learning to cutting-edge generative AI.
Large Language Models and RAG
We build applications powered by GPT, Claude, and open-source LLMs with retrieval-augmented generation for accurate, context-aware responses grounded in your data.
Computer Vision
From object detection to image classification, we build computer vision systems that process visual data at scale using frameworks like PyTorch and TensorFlow.
Natural Language Processing
We implement NLP solutions for text classification, sentiment analysis, named entity recognition, and semantic search that understand language in context.
MLOps and Model Serving
We deploy models with MLflow, Kubeflow, or custom serving infrastructure that supports A/B testing, canary rollouts, and real-time inference at scale.
Vector Databases and Embeddings
We leverage Pinecone, Weaviate, Qdrant, and pgvector to build semantic search and retrieval systems that power recommendation engines and knowledge bases.
Fine-Tuning and Custom Models
When off-the-shelf models are not enough, we fine-tune foundation models on your data to achieve domain-specific performance that generic models cannot match.
Services That Complement
AI/ML Engineering
Explore our service offerings that pair naturally with AI and machine learning projects.
On-demand Projects
Build an AI-powered feature or a complete ML product from concept to deployment.
Software Consulting
Get expert guidance on your AI strategy, model selection, and infrastructure decisions.
Startup Kickstart
Launch your AI-first product with the right architecture and engineering from day one.
Real results from teams we've helped
ship AI to production.
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