AI Development That Ships to Production

RAG pipelines. LLM integrations. AI agents. MLOps. Built for real products, not demos.

Most AI projects stall between prototype and production. The model works in a notebook. It breaks under real traffic. It hallucinates in front of clients. We build AI systems that survive contact with production: evaluated, monitored, cost-controlled, and maintainable by the team that inherits them.

No prototypes. No demos. Production AI only.

What Makes an AI Project Succeed in Production?

Not the model - the infrastructure around it. A RAG pipeline without RAGAS evaluation is a hallucination waiting to happen. An LLM integration without cost monitoring is a $50k invoice waiting to arrive. We build evaluation, monitoring, cost control, and safety as part of the first sprint, not the last.

At Valletta Software, we focus on two things:

Evaluate before shipping: RAGAS metrics, golden datasets, LLM-as-judge on every AI feature - hallucination prevention from day one.

Monitor and cost-control by default: LangSmith tracing, model tier routing, semantic caching - production AI that does not surprise you with a $50k invoice.

What We Build

Every engagement maps to a specific AI capability. No generic AI consulting.

We don't just integrate AI - we architect, evaluate, deploy, and monitor it in production so it holds up under real traffic.

RAG Pipelines - hybrid search reranking RAGAS evaluation hallucination prevention

LLM Integration - OpenAI Anthropic Claude open-source streaming cost control prompt versioning

AI Agents - tool use planning loops memory guardrails audit logs OpenClaw framework

MLOps - MLflow SageMaker drift monitoring retraining pipelines model registry

Fine-Tuning - dataset curation LoRA QLoRA evaluation framework domain-specific models

AI in Product - support bots CRM AI document processing workflow automation recommendation engines

You stay in control. We handle hiring, contracts, and HR. You direct the work.

EU-incorporated in Malta - NDA on day one, full GDPR compliance. Trusted by startups and enterprise teams across 12+ industries.

View AI Success Stories

Write boilerplate scaffolding and test cases automatically - ship features faster

Evaluate LLM output quality on every commit - no regression reaches production

Monitor cost per session and model drift in real time - no surprise invoices

Deploy with proper MLOps - versioned models evaluation gates CI pipelines

AI-First Development - Our Proprietary Methodology

We don't integrate AI as an afterthought. We build with it from the first line of code.

Our engineers work daily with Claude Code, Cursor, LangSmith, and the OpenClaw agent framework - shipping production AI features, not just prototypes.

From a first RAG prototype to a 100k-user product - we build the AI that survives contact with production.

Let's keep it simple.

AI built right: evaluated, monitored, cost-controlled. Our AI engineers have shipped production RAG pipelines, LLM integrations, and AI agents - evaluated and monitored from day one.

How we work