SaaS teams adding AI features to existing products
AI products that ship.
AI & Machine Learning.
RAG applications, agent workflows, custom chatbots, fine-tuned models and computer-vision systems built on the latest foundation models — engineered for production, not demos.
What is ai & machine learning?
Ship an AI product real users can rely on — with eval, guardrails and cost control built in.
Most agencies ship slick AI demos that fall over in production. At Neticx, every model goes live with eval pipelines, guardrails and a live cost dashboard — engineered for real users, not pitch decks.
Who it's for
Built for these teams.
If one of these sounds like you, AI & Machine Learning is the right starting point.
Enterprises automating support, ops or sales workflows
Founders building AI-native products from scratch
What's included
Everything you need to ship.
Each engagement is fixed-scope. Below is exactly what we deliver.
RAG applications (Pinecone / Weaviate / pgvector)
Agent workflows (LangGraph, CrewAI, custom)
Custom chatbots with persistent memory and tools
Fine-tuning on open-source models (Llama, Mistral, Qwen)
Computer vision (object detection, OCR, ID verification)
Eval pipelines, guardrails, cost monitoring
How we deliver
From scope to production AI.
From scope to production — eval, guardrails, and live cost monitoring.
- 01
Scope & data audit
2–5 days. Use case defined, model selected, data quality checked. Output: architecture doc and fixed quote.
- 02
Prototype
RAG pipeline or agent workflow built in staging. You test accuracy before we move to production.
- 03
Eval & guardrails
Accuracy benchmarked, cost per query optimized. Guardrails added before go-live.
- 04
Production & monitor
Deployed to production with live cost and latency monitoring dashboard. 30-day hyper-care included.
Relevant work
We've built this before.
Real outcomes from clients in the same shape as yours.
Web Development
Cargo Shipment Tracking System
Laravel shipment management platform with admin/employee/client role split — package tracking, AI invoice validation, WhatsApp status updates, payments and a missing-package reporting flow.
AI/ML
RAG Knowledge Assistant for Insurance Ops
Built a Claude-powered RAG assistant over 12,000 policy documents — cut underwriter research time by 71% with full citations and a live cost dashboard.
AI/ML
Microtree — AI Report & Synopsis Generator
PHP + OpenAI platform that turns Word templates into fully formatted academic reports — parallel GPT calls and direct OOXML injection produce a finished .docx in under two minutes.
Related insights
Further reading from the team.
Essays and case write-ups that support this service.
AI/ML
How We Built an AI-Powered Invoice Validation System for a Caribbean Cargo Company
Manual invoice checks were slowing a Caribbean freight operator and letting under-declared values slip through. Here is how we built AI invoice validation into their cargo management system — with automated checks and real-time customer alerts.
Read articleAI/MLWhy Logistics Companies Are Finally Letting Go of Manual Invoice Checks
A Caribbean cargo company was spending 10 minutes on every invoice. Here's what changed — and why more shipping businesses are making the same move.
Read articleAI/MLRAG or Fine-Tuning? A 2026 Decision Framework
The honest tradeoffs between retrieval-augmented generation and fine-tuning — and a simple flowchart for picking the right one for your use case.
Read articleAI/MLAI Agents for Customer Support: What Works in 2026
After deploying support agents across a dozen products, here is the architecture that actually deflects tickets — and where customers still want a human.
Read articleFAQ
Buyer questions, answered.
If yours isn't here, WhatsApp us — we usually reply within an hour.
Ready to start
Talk to an AI engineer for ai & machine learning.
Tell us about your project. We'll come back with a fixed-scope quote within 24 working hours.