We build AI that actually answers.
Custom AI agents, RAG systems and computer vision, grounded in your data, measured before launch and supported after it. Try it below.
A scripted demo of the kind of grounded, cited assistant we build for clients.
AI Cortexo is an AI engineering studio. We build production AI agents, RAG pipelines and computer vision systems for teams worldwide, working remotely in English and in your timezone.
AI that runs inside your business.
Four kinds of systems, each built around your data and connected to the tools your team already uses.
Agents that do the work, not just talk about it.
Autonomous AI workers for support, sales and operations. They use your tools, follow your rules and hand off to a person when they should.
- Multi-agent orchestration with tool use
- WhatsApp, Telegram, voice and web channels
- Guardrails, audit logs and human handoff
Answers from your data, with the receipts.
Retrieval-augmented assistants that search your documents, cite every claim and refuse instead of making things up.
- Hybrid search, reranking and citations
- Evaluation harnesses before launch
- Private deployments with local models
Vision systems that know when they're unsure.
Defect inspection, number-plate recognition, medical imaging and vision-language models, with calibrated confidence so people know which results to review.
- YOLO, SAM and custom ViT/VLM models
- Uncertainty and conformal coverage
- Edge, GPU and cloud deployment
Automation and ML that pay for themselves.
n8n and serverless workflows, predictive models with explainable outputs, and self-hosted LLM deployments tuned for cost.
- n8n, AWS Lambda and event-driven pipelines
- Interpretable ML with SHAP
- Ollama and GPU optimization
Shipped, measured, live.
AIP — Agentic Infrastructure Platform
Deploy autonomous AI workers for support, sales and operations, with visual workflows and no code.
Uncertainty-Aware Dental X-ray Detection
YOLO26 fine-tuned on DENTEX, reporting how far each finding can be trusted, not just a bare bounding box.
Periodontitis Risk Prediction
Interpretable ML on NHANES that predicts gum-disease severity and explains each factor with SHAP.
Retrieval-Augmented Patient Assistant
Grounded QA for a dental clinic that cites every factual sentence and refuses when the sources don't cover the question.
Custom VLM Enterprise
A vision-language model built from scratch, with captioning, visual QA and attention maps.
Enterprise AI Agents
WhatsApp and Telegram agents connected to CRM and enterprise systems through n8n.
From idea to production in three steps.
Talk it through
A free call to map your use case and data. We'll tell you honestly whether AI is the right fit.
Day 0 · freeProve it works
A feasibility review, ROI estimate and fixed-scope quote, then working demos every sprint.
Weeks 1–8Ship & support
Evaluated, deployed and monitored, with documentation and training so your team owns it.
Launch and beyond
Ready for your own?
Book a session with our AI engineers to see how this applies to your workflow.
- Use-case analysis
- Technical feasibility review
- ROI & cost estimate
Good questions, straight answers.
How much does a custom AI solution cost?
Every project is scoped to your needs, so pricing varies. Most engagements start with a free consultation where we assess your use case and provide a fixed-scope quote. Chatbot and automation projects typically start in the low four figures, while enterprise RAG and computer vision systems are quoted after a technical feasibility review. Our clients typically cut operational costs by up to 60%.
How long does it take to build and deploy an AI system?
A production-ready chatbot or automation workflow can be delivered in 2–4 weeks. Larger RAG pipelines, multi-agent systems and computer vision deployments generally take 6–12 weeks depending on data readiness and integration complexity. We work in agile sprints, so you see working demos early and often.
What's the difference between a chatbot and a RAG system?
A standard chatbot answers from a fixed script or a general language model. A RAG (Retrieval-Augmented Generation) system connects the model to your knowledge base (documents, databases and internal tools), so answers are accurate, up to date and grounded in your own data. If you need the AI to know your business specifically, you want RAG.
Do you work with businesses outside your country?
Yes. AI Cortexo works with clients worldwide and delivers projects fully remotely. We collaborate over your preferred channels and align to your timezone for meetings and support. All communication is in English.
Will the AI solution integrate with our existing tools?
Yes. We build integrations with the tools you already use: CRMs, WhatsApp, Slack, databases, cloud platforms (AWS, GCP, Azure) and custom internal software via APIs. Our automation work is designed to fit into your existing stack, not replace it.
Do you provide ongoing support and maintenance?
Yes. We offer ongoing support, monitoring and optimization packages so your AI systems stay accurate and performant as your data and needs evolve. We also provide documentation and optional team training so your staff can operate the system confidently.
Let's build your AI system.
Tell us about your project. You'll get a free consultation within 24 hours.