
Built by Ahmet Özel
EmlaxAI
A real-estate due-diligence platform combining official cadastral, zoning, risk, mobility, and demographic data in source-traceable parcel reports.
emlaxai.netFounder-led AI engineering
Valnox is a founder-led AI engineering agency that takes RAG, AI agents, computer vision, and MLOps solutions from idea to live operations. We build production systems, not disconnected demos.
Direct founder and technical leadership from strategy to production
What we build
We design data, models, integrations, security, and operations as one production architecture.
View all servicesBuild AI assistants that retrieve permission-filtered evidence and cite sources for verification.
Secure agent systems that use tools, execute workflows, and request human approval.
Turn images, video, and documents into reliable data and operational action.
Infrastructure that deploys, observes, updates, and controls the cost of AI systems.
VALNOX / 02
Proof in production
These products show that Valnox brings hands-on delivery experience across computer vision, RAG, developer tooling, and geospatial AI, not architecture advice alone.

Built by Ahmet Özel
A real-estate due-diligence platform combining official cadastral, zoning, risk, mobility, and demographic data in source-traceable parcel reports.
emlaxai.net
Built by Ahmet Özel
A closed-source Microsoft Store product combining license-plate recognition, OCR, and parking operations in one desktop experience.
plakanet.netValnox Labs · Reference architectures
01REFERENCE ARCHITECTURE · NOT A CLIENT CASE STUDYEnterprise Knowledge System
02REFERENCE ARCHITECTURE · NOT A CLIENT CASE STUDYManufacturing Quality System
03REFERENCE ARCHITECTURE · NOT A CLIENT CASE STUDYAI Operations Platform
Delivery model
We clarify the business goal, users, data, and success metric.
We define the architecture, integrations, and risk plan.
We build a measurable pilot with representative, production-like data.
We launch with security, monitoring, and an operating model.
Valnox Journal

The line is not conversation quality but whether the system can act. Four levels, what changes in architecture, cost and risk.
Read article↗
The decision is not a feature comparison. Who owns the data, who can change the behaviour, and what exit costs.
Read article↗
Readiness is not a maturity score but five concrete conditions that either hold or do not, and how to test each honestly.
Read article↗The first step
We will review your problem, available data, and intended outcome. The first conversation clarifies the right use case and the most practical next step.
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