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Overview

Korvax’s AI development practice brings together specialized AI software developers, ML engineers, and applied scientists to deliver production AI across machine learning, deep learning, NLP, and LLM development.

Whether you need machine learning development services for a predictive model, LLM development services for a domain-specific assistant, NLP development services for unstructured text understanding, or full-stack AI model development across the lifecycle — our AI engineering services cover every layer.

What We Deliver

Our AI development services span the full stack — data, models, applications, and infrastructure.

We deliver:

AI software developers embedded into your team or delivering full project ownership
Machine learning development services for prediction, classification, and recommendation
AI engineering services covering architecture, data pipelines, models, and infrastructure
Deep learning development services for vision, audio, and complex pattern problems
LLM development services including fine-tuning, distillation, RAG, and agent design
NLP development services for entity extraction, classification, summarization, and generation
AI model development end-to-end — data prep, training, evaluation, deployment, monitoring
Predictive AI development for forecasting, scoring, and risk modeling

Disciplines We Cover

Different problems require different AI disciplines. We bring all of them under one roof.

Machine Learning — Tabular prediction, classification, clustering, recommendation systems.
Deep Learning — Computer vision, speech, sequence modeling, complex pattern recognition.
NLP — Entity extraction, document classification, summarization, intent detection, multilingual processing.
LLM Engineering — Fine-tuning, distillation, RAG, prompt engineering, agentic systems, evaluation pipelines.
Predictive AI — Forecasting demand, churn, risk, conversion, and operational metrics.
MLOps — Training pipelines, model registries, monitoring, evaluation, retraining workflows

Use Cases

Predictive Models

Forecast demand, customer churn, lead conversion, fraud risk, and operational outcomes.

Domain-Specific LLMs

Fine-tune models on your proprietary data for industry-specific accuracy.

Computer Vision

Visual inspection, ID verification, document recognition, retail analytics.

NLP at Scale

Process emails, documents, transcripts, and unstructured text into structured insights.

Recommendation Systems

Custom ML for product, content, or service recommendation.

MLOps Foundations

Build the training, evaluation, and monitoring infrastructure to make AI sustainable.

How It Works

Our approach focuses on building systems that align with your business processes:

01 — Problem Framing

We translate the business question into a technical problem with measurable success criteria.

02 — Data Assessment

We audit your data, identify gaps, and design the data pipeline.

03 — Model Development

We design, train, and evaluate models against rigorous benchmarks.

04 — Integration & Deployment

We deploy into your environment with proper APIs, monitoring, and scaling.

05 — Monitoring & Improvement

We track model performance live and retrain as data and conditions evolve.

Benefits

Real AI capability owned by your business — not rented from a vendor
Production-grade engineering with proper testing, monitoring, and retraining
Domain accuracy that off-the-shelf tools can't match
A team of senior AI software developers without the cost of hiring one
A scalable foundation for future AI initiatives

Why Korvax for AI Engineering

We do AI engineering the way it should be done — with proper data discipline, rigorous evaluation, and production thinking from day one. No demos pretending to be deployments.

Korvax delivers:

Senior AI engineering services across ML, deep learning, NLP, and LLM development
Production-grade AI model development with full evaluation and monitoring
Hybrid LLM + traditional ML architectures that combine the best of both
Domain-tuned models built on your proprietary data
Long-term partnership through MLOps, monitoring, and ongoing improvement

Start Building Real AI Capability

Let’s engineer AI that becomes a permanent capability of your business.

Frequently asked questions

What are AI engineering services?

AI engineering services cover the full lifecycle of building, deploying, and maintaining AI systems — including data pipelines, model development, integration, monitoring, and ongoing optimization.

What's the difference between machine learning development services and LLM development services?

Machine learning development typically focuses on tabular and predictive problems. LLM development services focus on language models — fine-tuning, RAG, agentic systems, and generative applications. We deliver both, often combined.

Do you offer NLP development services?

Yes. Our NLP development services cover entity extraction, classification, summarization, intent detection, and multilingual processing — including Arabic and English natively.

Can you build custom predictive AI for our business?

Yes. Predictive AI development is one of our core capabilities — forecasting, scoring, churn prediction, demand modeling, and risk assessment built on your data.

Do you provide AI software developers on a project basis?

Yes. We engage either as a delivery team owning full projects or as embedded AI software developers integrated into your team.

What does AI model development include?

AI model development covers data prep, model design, training, rigorous evaluation, deployment, and ongoing monitoring and retraining — full lifecycle.