AI Development
Cognitive Enterprise Architecture
Strategic Overview
In the rapidly evolving landscape of artificial intelligence, proof-of-concept is easy, but production-grade resilience is hard. NEYD's AI division bridges this gap by treating AI not as a novelty, but as a core infrastructure component. We specialize in designing Cognitive Enterprise Architectures that integrate Large Language Models (LLMs), predictive analytics, and computer vision directly into your operational workflows.
Our approach begins with data sovereignty. We believe that your proprietary data is your most valuable asset. Unlike off-the-shelf solutions that risk data leakage, we build secure, private-cloud hosted models that are fine-tuned specifically on your enterprise corpus. This ensures that your AI doesn't just speak generic language - it speaks your business's dialect, understanding the nuances of your contracts, codebases, and customer interactions.
Beyond implementation, we focus on 'Explainable AI' (XAI). For regulated industries like finance and healthcare, a black box is a liability. Our data scientists engineer transparency layers that allow compliance teams to audit decision pathways, ensuring that algorithmic outputs are ethical, unbiased, and legally defensible. Whether you are looking to automate complex document processing or generate dynamic personalized content at scale, NEYD provides the intellectual capital to execute with confidence.
Generative AI Integration
Custom LLM deployment, RAG pipelines, and fine-tuning for domain-specific knowledge.
Predictive Analytics
Forecasting models for financial modeling, supply chain optimization, and churn prediction.
Computer Vision
Automated quality control, facial recognition, and spatial analysis systems.
AI Governance
Frameworks for ensuring ethical, explainable, and compliant AI operations aligned with EU AI Act.
Our Process
We follow a six-step process
Assessment
Comprehensive analysis of your data landscape, existing systems, and AI readiness. We identify high-impact use cases and define measurable success criteria for your AI transformation initiative.
Architecture
Design scalable AI architectures including model selection, data pipeline design, and infrastructure planning. We create blueprints that ensure data sovereignty, security, and production-grade performance.
Development
Build and train custom AI models using your proprietary data. Our engineers develop RAG pipelines, fine-tune LLMs, and implement computer vision systems tailored to your specific business requirements.
Integration
Seamlessly integrate AI solutions into your existing technology stack. We build APIs, deploy models to production, and ensure real-time inference capabilities with minimal latency.
Testing
Rigorous validation including bias testing, performance benchmarking, and edge case analysis. We ensure your AI systems are accurate, fair, and compliant with regulatory requirements.
Optimization
Continuous monitoring and improvement of deployed AI systems. We track model drift, retrain on new data, and optimize inference costs to maintain peak performance over time.
Operational Logistics
Engagement Details
The talents work remotely from home, at our premises in Tbilisi, Georgia, or in their local coworking spaces.
We evaluate the candidates' experience and present you with the top options for the final interview. Alternatively, you can test them on your end to ensure you make the right decision.
Talents can use their own hardware, or we can provide laptops tailored to your specific requirements. If our setup doesn't meet your needs, you can either rent hardware from us or send your own equipment to our office in Tbilisi.
Our talents are entitled to up to 24 days of paid vacation per year. Consultants and freelancers can take up to 24 days of unpaid vacation annually, meaning you only pay for the time they actually work.
Our talents are entitled to up to 40 days of paid sick leave per year, while consultants and freelancers are entitled to up to 40 days of unpaid sick leave annually. This ensures you only pay for the time worked, not for sick days.