Intelligent Automation. Unfair Advantage.
KorTechX deploys proprietary AI systems that eliminate operational waste, automate complex decision-making, and give your business the cognitive horsepower of a team ten times its size — at a fraction of the cost.
AI Systems That Actually Work.
Custom Private LLM Training
Off-the-shelf AI models are trained on the internet — not on your business. We fine-tune and train private Large Language Models on your proprietary data sets, internal documentation, and domain-specific knowledge. The result is an AI that speaks with your brand voice, understands your product nuances, and maintains strict data privacy. Your IP stays inside your infrastructure — always.
Autonomous Multi-Agent Workflows
We build orchestrated networks of AI agents that handle complex, multi-step business processes end-to-end. A single workflow can ingest a customer inquiry, retrieve relevant knowledge (RAG), draft a response, route it for approval, and log the outcome — all without human intervention. We integrate agents directly into your Slack, CRM, ERP, or any system with an API. Clients typically reclaim 10,000–50,000 operational hours annually.
Predictive Analytics & ML Models
We build custom machine learning models trained on your historical data — customer churn predictors, demand forecasting systems, fraud detection engines, and dynamic pricing models. These are bespoke neural systems tuned to your specific business logic, deployed as microservices that integrate directly into your existing data infrastructure.
Intelligent Chatbots & Support Agents
We deploy RAG-powered (Retrieval-Augmented Generation) customer support agents that answer questions with accuracy by pulling from your real product documentation, pricing sheets, and FAQs in real-time. Unlike standard chatbots, these agents handle complex, multi-turn conversations, escalate intelligently to human agents when required, and learn from every interaction through fine-tuning cycles.
The AI Engineering Stack.
Custom LLMs
AI Agents
Vector Databases
Python / LangChain
Multi-Agent Ops
MLOps / Model Ops
Cloud Deployment
Private AI Security
The AI Engineering Blueprint.
Data Discovery & Architecture
We audit your existing data infrastructure — databases, documents, APIs, and workflows. We map where automation creates the highest ROI and define the data ingestion pipeline required to power your AI systems effectively and securely.
Model Selection, Training & Fine-Tuning
We select the optimal base model (open-source like Llama 3, Mistral, or proprietary APIs like GPT-4) for your use case and budget. Fine-tuning is performed on curated datasets from your business, with RLHF cycles to align outputs with your standards.
Agent Build & Integration Engineering
Using LangChain, AutoGen, or custom orchestration frameworks, we build the agent logic, define tool access permissions, and integrate with your CRM, Slack, Notion, or any custom API. All agents are containerized, versioned, and deployed behind role-based access controls.
Testing, Deployment & Continuous Refinement
Extensive hallucination testing, edge-case scenario evaluation, and adversarial prompt testing before deployment. Post-launch, we monitor output quality weekly and run monthly fine-tuning cycles to continuously improve accuracy.
AI Engineering Pricing.
One-time build costs with optional ongoing maintenance retainers for model refinement and monitoring.
- Single-Agent Workflow Build
- CRM / Slack Integration
- RAG Knowledge Base Setup
- 30-Day Post-Launch Support
- Custom Private LLM Fine-Tune
- Multi-Agent Orchestration System
- Vector DB + RAG Pipeline
- Native Enterprise Integration
- RLHF Alignment Cycles
- 90-Day Optimization Support
- Weekly Output Quality Monitoring
- Monthly Fine-Tuning Cycles
- New Agent Feature Development
- Dedicated AI Engineer
The Future Belongs to
Those Who Own the Automation.
Every month without AI automation is a month your competitors are pulling ahead. Let's close that gap permanently.
Get Your Free AI Consultation