We build intelligent systems that transform complex challenges into elegant, scalable solutions powered by machine learning.
01 — About
We are a specialized AI/ML engineering studio focused on building production-grade intelligent systems. From computer vision to natural language processing, we architect solutions that handle millions of requests while maintaining exceptional accuracy.
Our expertise spans the entire ML lifecycle — from model development and training to deployment and observability. We've built systems processing over 50 million daily requests, serving enterprise clients across healthcare, e-commerce, and fintech.
02 — Services
Design and implement autonomous AI agents that reason, plan, and execute complex multi-step tasks.
End-to-end ML solutions from data pipeline to production deployment with continuous monitoring.
Scalable infrastructure for training, serving, and monitoring ML models in production.
03 — Projects
Payment Infrastructure
Secure Payment Intelligence Platform
Complete re-architecture of a legacy payment system after a critical PII exposure incident. Designed and implemented a secure, event-driven microservices platform with ML-based fraud detection processing 120K daily orders. Achieved 99.98% SLA with zero security vulnerabilities.
Real-time Messaging
Intelligent Multi-channel Notification Engine
Re-engineered the notification infrastructure from sequential processing to a concurrent, event-sourced architecture. Implemented ML-based message prioritization and smart batching with Cuckoo filters for deduplication across Email, SMS, KakaoTalk, and Push channels.
Healthcare AI
Clinical Trial Intelligence Platform
Built a full-stack clinical trial management platform with ML-powered participant matching and outcome prediction. Developed secure data pipelines handling sensitive PHI with HIPAA-compliant architecture. Generated $1.5M+ revenue over 3 years of operation.
MLOps Infrastructure
Intelligent DevOps Automation Platform
Designed and implemented an automated deployment pipeline for microservices handling 5M+ daily requests. Built intelligent monitoring with anomaly detection, automated scaling, and self-healing capabilities. Reduced deployment time by 85% from 6 hours to 50 minutes.
Computer Vision
Deep Learning Image Classification System
Engineered a bird species classification system using PyTorch and CLIP vision-language models. Implemented knowledge distillation techniques to achieve 75% model compression while maintaining accuracy. Processed 11,788 images with 88% classification accuracy.
AI Agent Platform
RAG-powered AI Coaching System
Architected a RAG-based AI workout coaching platform serving 100+ participants. Built FastAPI backend with React frontend, implementing semantic search over training data with PostgreSQL vector storage. Achieved 95% response accuracy with sub-2 second latency.
04 — Overview
Building intelligence
that scales with purpose,
precision, and reliability.
05 — Contact