Healthcare Software That Works in Production
Founder-led development for DICOM/PACS platforms, clinical workflows, and AI-enabled web apps — from architecture to deployment.
What We've Built
Production systems solving real problems. Used by real people.
From healthcare data pipelines processing 100GB+ daily to AI-powered education platforms serving thousands of users - we build production-grade systems that handle real-world scale. Each project showcases our expertise in complex backend architectures, modern frontend development, and turning ambitious ideas into reliable, maintainable software.
DICOM Router
Self-hosted DICOM routing middleware built in Go. Bridges imaging devices to multiple destinations: cloud storage (AWS S3, MinIO), other DICOM systems, and AI processors. Includes web UI for managing routing rules, destinations, and AI pipelines. HIPAA audit logging, DICOM query/retrieve support, and DICOMweb integration for browser-based viewing via OHIF.
Read Case Study
Speech Coach
AI-powered platform for speech improvement with real-time analysis and personalized coaching. Built with Next.js and LLM APIs for speech pattern recognition. The system analyzes pace, clarity, and emotional tone, providing instant feedback and progress tracking through an intuitive dashboard.
Read Case Study
DICOM Routing Platform
Enterprise medical imaging platform processing 100GB+ DICOM data daily for US telemedicine providers. Microservices architecture with FastAPI, Redis Streams for audit trails, and HAProxy load balancing. Handles routing from multiple clinics with HIPAA-aligned safeguards, zero data loss, and real-time monitoring via React dashboard. Scales from single-clinic to distributed multi-site deployments.
Read Case Study
AI Education Platform
Self-hosted GPU-powered Jupyter platform for AI education, deployed in Korean national research project. NestJS GraphQL API manages users and sessions, FastAPI controls Docker containers and GPU allocation. Students get isolated Tesla V100 GPU access via NVIDIA MIG. Supports 40+ concurrent users with real-time monitoring (Prometheus, Grafana) and replaces commercial cloud services for on-premise AI training.
Read Case Study
Orthanc PACS Deployment
Secure cloud-native DICOM backend for DXA scan storage and retrieval. Built with Orthanc DICOM server, AWS S3 for storage, PostgreSQL for metadata, and comprehensive CloudWatch monitoring. Features VPN-only access, HTTPS encryption, automated daily backups, and production-grade observability.
Read Case Study
PACS Platform Modernization
Enterprise PACS platform modernization for multi-site medical imaging center. Built custom web interface with Next.js and Ant Design, NestJS backend, Orthanc DICOM server, PostgreSQL metadata indexing, and Redis caching. Features advanced filtering, batch operations (anonymize, ZIP, send), role-based access control integrated with RIS, OHIF viewer integration, and WebSocket real-time progress updates.
Read Case Study
Medical Form Designer
AI-native authoring system that turns paper-derived medical forms into structured, editable schemas. A non-developer drops a PDF; an LLM-vision pipeline produces validated tool calls against a typed block catalog, which a 2D composer assembles and fits to the page. One JSON schema is the single source of truth for a visual editor, a passive renderer (view / input / print), and the AI layer. mm-native layout gives DPI-independent 1:1 A4 printing; forms live as versioned data rather than code.
Read Case StudyGot a similar challenge?
We specialize in healthcare tech, AI integration, and complex web platforms.
Ready to Build Your Project?
Tell us what you need to build. We'll help define the scope, choose the right architecture, and get it into production.
How We Work
Three ways to work with us, depending on your stage
MVP Launch
Perfect for validating your idea
Launch a focused, production-ready first version with the core workflow needed to validate your product.
- User research & wireframes
- Core feature development
- Production-ready web app
- 2 weeks post-launch support
Healthcare & DICOM
For complex clinical workflows
Build or modernize medical imaging infrastructure with the security, interoperability, and reliability healthcare systems require.
- DICOM/PACS architecture
- Clinical workflow integration
- Security and audit controls
- Deployment and observability
Ongoing Development
For products that need continuity
Keep an experienced product team available for planned improvements, integrations, and production support.
- Prioritized development capacity
- Feature and integration work
- Performance and security updates
- Production support
Final pricing depends on scope, integrations, compliance requirements, and timeline.
Who We Are
A small, founder-led team that ships production software. You work directly with the people building it.
Alexander Kim
Co-Founder
MS, Sungkyunkwan University
I lead the technical architecture and backend development, with 10+ years of experience in healthcare software, DICOM, HL7, and complex data platforms.
Julia Kim
Co-Founder
PhD Candidate, Seoul National University
Former Marketing Manager at KIA. I help clients translate their business needs into clear technical requirements and make sure your project ships on time and on budget.
Vladimir Kim
Senior Frontend Developer
Russian New University
6+ years building user-focused interfaces with React, Next.js, and TypeScript. Specialized in performance optimization (SSR, lazy loading, WebSockets) and AI/ML API integration.
Why AKLabs?
We're a small, founder-led product team. You work directly with the people responsible for your product — from technical decisions to delivery.
Direct Communication
You work directly with the founders: Alexander leads architecture and backend development, Julia leads discovery and delivery, and Vladimir builds the frontend. The people making the decisions are the people doing the work.
Clear Commercial Terms
We agree on scope, milestones, and pricing before development begins. You know what the engagement covers and how changes will be handled.
You Own Everything
100% code ownership. Full documentation. Complete access to your repository. No vendor lock-in. You can take it anywhere after we ship.
Our Experience
- Healthcare Systems: Built DICOM routing platform processing 100K+ medical images
- Education Platforms: Built a government-funded, GPU-powered learning environment with isolated workspaces and real-time resource monitoring
Ready to build something real?
Frequently Asked Questions
Everything you need to know about working with us
How long does it take to build a healthcare DICOM/PACS system?
For a production-ready DICOM routing platform, we typically need 12-16 weeks. This includes Orthanc configuration, custom plugin development, S3 integration, and comprehensive testing with real medical imaging data. Our DICOM Routing System handles 100GB+ daily and has 99.9% uptime.
Do you handle HIPAA compliance for healthcare applications?
We build systems with HIPAA-aligned technical safeguards — encryption at rest and in transit, audit logging, role-based access control, and secure DICOM transmission. Full HIPAA compliance also depends on your operational processes, business associate agreements, and infrastructure, which we help you design around when handling protected health information.
What is your pricing for MVP development?
MVP engagements typically start at $15,000 and usually take 8-12 weeks. This includes discovery, wireframes, core feature development, and production deployment. Final pricing depends on scope, integrations, compliance requirements, and timeline.
Can you integrate AI/ML models into existing applications?
Absolutely. We specialize in integrating LLM APIs such as OpenAI and Anthropic, along with custom ML models, into web applications. Our work includes real-time speech recognition, automated feedback, and GPU-powered learning environments. We handle API integration, rate limiting, cost optimization, and fallback strategies.
Do you provide ongoing support after project completion?
Yes. MVP engagements include 2 weeks of post-launch support. Ongoing development engagements start at $3,000/month and can cover planned feature work, integrations, security updates, performance improvements, and production support.
What technologies do you specialize in?
Backend: Python/FastAPI, NestJS, Node.js. Frontend: Next.js, React, TypeScript. Healthcare: Orthanc, pydicom, DICOM protocols (C-STORE, C-MOVE, WADO-RS). Infrastructure: Docker, AWS (EC2, S3, Lambda), PostgreSQL, Redis. We choose the best stack for each project based on requirements.
Can you help migrate from legacy PACS to modern cloud solutions?
Yes. We have experience migrating legacy PACS systems to Orthanc-based cloud architectures. Our migration strategy includes data validation, performance optimization (from 3-4 studies/second to 100 studies in <2 seconds), and zero-downtime cutover strategies.
Do you work with international clients?
Yes. We serve clients worldwide and work across all time zones. Our team is fluent in English, Russian, and Korean. We use async communication for efficiency and schedule regular video calls for alignment.
Have Questions? Let's Talk
Not sure where to start? Book a free 30-minute consultation to discuss your project requirements and timeline.