WORK

Selected projects that show how we design and ship real systems.

Examples of work across multi-agent AI, healthcare platforms, and supply chain systems. Focus is on the problem, the approach, and the technical foundation. Client names and confidential metrics are shared only with permission.

Selected work

Real systems across AI, healthcare, and logistics.

Each project summary keeps the focus on the platform, the technical approach, and the operational problem being solved.

AI

Multi-Agent Automation Platform

2025 – 2026

Custom multi-agent platform where clients create and deploy their own RAG-based agents from files, domain data, and rule-based workflows.

What we built
  • Agent creation and full lifecycle management per client
  • Multi-project, multi-agent deployment with real-time responses
  • Multi-regional architecture with strong data protection (GDPR considerations)
  • React interface for configuring agents, rules, and monitoring
Healthcare

Healthcare Data Management & Clinical Insights Platform

2022 – 2024

Scalable platform for patient data, clinical workflows, and medical records with analytics and external system interoperability.

What we built
  • Patient data and clinical workflow management
  • Flexible data modeling with MongoDB
  • Real-time processing and healthcare analytics APIs
  • Secure AWS deployment focused on performance and compliance
Supply Chain

Logistics and Supply Chain Platform

2023 – 2024

Large-scale logistics platform for freight forwarding, customs brokerage, and end-to-end supply chain operations.

What we built
  • Backend systems and APIs for real-time shipment tracking
  • Multi-modal transport coordination
  • Data-driven operations across global and remote environments

Have a similar challenge?

Whether you need multi-agent AI, a healthcare data platform, or supply chain systems — tell us the workflow, the users, and what the first useful version should do. We’ll reply with the most practical next step.

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