From discovery to your first product version — delivered project by project.
Not slideware. Systems that actually run.
// service_packages
Contract only the stage you need. Each stage starts and ends independently, and its deliverables feed the next one.
We start by defining what to build, why, and in what order. Stakeholder interviews, structured requirements, and an actionable technical roadmap.
A working proof — not slides. We validate the core hypothesis on your real data and give you the evidence to decide whether to proceed.
An operable v1, delivered. Deployment, monitoring, and documentation included — handed over so your team can run it.
Per-stage contracts · Corporate tax invoices (KR) · Remote-first, on-site meetings when needed
// work
Not portfolio demos — services we designed, built, and operate in production today. Click through and see for yourself.
Agricultural price forecasting engine
A multi-agent forecasting system where 53 agents collaborate. Public wholesale-price data is ingested daily, structured into a knowledge graph, and published as debate-refined forecast reports — fully automated.
Art knowledge graph + MCP API
A 432K-node knowledge graph built on the CIDOC CRM ontology. Artwork, artist, and provenance data served over an MCP API — a B2B intelligence service with paying international customers.
Global ingredient-substitution PWA
A global web service for finding ingredient substitutes. An installable PWA in 10 languages, running on a serverless architecture that keeps operating costs near zero.
iOS saju (Four Pillars) analysis app
An iOS app combining a traditional Korean astrology calculation engine with an LLM interpretation pipeline. A custom calendrical engine built on astronomical data ensures accurate charts beneath the AI layer.
// expertise
Every one of these is running in production in the products above.
Problems a single prompt can't solve, solved by agents working together — role separation, quality gates, and per-model cost routing.
Beyond document search: we structure domain knowledge as graphs — the data foundation for services that must answer with evidence.
We turn your internal data and APIs into tools LLMs can use safely — connectable from Claude, ChatGPT, and any standard MCP client.
Ingest → process → infer → publish, running automatically every day. Designed for operations: monitoring and failure recovery included.
// team
Criminal-intelligence data analysis → enterprise AI & security consulting → legal-tech AI products. A track record proven in the field, leading every project directly.
10 yrs
Built and ran data-driven investigation and analysis systems handling large-scale unstructured data in intelligence-crime investigations.
3 yrs
Delivered AI and security consulting for enterprise clients. Two perfect 10/10 client evaluations.
1.5 yrs
Built and operated production LLM products in the legal domain — owning the full retrieval, generation, and evaluation pipeline.
Georgia Tech
MS Analytics (in progress)
// contact
Send a short note about where you are and what you want to build. We reply within two business days and decide together whether discovery is the right first step.
Per-stage contracts · Corporate tax invoices (KR) · NDA available