Concept Box Technology has spent a decade shipping applied AI — multi-agent systems, retrieval platforms and computer vision — for healthcare, logistics, manufacturing and retail enterprises. We design the architecture, build the system, and stay until it runs.
What we do
We are not a staffing shop with an AI page. Every capability below is backed by systems running in production for real clients in regulated and operationally demanding industries.
Selected work
A sample of delivered engagements across agentic AI, generative AI and computer vision.
Automotive retail & financial services
A generative multi-agent system that compares leasing, buying and certified pre-owned ownership paths on real financial data, and tells the buyer which one actually costs least over their holding period.
Pharmaceuticals & life sciences
A RAG pipeline that drafts regulatory document sections directly from clinical trial data, compressing a medical-writing cycle that traditionally runs for months.
Retail & supply chain
A chat interface over a large Snowflake estate that turns business questions into optimised SQL and returns a plain-language answer — no analyst in the loop.
Logistics & transportation
A computer vision pipeline that watches public highway cameras across the United States and turns them into truck and container movement data for logistics planning.
Trust architecture
The fastest way to lose an enterprise AI programme is to discover, after launch, that sensitive data crossed a boundary nobody mapped. We design that boundary first — and design it so you can prove where it sits.
How we work
Every engagement is designed so your team can eventually run the system without us. That is the point.
We start with the workflow, not the model. What does the work look like today, where does it actually cost you, and is AI the right instrument for it? Sometimes the honest answer is no, and we will say so.
Model selection, cloud, data boundaries, guardrails and unit economics — decided on evidence and written down. You get an architecture your engineers can build against and a cost model your CFO can sign.
A narrow, working slice against a golden evaluation set, on your real data. Measurable quality before anyone commits to a full programme.
Production deployment with tracing, evaluation gates and cost monitoring — plus the documentation and training that lets your team own it. We are not trying to become permanent furniture.
Recognition
AutoAdvisor multi-agent system
AutoAdvisor multi-agent system
Validated enterprise readiness
A 30-minute call, no pitch deck. Bring the problem — you leave with a straight answer on feasibility, the architecture that fits, and what it would realistically cost to run.