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HumbleBeeAI

HumbleBee AI isa research-ledAI product studio

We partner with startups and visionaries to craft Computer Vision, Generative AI, and Business Analytics solutions.

Our approach

You+HumbleBeeAI — We close that gap.

You bring the product idea, the data and the vision. We bring the research, engineering and production that turn it into a working AI product.

Who we are

The AI products changing industries deserve engineering as ambitious as the vision behind them. Most teams we work with already know what they want to build. They have the idea, the data, and the conviction. What they don't have is the AI engineering team to turn that ambition into a production system.

That gap costs more than time. It costs momentum, investor confidence, and opportunities that never make it to market.

We partner with startups and visionaries to craft Computer Vision, Generative AI, and Business Analytics solutions.

Studio
A research-led AI product studio
Team
PhD-research grounded engineers, trained in our own Academy
Own products
LumioHub, Kumush AI, AI Avatar
Offices
Incheon, Korea · Tashkent and Namangan, Uzbekistan

Selected work

Case studies

Products we've designed, built, and shipped ourselves — from concept to production.

    • Predictive Analytics
    • Explainable AI
    • Healthcare

    Johnson & Johnson

    A purchase-likelihood model for J&J's marketing team: 96.8% accurate, with SHAP explanations served in real time.

    Explore case study
    Challenge
    Predictions of who would buy a given product were slow and often inaccurate, and data differed widely by region and product line.
    Engineered
    Predictive model · Custom features · Explainability · Real-time delivery
    Evidence
    96.8% accuracy predicting purchase probability
    • Computer Vision
    • Face Recognition
    • Workplace Security

    LumioHub

    Face-recognition platform for automated attendance, on-premise security alerts and workplace analytics across sites.

    Explore case study
    Challenge
    Organisations still run attendance and security on access cards, spreadsheets and ad-hoc supervision.
    Engineered
    Attendance and timekeeping · On-premise security · Presence and wellbeing signals · Reporting and administration
    Evidence
    Improved attendance integrity through automated tracking.
    • Legal Tech
    • RAG
    • Multilingual NLP

    Wakil AI

    Legal assistant for Uzbekistan with citation-backed answers in Uzbek, Russian and English, plus a lawyer marketplace.

    Explore case study
    Challenge
    Legal texts are complex, official databases offer few tools that explain them, and professional legal help can be expensive or hard to find.
    Engineered
    Retrieval-augmented answers · Adaptive retrieval · Sovereign deployment · Lawyer marketplace
    Evidence
    170+ real tax-law queries in its RAGAS evaluation

Our Solutions · The intelligence experience

Six disciplines. One vision.

Explore how HumbleBeeAI transforms complex challenges into intelligent systems—from perception and creation to research and reliable deployment.

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We're easy to reach and even easier to work with.

Every engagement starts with a scoping call, so we can size the work honestly instead of quoting blind.

FAQ

Frequently asked questions

Everything you'd ask on a first call — from what we are to how an engagement actually works.

Still have questions? Talk to us directly.

What is HumbleBeeAI?

HumbleBeeAI is an applied-AI studio — we research, build, and ship custom AI systems for clients, and we train the engineers who do that work ourselves through our in-house Academy rather than relying on subcontracted or freelance staffing. Beyond client work, we ship our own products (LumioHub, Kumush AI, AI Avatar, and others) as proof of what we build.

How is HumbleBeeAI different from a typical dev agency or freelance team?

Two things: our team is PhD-research grounded, not just implementation-focused, so feasibility gets tested before we commit to a build direction. And our engineers are trained in-house through our own Academy rather than sourced from a freelance pool — the same people who ship your project are the people who can support and extend it afterward.

Who owns the models, code, and IP you build for us?

You do. Client engagements are scoped as work-for-hire — the models, code, and any custom tooling built for your project are yours. We'll walk through the specifics of IP assignment and any shared-component licensing during scoping, before a contract is signed.

Can you deploy on our own infrastructure and keep our data private?

Yes — we've shipped fully locally-hosted deployments (LLMs and computer vision models running on-premise, with no data leaving client infrastructure) where data sovereignty was a hard requirement, including for government-adjacent and customs work. Cloud, hybrid, and fully on-prem deployments are all options we scope per project.

What does the engagement model look like — fixed-scope projects or an embedded team?

Both, depending on what you need. Some clients bring a defined project with a clear deliverable; others need an embedded team for an ongoing build. We don't run self-serve pricing — every engagement starts with a scoping call so we can size the work honestly instead of quoting blind.