APPLIED-AI PRODUCT & GROWTH · TOKYO

Nurturing AI-powered products from idea to growth.

SDTR is a Tokyo-based applied-AI product and growth consultancy. We start with what to build and why — the real problem, the real business case — before the how. Then we help you ship it, grow it, and make it stick.

SDTR — 育てる (sodateru), to nurture growth.

Asking the right questions first.

We start every engagement by sharpening the question — toward the problem, the customer, and the evidence — before any conversation about architecture or features.

How we help.

Six ways SDTR helps teams turn AI capability into products that ship and grow.

  1. 01

    AI Readiness & Opportunity Assessment

    A clear, prioritized starting point instead of a stalled proof-of-concept — and a defensible plan you can act on.

  2. 02

    Design & Validation

    A go/no-go decision grounded in real signal, not opinion — and saved build time on the ideas that don't hold up.

  3. 03

    Applied AI Products

    An AI product you can ship with confidence — measured, guarded, and honest about what it does and doesn't do.

  4. 04

    GTM & Growth

    A product that pays off, not just launches — with the growth loops and pricing to sustain it.

  5. 05

    Strategy & Roadmaps

    A team that can say what it's building this quarter and why — and can tell whether it's working.

  6. 06

    Developer Enablement

    Developer interest converted into real adoption and a community that grows through substance.

Selected work.

Representative engagements. Company names, project names, and identifying details are omitted for confidentiality.

See more projects →

FINTECH · AI PRODUCT & GROWTH

AI-enabled FinTech platform, 0→1→scale

A multi-product FinTech portfolio with weak engagement, unclear positioning, and spend that wasn't converting — several products competing for attention without a clear core user.

~2.5× user growth and doubled revenue within a year; engagement up materially.

APPLIED AI · PRODUCT STRATEGY

Reframing a stalled AI product, and opening an enterprise path

A consumer conversational-AI product built on a strong proprietary language model, but with stalled engagement and weak monetization — strong technology, unclear product-market fit.

On the consumer side, materially improved early-week retention within weeks. The B2B concept advanced from idea to a working enterprise path, substantially reducing time-to-first-answer in onboarding scenarios.

CONSUMER / DTC · PRODUCT

Product invention for an underserved segment

An established but conservative premium-goods category, dominated by heritage players, sold almost entirely offline through intermediaries. Little product innovation at accessible price points, and no direct relationship with a younger, digitally-native buyer.

Profitable in year one; 250% ROI by year two. A signature product sold out at launch and drove unpaid coverage in major international media.

From short projects to continuous engagements.

Most engagements begin with a defined project. From there, they deepen as far as the work requires.

SDTR takes on a small number of engagements at a time.

How it actually works

  1. A 30-minute fit conversation.
  2. A written scope: outcomes, deliverables, roles, success measures.
  3. A first project — typically 2–6 weeks depending on scope — with weekly evidence, a decision memo, and a practical handover.

Start in weeks — without waiting for a full-time senior hire, or committing to a permanent role before the problem is understood.

SDTR is founder-led by Daniel Jimenez — a hands-on product leader, and former CPO of the DTC brand he co-founded, who has built real products across applied AI, FinTech, and consumer businesses. About →

A problem worth solving?

Start with a 30-minute conversation — no deck required.

Discuss a project