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AI Product Platform · 2026
AI productsconnected to ship.● 4 LIVE · 8 NEXT · 1 PLATFORM

We build AI products that actually ship

BIBO PLB is a product platform for founders and companies. We design, engineer and launch AI services end-to-end — from the first hypothesis to a live product with users.

Start a conversation See what we've shipped
Live products
04
Running in production
Sectors mapped
12
4 live · 8 next
Posture
AI-first
LLM · agents · RAG
Delivery
End-to-end
No handoffs
Section · 0101

Four AI products,
already live.

Built and operated by our own team. Same discipline we bring to partner projects.
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One team for the whole product.

AI engineering, product, infra and growth under one roof. No agency hand-offs.
01AI · Eng

AI engineering

LLM pipelines, agents, RAG, custom embeddings, evaluation loops. Production-grade, not demos.

02Product

Product & design

We decide what to build and what to cut. Clear scope, strong UX, fast iteration on real users.

03Cloud

Cloud & deployment

Infra, pipelines, observability. Deployed to production from day one — no handoff, no drift.

04Growth

Growth & distribution

Positioning, landing, acquisition. We don't stop at launch — we find the channel that works.

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From first call to first users
in weeks — not quarters.

A four-stage launch sequence. We stay until the product is in stable orbit.
02weeks
Phase 01 — Countdown

Discover

We pressure-test the problem, map users and cut scope to what actually matters.

problem · scope · target user
v0.1
Phase 02 — Ignition

Design

Architecture, UX, AI approach. One coherent product, not a bag of features.

architecture · prototype · model plan
000users
Phase 03 — Ascent

Ship

We build the MVP in weeks. Production infra, real data, no throwaway prototypes.

live MVP · prod infra · first users
Phase 04 — Orbit

Scale

We stay with the product — improve, measure, grow. That's how real products get built.

growth loop · metrics · roadmap
Section · 0404

Pick the format that
matches your stage.

Three trajectories, one bar for the work. Choose where you want to enter orbit.
For companies · 01

Service partner

We build your AI product or module end-to-end. You own it, we deliver it.

ModelCash · milestones
Horizon1–2 weeks
Ownership100% client
TrajectoryDirect
For founders · 02

Founding partner

We join your startup as tech and product co-founders. Equity-based. MVP to scale.

ModelEquity
HorizonLong-term
RoleCo-founder
TrajectoryStable orbit
For investors · 03

Co-investment

We co-build and co-invest in AI products where our skill and your network compound.

ModelSkill + capital
HorizonMulti-product
RoleCo-founder + LP
TrajectoryPortfolio
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The questions we actually get asked.

Short answers. If you need the long version — write us.
How fast can you ship an MVP?

For most scopes — 6 to 12 weeks from first call to live product. We cut scope hard in Discover so what we ship is real, not a demo.

What does the team look like?

One product lead, AI engineering, infra, and a designer per project. No managers, no hand-offs between agencies. The same people you talk to are the ones writing the code.

Who owns the code and the IP?

In Service-partner mode — you do, 100%. In Founding-partner mode — the company we build together does. We never resell client code.

Do you work with non-AI products?

Rarely. We're an AI-first shop and our edge is in shipping LLM, agent and RAG systems to production. If AI isn't central to the product, we're probably the wrong team.

What stage of company do you usually join?

From pre-seed founders with a sharp hypothesis, to mid-size companies that need an AI module shipped fast. We avoid 18-month enterprise discovery cycles.

How do payments work?

Cash + milestones for service work. Equity (or equity + reduced cash) for founding partnerships. Discussed openly in the first call.

Section · 0606

Tell us what you're
building.

We'll reply within a business day with a direct path forward — not a sales sequence.

One short note,
one direct reply.

No CRM funnel, no sales agent. The same people you'll work with read the form.

hello@biboplb.pro
Got it. Reply incoming.