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Anyone can ship a demo.We build the systemyour business runs on.

Websites, apps and AI systems — built and maintained by senior engineers.

Tell us what you're buildingSee the process

Bring an idea, an existing product or the problem you want solved. No technical specification needed.

Service areas, one team
05
Weeks to a shipped sprint
2–4
Business-day reply to every enquiry
1 day
Code, data and prompts are yours
100%
01Where we come in

Where itusually starts.

Around half of what we ship has no model anywhere near it.

  1. You have an idea or a prototype. Now it needs to work in practice.

    How a build runs

  2. Your business has outgrown the way the work gets done.

    Business software & integrations

  3. You see an opportunity for AI, but need a clear way forward.

    Where AI sits, and where it doesn't
02Services

Five service areas,one accountable team.

The same engineers across all five, from the first conversation to month twelve.

  1. AI systems & automation

    01

    Agents that survive contact with real users.

    • Knowledge assistants
    • Document processing
    • Workflow automation
    • Eval suites

  2. Websites & ecommerce

    02

    Sites that load in under a second and rank while doing it.

    • Business websites
    • Online stores
    • Headless CMS
    • Technical SEO

  3. Web & mobile applications

    03

    One codebase, both stores, native where it counts.

    • Customer portals
    • React Native / Expo
    • Design systems as code

  4. Business software & integrations

    04

    Systems that stop needing a human to copy and paste.

    • Quotation and approval workflows
    • Operational dashboards
    • Connected to your existing tools

  5. Maintenance & ongoing development

    05

    Kept running, by someone who answers.

    • Product reviews
    • Uptime monitoring
    • Model and cost governance
Tell us which of these you need
03Why Biponex

Senior people.No layers in between.

What every engagement includes, whatever the size.

04Process

Five steps.Nothing hidden.

Same sequence every time. Stop after any step and you keep everything produced.

  1. Discover

    3–5 days

    Work out what is worth building

    • Intro call: 30 min, free
    • Then a small, paid discovery
    • A written build or no-build call

  2. Plan

    1–2 weeks

    Decide the architecture before writing code

    • An architecture record
    • Must-have vs later, decided
    • A fixed price, agreed

  3. Design

    1–3 weeks

    Make the interface real before it is expensive

    • A clickable prototype
    • A design system in your repo
    • Reviewed with you first

  4. Build

    2–10 weeks

    Ship a real increment every week

    • Weekly deploys on a live URL
    • Tests and evals
    • Changes agreed before extra work

  5. Launch & improve

    Ongoing

    Harden it, then keep it honest

    • A runbook and an owner
    • 30 or 90 days support
    • Embedded for ongoing work
05Work

Work we canshow you.

Designed and built end to end by the engineers you would talk to. Internal systems are shown but not linked.

06AI-native delivery

AI makes us faster.Judgement makes it work.

Not a product we sell. It describes where AI sits — in exactly two places, both behind a gate.

Inside how we deliver

AI drafts. An engineer decides.

Your briefAISynthesisScaffoldingTest generationFirst-pass QAGateAn engineer reads every changeShipped

Inside what we build

It answers from your own documents, and hands over to a person when it isn't sure.

A user asksAIAgentsRetrievalRoutingExtractionGateConfidence threshold, human escalationAn answer that holds up

AI never reviews its own output. Every line is read by an engineer who can explain why it is there.

07Engagement

Three ways towork with us.

No rate card. You get the scope and a fixed price in writing before you commit — here is how that works.

Sprint

Fixed scope, fixed price

2–4weeks

You know what you need and want it shipped.

  • Discovery included in the price
  • Weekly deploys on a live URL
  • 30 days support after launch
Scope a sprint

Build

Full product delivery

Most projects

5steps, end to end

You have a product to get into production.

  • All five process steps
  • Design system delivered as code
  • Eval suite for any AI scope
  • 90 days support after launch
  • Direct line to the build team
Start a build

Embedded

Monthly capacity

30days' notice, no minimum

You need capacity, not a vendor.

  • Dedicated capacity each month
  • Patching and model upgrades
  • Cost governance
  • Response SLA
  • Monthly metric review
Discuss a retainer

All three start the same way: the form below.

How pricing works

  1. 01

    A short, paid discovery scopes the work.

    Deliberately small.

  2. 02

    You get the scope and a fixed price in writing.

    With the assumptions behind it, and how changes are handled.

  3. 03

    Fixed scope, so finishing early is our problem.

    Not your invoice.

  4. 04

    No minimum term.

    Leave with thirty days' notice.

What moves the price

Scope
How much is in the first release, and how much can wait.
Integrations
How many existing systems the product has to talk to.
AI
Whether it needs grounding, an eval suite and human oversight.
Running costs
Models and paid platforms, identified up front.

Our contracts and accounting are handled by Expert SM, a law and business consultancy in Baku with 25 years of practice.

08Standards

Every deliverymeets this.

Two of the four are measured on this page.

It loads fast.
A speed budget, agreed before we start.This page: 0.46 s, zero layout shift.
It works for everyone.
Keyboard, screen readers, colour contrast.This page: 0 accessibility violations.
AI is tested before it ships.
Against real questions, every release.
The next engineer can read it.
Typed, tested and documented.
09Team

Who leadsthe work.

The people who run Biponex. The team behind them is larger than this page.

10Questions

Things peopleask us first.

  • 01Do we need an AI feature to work with you?

    No. Around half of what we ship has no model anywhere near it. If AI would not improve your outcome, you hear that in discovery.

  • 02Do we need a detailed brief?

    No. An idea, an existing product, or a description of what is causing problems is enough for the first conversation. Working out what has to be decided before development begins is what discovery is for.

  • 03What does “AI-native” actually mean?

    Two things. AI sits inside our delivery — synthesis, scaffolding, test generation, first-pass QA — which is how a small team ships quickly. And it goes into products where it removes real work. It never reviews its own output.

  • 04How much does a project cost?

    It depends on scope, so we say after a short paid discovery rather than guess before it. You get the scope and a fixed price in writing, yours to take elsewhere. Where the product relies on paid platforms or AI services, we identify the running costs too.

  • 05Can you work with our existing developers?

    Yes, and it is common. We join your repo, standards and review process. Embedded exists for exactly this.

  • 06Who owns the code, data and prompts?

    You do, on delivery. Code, infrastructure, prompts, eval sets and docs land in your accounts. No runtime to keep renting, no licence to renew.

  • 07Can you deploy into our own infrastructure?

    Usually — into your cloud, behind your auth. If your setup makes the work materially riskier, we say so in discovery and quote the fix separately.

  • 08Can you take over an existing product?

    Yes, starting with a paid audit rather than a quote — architecture, dependencies, tests, security, cost. You get a written plan and are free to take it elsewhere.

  • 09What do you build with?

    Chosen for the problem, not the résumé — but for the record: Product — Next.js, React, TypeScript, React Native, Expo, Figma. Platform — Node.js, Python, PostgreSQL, Supabase, Vercel. AI — OpenAI, Anthropic, LangGraph, MCP, pgvector. Commerce and operations — Stripe, Shopify, n8n. If your existing stack is different, we work in it.

  • 10How do you handle hallucination?

    Grounding first, so answers come from your content rather than model memory. Then an eval suite with a regression gate, then confidence thresholds with human escalation. Retrieval reduces hallucination; it does not eliminate it.

  • 11What happens after launch?

    Thirty days of support on Sprint, ninety on Build. After that Embedded covers monitoring, upgrades, cost governance and an SLA. A system left alone for a year is quietly getting worse.

11Start here

Tell us what is slow,expensive, or broken.

One form, read by a person. If there is a fit we say so. If not, we say that too.

No sales sequence. No unnecessary calls.

Based
Baku, working across EMEA
Response
One business day
  1. 01We read itA person, within one business day.
  2. 02A short callOnly if there is something worth discussing.
  3. 03A discovery scopeWritten and priced. Yours to take elsewhere.
What do you need?
Budget range
When do you need it?

No newsletter.

How we handle what you send.