The right engineers, in your organisation, when it matters most.

We bring the engineering depth your organisation needs.

Book a discovery call

The right engineers, in your organisation, when it matters most.

We bring the engineering depth your organisation needs.

Book a discovery call

The right engineers, in your organisation, when it matters most.

We bring the engineering depth your organisation needs.

Book a discovery call

Building the right engineering team takes time most deal timelines don’t allow.

We staff senior AI engineers within weeks, embedded in your organisation and working on what has to land before the deal.

Every role your engineering team needs under one roof.

Our team and network cover every function a modern tech organisation needs. From AI engineers and DevOps to product managers and interim CTPOs. One partner, every phase.

Forward-deployed engineers

Dev Ops

AI / ML Experts

Data & BI Analytics Engineers

Product & Delivery Managers

Business Automation Consultants

Interim CTPOs

Every role your engineering team needs under one roof.

Our team and network cover every function a modern tech organisation needs. From AI engineers and DevOps to product managers and interim CTPOs. One partner, every phase.

Forward-deployed engineers

Dev Ops

AI / ML Experts

Data & BI Analytics Engineers

Product & Delivery Managers

Business Automation Consultants

Interim CTPOs

Every role your engineering team needs under one roof.

Our team and network cover every function a modern tech organisation needs. From AI engineers and DevOps to product managers and interim CTPOs. One partner, every phase.

Forward-deployed engineers

Dev Ops

AI / ML Experts

Data & BI Analytics Engineers

Product & Delivery Managers

Business Automation Consultants

Interim CTPOs

A process made straightforward by design

Discovery call

Team match

Embed and Contribute

A process made straightforward by design

Discovery call

Team match

Embed and Contribute

A process made straightforward by design

Discovery call

We learn about your organisation, your current engineering setup, and where you need additional capability.

Team match

We match you with engineers from our pre-vetted pool based on your stack, your goals, and how your organisation works. You meet them before anything is signed, no surprises, no risk.

Embed and Contribute

Your engineers are onboarded into your tools and processes and contributing from day one. No lengthy ramp-up, no hand-holding, just experienced people doing good work.

The right engineers, as invested in your success as you are.

Ready to find out?

Embedded or independent

Skin in the game

GDPR compliant

Fast to deploy

The right engineers, as invested in your success as you are.

Ready to find out?

Embedded or independent

Skin in the game

GDPR compliant

Fast to deploy

The right engineers, as invested in your success as you are.

Ready to find out?

Embedded or independent

Skin in the game

GDPR compliant

Fast to deploy

What we value in working together

Working at eye level

We don't arrive with ready-made answers. You know your domain, we bring product, engineering and AI experience, and we build the solution together, in your language.

Where business, product and tech meet

We work at the intersection of business, product and technology. One interdisciplinary team brings strategy, product, engineering and AI together and translates between them, so nothing gets lost in handovers.

The courage to change

Markets move and change is the new normal. Call it agile, new work or OKRs, ideas alone are not enough. We make the change happen and stay until it works.

We're fans of a modern, scalable tech stack.

Our engineers are fluent across the full spectrum of modern tooling from AI and agentic frameworks to frontend, backend, and DevOps. We work with what’s right for your product, not what’s familiar to us.

defaultshop.ai

claude — fish — 100×30

Our technology stack

hubblrv0.4.2·stack categories
languages·
name
used in
●TypeScriptfrontend, edge runtimes, agent SDKs
●PythonFastAPI services, data pipelines, agents
●Gohigh-throughput services, infra glue
●SQLPostgres-first · Atlas migrations · dbt
●BashCI, deploys, day-to-day glue
ai·
name
used in
●Claude CodeAI pair-programmer in the terminal
●MCP serversexpose internal tools to agents
●Gemini SDKlong-context multimodal, planning
●MastraTypeScript agent SDK
●Vercel AI SDKstreaming + tool-use on the edge
●Vercel Chat SDKproduction chat scaffold · resumable streams
●AI Gatewaymodel routing, observability, budgets
●v0AI-built UI scaffolds · ship to Vercel
●Langfuseproduction tracing + evals
●pgvectorRAG straight in Postgres
agentic commerce·
name
used in
●Agent Commerce Protocolopen spec for agent-to-merchant transactions
●Stripe Agent Toolkitagent-issued payments + checkout APIs
●Browserbaseheadless browser-as-a-service for agents
●StagehandPlaywright + LLM, structured browser control
●Computer UseAnthropic desktop control · agentic shopping flows
●LangGraphagent state machines · tool routing
●MCP serversexpose product catalog + checkout to agents
backend·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub
frontend·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android
devops·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions
quality·
name
used in
●TypeScriptstrict mode, every file
●Ruff + MypyPython lint + types
●BufProtobuf lint + breaking-change checks
●Pytest · Vitestunit + integration
●Playwrightbrowser e2e + smoke tests
commerce·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs
product·
name
used in
●Linearissues, cycles
●Notiondocs + roadmaps
●Figmadesign + prototypes
●Dovetailuser research
← / →  switch category·scroll

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

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import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

We're fans of a modern, scalable tech stack.

defaultshop.ai

claude — fish — 100×30

Our technology stack

hubblrv0.4.2·stack categories
languages·
name
used in
●TypeScriptfrontend, edge runtimes, agent SDKs
●PythonFastAPI services, data pipelines, agents
●Gohigh-throughput services, infra glue
●SQLPostgres-first · Atlas migrations · dbt
●BashCI, deploys, day-to-day glue
ai·
name
used in
●Claude CodeAI pair-programmer in the terminal
●MCP serversexpose internal tools to agents
●Gemini SDKlong-context multimodal, planning
●MastraTypeScript agent SDK
●Vercel AI SDKstreaming + tool-use on the edge
●Vercel Chat SDKproduction chat scaffold · resumable streams
●AI Gatewaymodel routing, observability, budgets
●v0AI-built UI scaffolds · ship to Vercel
●Langfuseproduction tracing + evals
●pgvectorRAG straight in Postgres
agentic commerce·
name
used in
●Agent Commerce Protocolopen spec for agent-to-merchant transactions
●Stripe Agent Toolkitagent-issued payments + checkout APIs
●Browserbaseheadless browser-as-a-service for agents
●StagehandPlaywright + LLM, structured browser control
●Computer UseAnthropic desktop control · agentic shopping flows
●LangGraphagent state machines · tool routing
●MCP serversexpose product catalog + checkout to agents
backend·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub
frontend·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android
devops·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions
quality·
name
used in
●TypeScriptstrict mode, every file
●Ruff + MypyPython lint + types
●BufProtobuf lint + breaking-change checks
●Pytest · Vitestunit + integration
●Playwrightbrowser e2e + smoke tests
commerce·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs
product·
name
used in
●Linearissues, cycles
●Notiondocs + roadmaps
●Figmadesign + prototypes
●Dovetailuser research
← / →  switch category·scroll

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
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28
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31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

We're fans of a modern, scalable tech stack.

defaultshop.ai

claude — fish — 100×30

Our technology stack

hubblrv0.4.2·stack categories
languages·
name
used in
●TypeScriptfrontend, edge runtimes, agent SDKs
●PythonFastAPI services, data pipelines, agents
●Gohigh-throughput services, infra glue
●SQLPostgres-first · Atlas migrations · dbt
●BashCI, deploys, day-to-day glue
ai·
name
used in
●Claude CodeAI pair-programmer in the terminal
●MCP serversexpose internal tools to agents
●Gemini SDKlong-context multimodal, planning
●MastraTypeScript agent SDK
●Vercel AI SDKstreaming + tool-use on the edge
●Vercel Chat SDKproduction chat scaffold · resumable streams
●AI Gatewaymodel routing, observability, budgets
●v0AI-built UI scaffolds · ship to Vercel
●Langfuseproduction tracing + evals
●pgvectorRAG straight in Postgres
agentic commerce·
name
used in
●Agent Commerce Protocolopen spec for agent-to-merchant transactions
●Stripe Agent Toolkitagent-issued payments + checkout APIs
●Browserbaseheadless browser-as-a-service for agents
●StagehandPlaywright + LLM, structured browser control
●Computer UseAnthropic desktop control · agentic shopping flows
●LangGraphagent state machines · tool routing
●MCP serversexpose product catalog + checkout to agents
backend·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub
frontend·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android
devops·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions
quality·
name
used in
●TypeScriptstrict mode, every file
●Ruff + MypyPython lint + types
●BufProtobuf lint + breaking-change checks
●Pytest · Vitestunit + integration
●Playwrightbrowser e2e + smoke tests
commerce·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs
product·
name
used in
●Linearissues, cycles
●Notiondocs + roadmaps
●Figmadesign + prototypes
●Dovetailuser research
← / →  switch category·scroll

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

A fast moving team, fully enabled to deliver end to end.

In the new engineering era it's crucial that engineers are empowered to discover, scope and deliver features end to end while reducing dependencies to others. And we are a small team of opinionated people.

Entrepreneurial Mindset

Discover, Build, Iterate

Reduce Dependencies

Shorter Roadmaps

A fast moving team, fully enabled to deliver end to end.

Entrepreneurial Mindset

Culture has always been hugely important at HUBBLR, and we believe entrepreneurship matters. The qualities that come with it (e.g. taking ownership of a problem, running with it and just getting it done) are what we look for in our team members. We also understand that software ultimately needs to make money, so we keep that in mind throughout, looking for ways to have a positive impact on the bottom line, not just on the codebase.

Discover, Build, Iterate

We're huge believers that the best engineers are the ones who understand a problem end to end. So our engineers stay in a close loop with the problem, the users, and the business need before scoping a solution. We're also believers in shipping fast, and in cutting corners deliberately. Just never on safety, security, or scalability.

Reduce Dependencies

We've seen companies where delivering a feature end to end meant dependencies between three or more teams. With the shift to agentic engineering, we think that this has to change. Engineers should be able to take ultimate ownership of a problem, while getting the right, knowledgeable support along the way to scope a better solution.

Shorter Roadmaps

You'll find HUBBLR's team arguing for shorter scoped initiatives and tighter budgets. We understand delivery used to work differently, but software-enabled businesses face growing pressure to ship high quality output rapidly. To meet that, you need shorter timelines, more focus, and flatter hierarchies that allow for faster, decision making and a more flexible budget allocation.

A fast moving team, fully enabled to deliver end to end.

Entrepreneurial Mindset

Discover, Build, Iterate

Reduce Dependencies

Shorter Roadmaps

“

We were looking for a reliable external partner [for] one of our previously internally developed products. Together with HUBBLR we got up to speed in no time. The teams' flexible, fast and experienced way of working helped us to drive immediate value to our users…

Steffen Kramer

Project Manager

INITIONS

Case study

A white lighthouse at the end of a stone pier beside low harbour warehouses at dawn

CASE STUDY

Catching what CCTV couldn’t

We built a vision AI system that turns warehouse CCTV footage into actionable theft detection, in production.

Read the case study

Questions you might have

We already have an engineering team, why would we need this?

We understand that you have a team you trust. This isn't about replacing them, it's about giving them the extra capacity or specific expertise to hit a deadline or strengthen a weak spot.

How do you ensure quality and fit?

Every engineer in our network is pre-vetted. You meet them before anything is signed, and if something isn't working after we start, we address it immediately.

Will this hold up to technical due diligence?

Yes. Every engagement is documented, every decision is traceable, and we hand over everything a technical reviewer would want to see.

How do you handle confidentiality and IP?

Full confidentiality agreements, strict data handling protocols, and all IP stays with your organisation.

Questions you might have

We already have an engineering team, why would we need this?

We understand that you have a team you trust. This isn't about replacing them, it's about giving them the extra capacity or specific expertise to hit a deadline or strengthen a weak spot.

How do you ensure quality and fit?

Every engineer in our network is pre-vetted. You meet them before anything is signed, and if something isn't working after we start, we address it immediately.

Will this hold up to technical due diligence?

Yes. Every engagement is documented, every decision is traceable, and we hand over everything a technical reviewer would want to see.

How do you handle confidentiality and IP?

Full confidentiality agreements, strict data handling protocols, and all IP stays with your organisation.

Questions you might have

We already have an engineering team, why would we need this?

We understand that you have a team you trust. This isn't about replacing them, it's about giving them the extra capacity or specific expertise to hit a deadline or strengthen a weak spot.

How do you ensure quality and fit?

Will this hold up to technical due diligence?

How do you handle confidentiality and IP?

Next step

The right engineers, at the right moment.

Tell us where you are and we’ll tell you honestly whether and how we can help.

Book a Discovery Call

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Audit what is salvageable, take over the codebase and get delivery moving again.

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AI implementation consulting

Implement AI tools, workflows and governance once the right product direction is clear.

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Implement AI tools, workflows and governance once the right product direction is clear.

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I care about software that runs in production, not software that looks good in a demo.

With AI that matters more than ever. The interesting work starts after the prototype: wiring agents into real processes, owning the edge cases, and making sure it still works next month.

We stay until it is in your hands and your team can run it without us.

Xaver Ebner

Managing Director at HUBBLR Technologies

I care about software that runs in production, not software that looks good in a demo.

With AI that matters more than ever. The interesting work starts after the prototype: wiring agents into real processes, owning the edge cases, and making sure it still works next month.

We stay until it is in your hands and your team can run it without us.

Xaver Ebner

Managing Director at HUBBLR Technologies

I care about software that runs in production, not software that looks good in a demo.

With AI that matters more than ever. The interesting work starts after the prototype: wiring agents into real processes, owning the edge cases, and making sure it still works next month.

We stay until it is in your hands and your team can run it without us.

Xaver Ebner

Managing Director at HUBBLR Technologies

HUBBLR

Explore

Contact

Ship Products Faster Than Ever

The right engineers, in your organisation, when it matters most.

The right engineers, in your organisation, when it matters most.

The right engineers, in your organisation, when it matters most.

Building the right engineering team takes time most deal timelines don’t allow.

Every role your engineering team needs under one roof.

Every role your engineering team needs under one roof.

Every role your engineering team needs under one roof.

A process made straightforward by design

A process made straightforward by design

A process made straightforward by design

The right engineers, as invested in your success as you are.

Ready to find out?

The right engineers, as invested in your success as you are.

Ready to find out?

The right engineers, as invested in your success as you are.

Ready to find out?

What we value in working together

Working at eye level

Where business, product and tech meet

The courage to change

We're fans of a modern, scalable tech stack.

Our technology stack

languages

ai

agentic commerce

backend

frontend

devops

quality

commerce

product

We're fans of a modern, scalable tech stack.

Our technology stack

languages

ai

agentic commerce

backend

frontend

devops

quality

commerce

product

We're fans of a modern, scalable tech stack.

Our technology stack

languages

ai

agentic commerce

backend

frontend

devops

quality

commerce

product

A fast moving team, fully enabled to deliver end to end.

A fast moving team, fully enabled to deliver end to end.

A fast moving team, fully enabled to deliver end to end.

“

Case study

Catching what CCTV couldn’t

Questions you might have

We already have an engineering team, why would we need this?

How do you ensure quality and fit?

Will this hold up to technical due diligence?

How do you handle confidentiality and IP?

Questions you might have

We already have an engineering team, why would we need this?

How do you ensure quality and fit?

Will this hold up to technical due diligence?

How do you handle confidentiality and IP?

Questions you might have

We already have an engineering team, why would we need this?

How do you ensure quality and fit?

Will this hold up to technical due diligence?

How do you handle confidentiality and IP?

The right engineers, at the right moment.

Related services