Embed a world-class AI engineering team into your organisation

We work embedded inside your company or as an independent speedboat moving fast without disrupting your day to day. Pre-vetted engineers, ready within days.

Book a discovery call

Embed a world-class AI engineering team into your organisation

We work embedded inside your company or as an independent speedboat moving fast without disrupting your day to day. Pre-vetted engineers, ready within days.

Book a discovery call

Embed a world-class AI engineering team into your organisation

We work embedded inside your company or as an independent speedboat moving fast without disrupting your day to day. Pre-vetted engineers, ready within days.

Book a discovery call

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.

Full stack software 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.

Full stack software 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.

Full stack software 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 go

Faster go-to-market

A process made straightforward by design

Discovery call

Team match

Embed and go

Faster go-to-market

A process made straightforward by design

Discovery call

We learn about your product, team structure, and what kind of engineering support you need.

Team match

We match you with the right engineers from our pre-vetted pool based on your stack, goals, and working style. You meet them before anything is signed.

Embed and go

Your team is introduced, onboarded into your tools and processes and contributing from day one.

Faster go-to-market

Learn more

A team as invested in your success as you are

Still on the fence?

Embedded or independent

Skin in the game

GDPR compliant

Fast to deploy

A team as invested in your success as you are

Still on the fence?

Embedded or independent

Skin in the game

GDPR compliant

Fast to deploy

A team as invested in your success as you are

Still on the fence?

Embedded or independent

Skin in the game

GDPR compliant

Fast to deploy

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.

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.

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

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.

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.

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.

Case studies

Invested in Business Goals

To build a successful product organisation, it is essential senior leadership needs to find clarity on the business strategy and tools to communicate that to the teams.

Reduce Complexity to ship faster

The monorepo is back and we're here for it. Shipping fast means cutting technical setup complexity and human complexity, controlling what your team (including your agents) can consume and own.

Rich in experience, agnostic in language.

The best people you can have are those eager to learn, eager to unlearn, and who've seen software products break at scale. With agentic engineering, the right instincts matter more than which language you know.

Case studies

Invested in Business Goals

To build a successful product organisation, it is essential senior leadership needs to find clarity on the business strategy and tools to communicate that to the teams.

Reduce Complexity to ship faster

The monorepo is back and we're here for it. Shipping fast means cutting technical setup complexity and human complexity, controlling what your team (including your agents) can consume and own.

Rich in experience, agnostic in language.

The best people you can have are those eager to learn, eager to unlearn, and who've seen software products break at scale. With agentic engineering, the right instincts matter more than which language you know.

Case studies

Invested in Business Goals

To build a successful product organisation, it is essential senior leadership needs to find clarity on the business strategy and tools to communicate that to the teams.

Reduce Complexity to ship faster

The monorepo is back and we're here for it. Shipping fast means cutting technical setup complexity and human complexity, controlling what your team (including your agents) can consume and own.

Rich in experience, agnostic in language.

The best people you can have are those eager to learn, eager to unlearn, and who've seen software products break at scale. With agentic engineering, the right instincts matter more than which language you know.

Questions you might have

01

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 skill set to hit a deadline or tackle something outside their current expertise.

02

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.

03

Do you work across all technical stacks?

Yes, we match engineers based on your specific stack and requirements.

04

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

01

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 skill set to hit a deadline or tackle something outside their current expertise.

02

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.

03

Do you work across all technical stacks?

Yes, we match engineers based on your specific stack and requirements.

04

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 skill set to hit a deadline or tackle something outside their current expertise.

How do you ensure quality and fit?

Do you work across all technical stacks?

How do you handle confidentiality and IP?

Related services

Product discovery & development

Software rescue project

AI implementation consulting

Related services

Product discovery & development

Software rescue project

AI implementation consulting

Related services

Product discovery & development

Validate what’s worth building before committing engineering capacity.

Get validated

Software rescue project

Recover stalled software work and turn unclear delivery into a focused recovery plan.

Get moving again

AI implementation consulting

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

Get AI ready

Ship Products Faster Than Ever

Embed a world-class AI engineering team into your organisation

Embed a world-class AI engineering team into your organisation

Embed a world-class AI engineering team into your organisation

The hiring process usually takes months. With us, you get qualified, senior engineers in [X].

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

A team as invested in your success as you are

Still on the fence?

A team as invested in your success as you are

Still on the fence?

A team as invested in your success as you are

Still on the fence?

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 studies

Case studies

Case studies

Questions you might have

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

How do you ensure quality and fit?

Do you work across all technical stacks?

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?

Do you work across all technical stacks?

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?

Do you work across all technical stacks?

How do you handle confidentiality and IP?

Related services

Related services

Related services