Seven disciplines, one system. See it workNew York · Lagos · Remote-first
Systems architecture & engineering

Engineering Intelligent Systems

Automade Studio is a systems architecture and engineering firm. We build production software, AI and agentic systems, data platforms, cloud and security as one architecture.

AUTOMADESoftware & Platforms SoftwareAI & Agents AIAutomation AutomationData Platforms DataCloud & Infrastructure CloudCybersecurity CybersecurityGrowth Systems Growth AUTOMADE

Apps are easy to generate. Systems that last are not.

Automade Studio in 36 secondsSeven disciplines, one system

AI can produce a working prototype in an afternoon. It can't decide how that prototype survives real users, real data, real payments and real attackers.

That is where most generated software breaks: no data model, no security boundary, no monitoring, and no plan for ten times the traffic.

Automade Studio is built for that gap. We are architects and engineers first. We map the data flows, trust boundaries, failure modes and running costs, then build with the right tools for the job, AI included. You get infrastructure your company can run on for years, not a demo you rebuild in six months.

  • Survives failures, traffic spikes and abuse
  • Security boundaries at the edge and the gateway
  • Heavy work runs in the background, with retries
  • Logs, metrics and traces from the first release
  • Documented, tested and ready to hand over
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Web appMobile appPartner APIEdgeTLS, firewall, rate limitsAPI gatewayauth, versioningServicesEvent queueWorkersretriesDatabasebackups, replicaVector indexWarehouseObservabilitylogs, metrics, tracesSecrets vault
What we build

Seven disciplines, engineered as one system

Hire us for the whole build or for a single layer. Every discipline shares the same foundation, so the product, the data, the automation and the security work together.

Software & Platforms

SaaS products, marketplaces and internal platforms, with the APIs between them, engineered to run for years.

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AI & Agents

Agents and retrieval that do real work inside your business, with permissions, audit trails and a person in the loop.

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Automation

The manual steps between your tools, replaced with workflows that recover from failure and run unattended.

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Data Platforms

Pipelines, warehouses and indexes that make your data trustworthy for people, dashboards and AI alike.

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Cloud & Infrastructure

Cloud architecture, delivery pipelines and reliability, with the cloud bill treated as an engineering number.

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Cybersecurity

Security designed into the architecture, reviews that find the gaps attackers use, and a response when something goes wrong.

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Growth Systems

The engineering behind acquisition and retention: CRM, outbound, funnels and the data that ties each touch to revenue.

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Every service, in detail

Pick a discipline to see what we deliver and the tools we use. Each one has its own page with working mockups.

Software & Platforms

We build the software companies run on.

Multi-tenant SaaS products, two-sided marketplaces and booking platforms, operational platforms, customer portals and the APIs that connect them. Every system starts with an architecture pass: the data model, the API contract, the authentication and authorisation model, the deployment topology and the cost curve.

What we deliver

  • Architecture and data-model design, with decision records
  • Multi-tenant SaaS platforms and internal tools
  • Marketplaces, booking and reservation systems, payments and payouts
  • Background services: job queues, schedulers, workers and event pipelines
  • REST and GraphQL APIs, webhooks and partner integrations
  • Web apps in Next.js, React and TypeScript; mobile in React Native and Flutter
  • Desktop apps in Electron and browser extensions for Chrome (Manifest V3)
  • Backend services in Node.js (NestJS, Express), Python and Go
  • Product and UX design: research, wireframes, prototypes and design systems in Figma
  • Legacy modernisation and re-platforming

Typical stack

  • TypeScript
  • Next.js
  • React
  • Node.js
  • NestJS
  • Express
  • Python
  • Go
  • PostgreSQL
  • MongoDB
  • Supabase
  • Drizzle
  • Tailwind CSS
  • MUI
  • Redux
  • React Query
  • Electron
  • Swagger
  • Figma

See it work.

An example: one new customer, onboarded by a system built across all seven disciplines.

A workflow diagram. A sign-up from the CRM passes a security check at the edge, reaches the platform API, starts an automated onboarding workflow, is split by an AI agent into three tasks, lands in the data warehouse, and all of it runs on monitored cloud infrastructure.
00 / 08Seven disciplines

Watch one request travel through all seven.

    Reach

    Remote-first. Global by design.

    We work with clients online, wherever they are. Most of our team works remotely, and our offices are where we meet, not where the work is limited to.

    Registered office · client meetings

    New York

    United States

    Operating office

    Ikoyi, Lagos

    Nigeria

    Client markets
    United States · United Kingdom · Canada · Australia · Worldwide
    Engineering team
    North America · Europe · Africa · Asia
    Working model
    Remote-first, available around the clock.
    How an engagement runs

    Scope. Architect. Build. Operate.

    Every engagement follows the same four stages, so you always know where we are and what happens next.

    Pick a stage to see what happens

    01

    We start with a call, then send a written scope with milestones and clear acceptance criteria. If we aren't the right team for it, we'll tell you.

    Industries

    A flexible foundation for every sector

    Production systems for teams in sectors where uptime, data and compliance matter. The architecture carries across industries; the details are learned for each one.

    Hospitality & travel

    • Booking and reservation engines
    • Guest messaging and AI concierge
    • Revenue and occupancy dashboards

    Real estate & PropTech

    • Listing platforms and portals
    • Lead routing into the CRM
    • Document and deal workflows

    Financial services & compliance

    • Onboarding and KYC flows
    • Audit trails and access control
    • Reporting pipelines

    Healthcare operations

    • Scheduling and patient intake
    • Secure records and messaging
    • HIPAA-ready architecture

    Retail & e-commerce

    • Storefronts and checkout
    • Inventory and order sync
    • Personalised recommendations

    Legal technology

    • Matter and case management
    • Document review with AI
    • Client portals

    Marketing & agencies

    • Campaign and content automation
    • Attribution and reporting
    • Client dashboards

    Logistics & operations

    • Dispatch and tracking
    • Route and capacity planning
    • Partner and carrier integrations

    Professional services

    • Client onboarding and billing
    • Internal tools and knowledge search
    • Workflow automation

    Engineering discipline, on every engagement

    Six commitments we keep on every project, whatever its size.

    01 / 06

    Architecture first

    We design the data model, APIs, authentication, security boundaries and deployment before the first sprint begins.

    • Decision records you keep
    • Cost curve planned up front
    02 / 06

    API-first by default

    Web, mobile and partner apps all run on the same API, so every channel shares one backend.

    • One backend for every client
    • Versioned and documented
    03 / 06

    Documented as we build

    Product specs, decision records, tests and handover notes are part of the delivery, written while the work happens.

    • Specs and runbooks
    • Tests with every milestone
    04 / 06

    Built to be operated

    Monitoring, environments and runbooks ship with the system, and we stay accountable after launch.

    • Logs, metrics and traces
    • On-call when you need it
    05 / 06

    You own everything

    Your code in your repositories, your infrastructure in your accounts, your credentials in your hands. No lock-in to us.

    • Your repos, your cloud
    • Full handover at any time
    06 / 06

    Honest scoping

    A written scope with milestones and acceptance criteria before any build, and a straight written answer when the answer is no.

    • Milestones and acceptance criteria
    • A clear no when we're not the fit

    Frequently asked questions

    What does Automade Studio do?

    We are a systems architecture and engineering firm. We design, build and run production systems across seven disciplines: software and platforms, AI and agents, automation, data, cloud, security and growth, engineered as one architecture.

    Can we hire you for a single layer instead of the whole system?

    Yes. Many engagements start with one discipline, such as an AI agent, a data pipeline or a security review. Because every discipline shares the same foundation, it fits into the rest of your system when you are ready.

    Who owns the code and the infrastructure?

    You do. Code lives in your repositories, infrastructure in your cloud accounts and credentials in your hands. There is no lock-in to us.

    How does an engagement start?

    With a scoping call, then a written scope with milestones and acceptance criteria. If we are not the right team for the work, we say so in writing.

    What happens after launch?

    Every system ships with monitoring, environments and runbooks. We can run it for you, including on-call, or train your team to run it, and we stay accountable either way.

    Where are you based?

    We are remote-first. Our registered office is in New York, for client meetings, and our operating office is in Ikoyi, Lagos. We work with clients in the United States, the United Kingdom, Canada, Australia and worldwide.

    Contact us to discuss your project

    Tell us what you're building, or what's slowing you down. We'll come back with how we would architect it.

    Talk to an engineer
    Support agentOnline · answers from your systemsGuardrails on
    Hi, I'm the support agent. I can look up orders, apply the refund policy and summarise tickets. Anything that moves money needs a person to approve it.
    Concept screens. Tap around, they work.Tool use over your APIsHuman approval for moneyAnswers cite sources

    AI that does real work, safely.

    We build agents that act inside your business: they read your data, call your systems through the same APIs as your apps, and take steps on their own where it is safe to. Where it is not, such as moving money or contacting customers, a person approves first.

    Retrieval comes before generation. Agents answer from your documents, tickets and databases, cite where each answer came from, and say so when they don't know, so people can check the work instead of trusting it blindly.

    Every agent ships with evaluation suites, guardrails, permissions and an audit trail. Models change and prompts drift, so we test behaviour on every release and keep cost and latency visible from day one.

    What we deliver

    • Agent design: tools, permissions and human-approval steps
    • Retrieval over your documents, tickets and databases
    • Support, operations and sales agents that act through your APIs
    • Multi-agent workflows with clear hand-offs
    • Evaluation suites, regression tests and release gates
    • Guardrails: prompt-injection defence, privacy filters and limits
    • Audit trails and cost and latency monitoring
    • AI features inside your existing product

    Typical stack

    • OpenAI
    • Anthropic
    • Open-source models
    • LangGraph
    • LlamaIndex
    • pgvector
    • Pinecone
    • Python
    • TypeScript
    • FastAPI
    • Redis
    • PostgreSQL

    Questions we get asked

    Will the agent make decisions on its own?

    Only where you decide it can. We set what each agent may do alone, what needs a person to approve, and what it may never do, and we log every action.

    How do you stop it making things up?

    Agents answer from your own sources and cite them. We test grounding in the evaluation suite, and when the sources don't cover a question the agent says so instead of guessing.

    Is our data used to train models?

    No. We use providers and settings that don't train on your data, keep data in your accounts where possible, and apply privacy filters before anything reaches a model.

    How do you know it works before launch?

    Every behaviour has a test suite: real questions with expected outcomes. A release only goes out when it passes, and the same tests run on every change.

    Can you add AI to our existing product?

    Yes. We add AI features through your product's existing API and permissions, so they respect the same roles and data boundaries as the rest of the app.

    Other disciplines

    Ready to put AI to work, safely?

    Every enquiry gets a written reply from an engineer, not a sales sequence. Available around the clock.

    Let's engineer ithello@automadestudio.com · New York · Ikoyi, Lagos · US · UK · Canada · Australia · Worldwide