Base Brain Build

Architecture-first engineering studio

Scalable systems, designed and built to last.

We design and build the backends, data flows and cloud infrastructure behind your product, so it stays reliable and fast as traffic and data grow. An experienced system architect leads every project.

Talk to an architect See our work

System architecture Distributed backends Performance under load Data integrations Cloud infrastructure Reliability

A system designed to scale out Users on web and mobile, and partner systems, reach your platform through a gateway that balances load across any number of stateless service instances. The services read from a cache, write to a primary database that copies data to read replicas, and send events to a queue that a pool of workers consumes. Metrics, logs and traces cover the whole platform. YOUR PLATFORM Users web · mobile Partners integrations Gateway load balancer Cache hot reads Services stateless N instances Queue events Replicas read-only Primary DB writes Workers async jobs Observability metrics logs traces A system designed to scale out Users on web and mobile, and partner systems, reach your platform through a gateway that balances load across any number of stateless service instances. The services read from a cache, write to a primary database that copies data to read replicas, and send events to a queue that a pool of workers consumes. YOUR PLATFORM Users web · mobile Partners integrations Gateway load balancer Services stateless N instances Primary DB writes Cache hot reads Queue events Replicas read-only Workers async jobs
Fig. 1. Built to scale out: add instances as traffic grows.
  • One team, every layerBackend, frontend and mobile engineers working from one design.
  • Remote-firstWe work in English with clients worldwide.
  • Two ways to engageFixed-price project or time & materials, whichever fits the work.
  • You own the codeWe work in your repositories and cloud accounts by default.

What we do

The systems your product runs on

Most of our work sits below the interface, in how data moves, how services talk to each other and how the system behaves under load.

  • Architecture

    Scalable system design

    We design the service boundaries, data models and failure handling of new systems, and review existing ones before growth exposes their limits.

    Typical work

    • Architecture for a new product or platform
    • Reviews of systems starting to strain
    • Migration plans for legacy systems

    Distributed systems Event-driven architecture Data modeling API design

  • Backends

    Distributed, high-load backends

    We build the services, APIs and workers that carry your traffic, with queues, caching and data stores chosen for the load you expect.

    Typical work

    • APIs and services for high-traffic products
    • Background processing with message queues
    • Real-time processing of live data

    Message queues Caching Relational and NoSQL databases Horizontal scaling

  • Performance

    Performance engineering

    We find where the time goes, in queries, services or infrastructure, and fix the slow parts, measuring before and after each change.

    Typical work

    • Database and query tuning
    • Profiling slow services and endpoints
    • Load tests and capacity planning

    Profiling Load testing Database tuning Capacity planning

  • Integrations

    Data flows and integrations

    We connect your system to partner APIs and third-party feeds, and keep data consistent as it moves between services, live or in batches.

    Typical work

    • Normalizing feeds from several providers into one model
    • Webhooks that send only what changed
    • Two-way sync with third-party platforms

    API integration Data pipelines Event streaming Change detection

  • Infrastructure

    Cloud infrastructure and reliability

    We set up the cloud environments, containers and deployment pipelines your system runs on, with monitoring, alerting and recovery plans built in.

    Typical work

    • Cloud environments defined as code
    • Deployment pipelines and container orchestration
    • Backups, failover and recovery testing

    Cloud infrastructure Containers Infrastructure as code Observability

What we build on top

The same team builds the apps and features that run on the systems we design.

  • Web appsBack offices, dashboards and customer-facing web apps, built on APIs we design.
  • Mobile appsCross-platform mobile apps that share a backend with your web product.
  • AI featuresLLM-based search, summaries and assistants, connected to your data, with cost and quality monitoring.

A good place to start

Architecture Review

For teams expecting more load, fighting slowdowns or deciding whether to rebuild.

A few weeks, with the scope fixed before we start.

Ask about a review

What you get

  • A map of your current architecture and data flows
  • Bottlenecks and failure risks, ranked by impact and effort
  • A target design and a step-by-step plan to reach it
  • A written report and walkthrough, yours to act on with or without us

Selected work

Systems built around live data

  • Trading back office for a sportsbook

    In progress
    Scope
    Backend, frontend, integrations
    Our role
    Architecture and delivery

    We designed the system around one canonical model of sports, competitions, matches and markets, with fixtures and odds from several providers. Traders create each match once, choose which source supplies each market, and reuse market settings such as minimum and maximum stakes across a whole competition or league. The design covers pre-match and in-play (live) markets from the first release.

    • Canonical data model
    • Multi-feed integration
    • Live data

  • Virtual sports feed relay

    Scope
    Backend service
    Our role
    Design and build

    The service polls a provider's XML feeds, works out what changed, and sends only those changes (deltas) to client systems as webhooks. Polling and change detection happen in one place, so client systems never have to poll the provider themselves.

    • Change detection
    • Webhooks
    • Feed integration

We leave out client names for confidentiality.

How we work

Pick the model that fits your project

Whichever you choose, the design work, code quality and communication stay the same.

  • Fixed scope

    Fixed-price project

    Best for well-defined work with a set budget and deadline

    We fix scope, milestones and price before work starts. If something changes, we price the change and get your written approval first.

    • One price for an agreed scope
    • Milestones with working demos
    • Acceptance criteria agreed up front

  • Flexible scope

    Time & materials

    Best for ongoing development, or products still taking shape

    The team works from your priorities, and you pay for the time spent at agreed rates. You can change direction without renegotiating the contract.

    • Priorities you can change as you learn
    • Roles you can add or remove as the work changes
    • Time reported against tasks

In every project

  • Direct contact with the engineers
  • Architecture decisions in writing
  • Code review on every change
  • Regular demos and progress updates

From first call to a running system

  1. Assess

    We study your product, expected load and any existing code, then agree on what the system must handle.

  2. Design

    We design the architecture, data model and failure handling, and write each decision down for your review.

  3. Build

    We build in short cycles, with load tests and demos of working software along the way.

  4. Launch and run

    We launch with monitoring and runbooks in place, then support and extend the system, or hand it over to your team.

FAQ

Common questions

Which technologies do you use?

We pick established technology that fits your load, your team and your budget. Our work covers distributed systems, event-driven design, message queues, caching, relational and NoSQL databases, containers, cloud infrastructure, observability and LLMs. If you already have a stack, we usually work within it.

Can you review or rescue an existing system?

Yes, including systems built by other teams. We usually start with an Architecture Review to find what makes the system slow or fragile, then give you a ranked plan. We can carry it out, or support your team while it does.

Can you work with our in-house team?

Yes. We can design the architecture and guide your engineers as they build, work inside your team, or own a clear part of the system from design to production. We write decisions down, so your team can carry on without us.

How do you work with remote clients?

We are remote-first and work with clients worldwide, in English. At the start we agree on shared working hours, channels and an update schedule, so you know what is happening and who to ask.

How do you price projects?

Fixed-price projects have one price for an agreed scope, quoted once we understand the work. Time & materials work is billed for the time spent, at agreed rates. The Architecture Review is fixed in scope and quoted before we start.

Who owns the code?

You do. The code, infrastructure definitions and documentation we produce for you are yours. By default we work in your repositories and cloud accounts, so nothing sits in systems you cannot reach.

Do you offer support after launch?

Yes. We can stay on for support and further development under time & materials, or hand over to your team with documentation, runbooks and a walkthrough. Either way, monitoring and alerting are in place before launch.

Contact

Tell us about your system

Send a few lines about what you are building or what needs fixing, and we will set up a call.