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Platforms built to scale

Production-grade platforms built from the ground up. Cross-device applications with shared backends, payment processing, identity systems, real-time data pipelines, and AI-powered intelligence — shipped with CI/CD and monitoring from day one.

What We Build

  • Cross-device applications (web, mobile, desktop) with shared API backends
  • Payment processing integration (Stripe, Adyen, custom payment flows)
  • Authentication and identity systems (OAuth 2.0, SSO, MFA, RBAC)
  • Real-time data pipelines and event-driven architectures
  • AI-powered business intelligence and analytics dashboards
  • Cloud-native infrastructure (AWS, GCP, Azure) with IaC and auto-scaling
  • API design and microservices architecture
  • DevOps, CI/CD pipelines, and production monitoring

Our Stack

  • Frontend: React, Next.js, React Native, Astro — chosen per project, not per preference.
  • Backend: Node.js, Python, Go, .NET — whatever the problem demands.
  • Infrastructure: Docker, Kubernetes, Terraform, serverless — cloud-native by default.
  • Data: PostgreSQL, Redis, Elasticsearch, real-time streaming with Kafka or similar.
  • AI/ML: Custom model deployment, RAG pipelines, LLM integration, vector databases.

Platforms we build

"Platform" means different things to different clients. Most of our work falls into one of these:

  • B2C marketplaces — two-sided platforms with listings, search, payments, and trust / review systems. Performance and conversion matter as much as architecture.
  • B2B SaaS platforms — multi-tenant products with role-based access, usage metering, seat-based billing, and admin tooling. Designed to survive enterprise procurement.
  • Internal tooling — ops consoles, admin panels, and workflow systems that replace spreadsheets and manual handoffs. Usually the fastest ROI work we do.
  • Integration hubs — middleware that stitches together CRMs, ERPs, billing, and bespoke systems. Event-driven, observable, and idempotent by default.
  • Customer portals — self-serve accounts, document workflows, billing views, and support flows bolted onto existing back-office systems.
  • AI-native platforms — products where the core workflow is an LLM or agent system, built with evaluations, cost controls, and guardrails from the start.

Technologies we use

We're pragmatic, not dogmatic, but we have strong defaults — chosen because they let small teams ship fast and operate at scale.

  • Languages: TypeScript for almost everything on the web. Node.js for APIs. Go for high-throughput services or infrastructure tooling. Python where ML or data ecosystems require it.
  • Data: PostgreSQL as the default. Redis for caching and queues. Event streaming (Kafka, NATS, or managed equivalents) where throughput or decoupling demands it.
  • Infrastructure: Kubernetes when the footprint justifies it, Fly.io or managed services when it doesn't. AWS, GCP, and Fly as primary cloud targets. Terraform or Pulumi for infrastructure-as-code.
  • Auth: OAuth 2.0, SSO (SAML / OIDC), MFA, and RBAC. Either managed (Auth0, WorkOS, Clerk) or self-hosted depending on data residency constraints.
  • Payments: Stripe is the default. Adyen where multi-region acquiring matters. Bespoke flows for subscription, metered, and marketplace payouts.
  • Observability: structured logging, distributed tracing, and alerting from day one — not bolted on after launch.

Timelines and engagement

We scope against your launch date and work backwards. Indicative timelines based on recent work:

  • Most MVPs ship in 8–12 weeks. That's a real product with auth, core workflows, and a production deployment — not a throwaway prototype.
  • Production-grade platforms with auth, payments, multi-tenant architecture, and admin tooling typically take 3–6 months depending on integration surface.
  • Legacy takeovers begin with a 1–2 week audit so we can quote honestly before committing to a rewrite or a stabilise-and-extend plan.

How we're different

  • Senior hands only. No offshore bucket shops, no junior tier billed as senior. The people writing your code are the people who've built production platforms before.
  • Built to be handed over. We build it so you can hire a single engineer to maintain it. Minimal bespoke abstractions, clean domain boundaries, and documentation that reflects what we actually shipped.
  • Fixed-price phases, not open-ended retainers. Each phase has a scope, a price, and a demo at the end.
  • Operable from day one. CI/CD, monitoring, and rollback are first-class requirements, not line items to be descoped.

Industries We Serve

Our platform engineering expertise spans multiple verticals, with deep experience in:

  • Automotive - Fleet management platforms, dealer networks, connected vehicle systems
  • E-commerce - Multi-channel commerce platforms, marketplace infrastructure, subscription systems
  • Venture Capital - Portfolio analytics, deal flow platforms, LP reporting dashboards

Frequently Asked Questions

How long does a typical platform build take? +
Most MVPs ship in 8–12 weeks. Production-grade platforms with auth, payments, and multi-tenant architecture typically take 3–6 months. We scope against your launch date and work backwards.
What tech stack do you use? +
We're stack-agnostic but most commonly work with React, Next.js, Node.js, Python, and Go on the backend, with AWS or Vercel for infrastructure. We pick the stack that fits the problem, not the one we're most comfortable with.
Can you take over an existing codebase? +
Yes. We start with a technical audit to assess code quality, architecture, and technical debt. From there we either stabilise and extend, or recommend an incremental rebuild if the foundations won't support your growth plans.

Need a platform built?

Tell us the requirements and we'll come back with an architecture.

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