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Technology

How we use technology to engineer business systems

We list only the technologies our team uses hands-on. For each, we show the typical use and the business value it delivers, instead of a wall of logos.

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Technology to purpose

What we use, and why

Frontend

  • ReactTypical useHigh-performance interfaces for web applications and SaaS productsBusiness valueInterfaces that stay fast and consistent as the product grows.
  • Next.jsTypical useServer-rendered websites and applicationsBusiness valueFast-loading pages that search engines can read.
  • TypeScriptTypical useTyped, maintainable code across web and servicesBusiness valueFewer defects, and code that is safer to change.
  • JavaScriptTypical useInteractive behavior in the browserBusiness valueRich experiences that work in every modern browser.
  • Tailwind CSSTypical useConsistent, maintainable stylingBusiness valueA coherent look delivered faster.
  • HTML and CSSTypical useSemantic, accessible, responsive pagesBusiness valuePages that load quickly and work for everyone.

Backend

  • PythonTypical useBusiness logic, data processing and AI integrationBusiness valueQuick delivery of business rules and a direct path to AI features.
  • DjangoTypical useSecure backend systems, APIs and business applicationsBusiness valueAdmin-ready, secure applications built on proven conventions.
  • Node.jsTypical useAPIs and real-time servicesBusiness valueResponsive services and live features such as notifications.
  • PHPTypical useWeb applications and existing PHP systemsBusiness valueCost-effective web applications and safe maintenance of systems already in PHP.

Mobile

  • iOSTypical useApplications for iPhone and iPadBusiness valueA polished experience that uses Apple platform features fully.
  • FlutterTypical useCross-platform apps with one codebaseBusiness valueOne team and one codebase for iOS and Android.
  • React NativeTypical useCross-platform apps in JavaScript and TypeScriptBusiness valueShared skills and logic with React web products.

Database

  • PostgreSQLTypical useReliable transactional data and complex business workloadsBusiness valueTrustworthy records for orders, stock and finance.
  • MySQLTypical useExisting systems and web application dataBusiness valueProven, widely supported storage.
  • MongoDBTypical useFlexible document dataBusiness valueFreedom for data whose shape changes over time.

Cloud & DevOps

  • AWSTypical useScalable cloud infrastructure and production deploymentBusiness valueCapacity that follows demand, without owning hardware.
  • DockerTypical useConsistent environments from development to productionBusiness valueFewer surprises at release time.
  • CI/CDTypical useAutomated testing and release pipelinesBusiness valueFaster, safer releases with fewer manual steps.

AI

  • Machine learningTypical usePrediction and classificationBusiness valueForecasts and classifications that support decisions.
  • AI and LLM APIsTypical useGenerative AI, assistants and document workflowsBusiness valueAssistants that save staff time on text-heavy work.
  • AI automationTypical useIntelligent workflows with human approvalBusiness valueLess repetitive work and fewer manual errors.

Engineering capabilities

Engineering Architecture

From what users see to how we know the system is healthy in production, this is the path we engineer.

  1. FrontendWeb and mobile interfaces
  2. APISecure, documented interfaces
  3. Business logicRules, workflows and AI
  4. DatabaseReliable, modeled data
  5. CloudDeployment and scaling
  6. MonitoringLogs, metrics and alerts

System architecture

Choosing structure and boundaries that fit today's needs and allow change.

API architecture

Consistent, versioned, documented interfaces between clients, services and partners.

Database architecture

Data models, indexing and migration plans that hold up as volume grows.

Authentication and authorization

Secure sign-in, sessions and role-based permissions enforced on the server.

Scalability

Designing so that capacity can be added without redesign.

Performance

Measuring and tuning response times and load behavior.

Caching

Keeping frequently used data close to the application to cut load and latency.

Background processing

Queues and scheduled jobs for slow, heavy or periodic work, off the request path.

Logging

Structured logs that make problems traceable without exposing sensitive data.

Monitoring

Metrics and alerts that show health, errors and usage after launch.

CI/CD

Version-controlled, automated build, test and release with a rollback path.

Cloud deployment

Reproducible environments on AWS, with backups and recovery planned.

Honest scope

Different stack?

Every project starts from your requirements, not from our favorite tools. If your organization uses technology that is not listed here, tell us. We will say plainly whether we have hands-on experience with it, and whether we are the right team.

Discuss your architecture

Share your current stack or your plans. An engineer will review them and reply with an honest view.

Discuss Your Architecture