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Software · Artificial intelligence · Automation

Intelligent software.Built for real-world impact.

We design and engineer bespoke software, AI-powered systems and intelligent automation that help businesses operate smarter, scale faster and build what comes next.

Founder-led engineering from the United Kingdom.

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Positioning

Complex technology. Made purposeful.

Most software problems are not really about code. They are about untangling how a business actually works, then rebuilding it as something reliable, observable and ready to grow. We take complex business and technical challenges and turn them into clear, dependable digital products — architected to last, instrumented to measure, and shaped around the outcome you need.

  • From tangled to structured

    We map the real workflow first — the edge cases, the handovers, the exceptions people work around — then design a system that fits it rather than fighting it.

  • Reliable by construction

    Type-safe code, tested paths, sensible boundaries and clear ownership. Software you can change confidently a year from now.

  • Measured, not assumed

    We instrument what matters so decisions are made on evidence, and improvements can be proven rather than hoped for.

Capabilities

One team across the full stack of your product.

Select a capability to see how it fits into a working system. Everything connects — the value is in how the pieces are architected together.

Build

  • When off-the-shelf software forces you to change your process, bespoke software changes to fit the process instead. We design and build tailored systems — internal platforms, operational tools, customer-facing products — engineered for your exact requirements and owned entirely by you.

Intelligence

Platform

Foundation

AI & automation

AI that works inside the business.

Not a chatbot bolted onto a homepage. We build AI and automation into the systems your team already uses — retrieving the right knowledge, making defensible decisions and triggering real actions, with a human in control where it counts.

How an intelligent workflow runs

  1. Input

    Data enters the system

    A request, a message, a document or an event arrives from a channel your business already uses.

  2. Interpret

    The system understands it

    Context is retrieved, intent is classified and the relevant knowledge is assembled — grounded in your data, not guesses.

  3. Decide

    A decision is made

    Rules and models agree on the next step, with confidence thresholds and a human checkpoint where the stakes require one.

  4. Act

    An action is triggered

    The system updates records, calls an API, drafts a reply or starts a downstream process — automatically and traceably.

  5. Return

    Results return to the business

    Outcomes flow back into your tools and dashboards, so the loop is measurable and improves over time.

Practical applications

  • AI agents that complete multi-step tasks
  • Intelligent assistants grounded in your knowledge base
  • Customer service automation with human hand-off
  • Workflow automation across existing tools
  • Knowledge retrieval over private documents
  • Internal AI tools for your team
  • Data integration and enrichment pipelines
  • Custom model integrations behind your API
Solutions in motion

See how the parts become a system.

The same building blocks — modules, data flows and integrations — combine differently depending on the outcome. Here is how they come together for common problems.

  1. AI-powered customer service

    Resolve routine enquiries instantly and hand the rest to your team with full context.

    1. Understand the enquiry

      Incoming messages are classified and grounded against your help content and account data.

    2. Resolve or route

      Straightforward questions are answered directly; anything sensitive is escalated with a full summary.

    3. Learn from every case

      Gaps in knowledge are surfaced so the system and your documentation both improve.

  2. Business process automation

    Turn a manual, multi-tool process into a single reliable, observable flow.

    1. Map the real process

      We document the actual steps — including the exceptions people handle by hand.

    2. Automate the path

      Each step is connected across your existing tools, with retries and logging built in.

    3. Keep a human in the loop

      Checkpoints pause the flow where judgement or approval is genuinely required.

  3. SaaS product development

    Take a product idea to a multi-tenant platform with auth, billing and scale in place.

    1. Shape the product

      Core flows, data model and tenancy strategy are defined before a line of feature code.

    2. Build the platform

      Authentication, permissions, billing and metering are established as foundations, not afterthoughts.

    3. Ship and iterate

      Instrumented from day one, so the roadmap is guided by how the product is actually used.

  4. Connected business systems

    Make your CRM, finance, operations and messaging tools behave as one.

    1. Establish a source of truth

      We agree where each piece of data lives and how it should flow between systems.

    2. Integrate resiliently

      Systems are connected with well-documented, fault-tolerant integrations.

    3. Keep data consistent

      Reconciliation and monitoring catch drift before it becomes a problem.

  5. Legacy platform modernisation

    Modernise a critical system incrementally, without stopping the business.

    1. Wrap and observe

      We add tests and observability around the existing system before changing it.

    2. Replace piece by piece

      New capabilities take over from the old, one bounded slice at a time.

    3. Retire safely

      The legacy system is decommissioned only once its replacement is proven in production.

  6. Cloud-native applications

    Applications built for reproducible deployment, observability and elastic scale.

    1. Design for the platform

      Stateless services, infrastructure as code and clean configuration boundaries.

    2. Automate delivery

      CI/CD makes deployments routine and rollbacks unremarkable.

    3. Scale with confidence

      Monitoring and cost visibility keep growth predictable and affordable.

Approach

Built with precision. Designed to evolve.

A pragmatic engineering process that stays understandable at every step. We combine product thinking with technical discovery, then build in a way that can grow with you.

  1. Discover

    We learn how your business really works — the goals, constraints, users and the edge cases that off-the-shelf tools ignore. Understanding the problem properly is where most of the value is created.

  2. Define

    We turn findings into a clear scope: what we are building, what success looks like, and the trade-offs we are choosing deliberately. You always know what is in and what is out.

  3. Architect

    We design the system — data model, boundaries, integrations and scaling path — sized for where you are now and where you are heading. Pragmatic, not over-engineered.

  4. Build

    We engineer in reviewable increments: type-safe, tested and documented, with working software you can see early and often rather than a single reveal at the finish line.

  5. Integrate

    We connect the system to the tools, data and teams around it, then harden it for production with monitoring, security and clear operational runbooks.

  6. Evolve

    We keep improving it with you — measuring real usage, refining what matters and supporting the system for the long term. Software is never finished; it is maintained well.

Technology ecosystem

A considered stack, not a wall of logos.

We choose tools for fit, longevity and the strength of their ecosystems — then compose them into architecture that is a pleasure to maintain. Grouped by where they sit in a system.

Frontend

  • React
  • Next.js
  • TypeScript
  • Tailwind CSS

Backend

  • Node.js
  • NestJS
  • Go
  • GraphQL

Mobile

  • React Native
  • Expo
  • Swift
  • Kotlin

AI

  • LLM APIs
  • RAG
  • Agent frameworks
  • Embeddings

Data

  • PostgreSQL
  • Supabase
  • Redis
  • Vector databases

Cloud

  • AWS
  • Cloudflare
  • Vercel
  • Serverless

Infrastructure

  • Docker
  • Terraform
  • CI/CD
  • Observability

Integrations

  • REST APIs
  • Webhooks
  • Stripe
  • Message queues

Tooling is chosen per project. This is representative of the technologies we work with, not a fixed list.

Selected work

Built to scale from the first commit.

Detailed case studies are on the way. In the meantime, these are representative examples of the kinds of systems we design and build.

  • Example project types — not real client work.

    AI & automation

    Intelligent Customer Service Platform

    An assistant grounded in a company's own knowledge base, resolving routine enquiries and escalating the rest to agents with full context.

  • Example project types — not real client work.

    Automation & integrations

    Business Automation System

    A back-office process spanning several tools, reimagined as a single observable workflow with retries and human approval checkpoints.

  • Example project types — not real client work.

    SaaS platform

    SaaS Operations Platform

    A multi-tenant product with authentication, role-based access, subscription billing and usage metering built in from day one.

  • Example project types — not real client work.

    System integration

    Connected Commerce Solution

    Storefront, payments, inventory and CRM connected into one consistent system, so data stays correct across every channel.

Why MK Cyber Tech

You work directly with the engineer building it.

MK Cyber Tech was founded by a software engineer who genuinely loves this craft — the architecture, the problem-solving, the moment a system finally clicks into place. That means direct technical communication, honest trade-offs, and someone who takes real ownership of what gets shipped.

  • Senior engineering

    The person scoping your project is the person architecting it.

  • Direct communication

    Plain answers about trade-offs, timelines and cost — no account-manager telephone game.

  • Pragmatic architecture

    The right amount of structure for where you are now and where you are heading.

  • Built around outcomes

    Decisions map back to a business result, not to a resume of trendy tools.

  • Scalable & maintainable

    Delivered so your team, or ours, can keep evolving it for years.

  • Long-term thinking

    We optimise for the total lifetime of the system, not just launch day.

Let's build

Have a complex idea?Let's build it properly.

Tell us what you are trying to create, improve or automate. We will help you turn it into a reliable digital product.