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Technology consultancy

KLR AI designs and builds the AI systems, software, platforms and brands that decide how fast a company can move. One partner, from the strategy through to the code that ships.

  • AI & Automation
  • Software & Platforms
  • Design & Growth

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What KLR AI does

We take what is tangled and send it out the other side as light.

Most companies do not have a technology problem. They have a clarity problem wearing a technology costume — six tools that half-overlap, a process nobody wrote down, a model that works in a notebook and nowhere else.

KLR AI is the consultancy you bring in to separate the signal. We map how your business actually runs, decide what should be automated, designed, rebuilt or deleted, and then we build it — the AI systems, the software, the platform, the interface, the brand around it.

Services

Six disciplines. One team.

Most problems do not respect the boundary between strategy, design and engineering. Neither do we — the same people carry a piece of work from the first conversation to production.

Capabilities

The whole surface, not a slice.

Thirty-six capabilities across six disciplines. The point is not the list — it is that a single team can carry a problem from a board conversation to a deployed system without a handover.

  • AI agents & copilots
  • Retrieval systems
  • Process automation
  • Document intelligence
  • Model evaluation
  • AI governance
  • Product engineering
  • SaaS platforms
  • APIs & integration
  • Internal tools
  • Data pipelines
  • Legacy modernisation
  • Marketing sites
  • Web applications
  • E-commerce
  • WebGL & 3D
  • Performance engineering
  • Accessibility
  • Brand identity
  • Product & UX design
  • Design systems
  • Motion design
  • Narrative & messaging
  • Prototyping
  • SEO & technical search
  • Performance marketing
  • Content systems
  • Lifecycle & CRM
  • Conversion optimisation
  • Attribution
  • Technology strategy
  • Cloud architecture
  • Cost optimisation
  • Security & compliance
  • Fractional CTO
  • Vendor selection

36 of 36 capabilities

Approach

A method, not a proposal template.

Four phases. The first two are short and cheap on purpose — you should be able to find out whether we are useful before making a large commitment.

  1. 01RefractWeek 1–2

    Separate the problem into its actual components.

    We sit inside the operation. We map how work really moves — not how the process document says it does — and we find where value leaks. You get a written view of your own business that is usually uncomfortable and always useful.

    You receive

    • Systems and process map
    • Opportunity model
    • Risk register
  2. 02FocusWeek 2–3

    Decide what to build, and what to refuse to build.

    Every opportunity gets sized against effort, payback and reversibility. We recommend a sequence and we are explicit about what we think you should not do. A shorter plan you finish beats a comprehensive one you abandon.

    You receive

    • Prioritised roadmap
    • Architecture direction
    • Commercials
  3. 03BuildOngoing

    Ship in slices, in production, in the open.

    Small, reviewable increments behind flags, with tests and monitoring from the first release. You see the work in a shared environment every week. There is no reveal at the end, because a reveal is just risk that was hidden until it was expensive.

    You receive

    • Working software
    • Weekly demo
    • Documentation as we go
  4. 04CompoundPost-launch

    Measure honestly, then improve or stop.

    Instrumentation is part of the build, not a follow-up project. We agree what success looks like before launch, report against it afterwards, and are willing to tell you when something is not working. Then we either hand over cleanly or keep going.

    You receive

    • Live metrics
    • Handover and training
    • Next-quarter plan

Technology

Opinionated about tools. Neutral about vendors.

Boring where it counts

Proven databases, proven runtimes, proven deployment. Novelty is spent on the part of the system that is genuinely novel, and nowhere else.

Portable by default

We avoid architectures you cannot leave. If a vendor becomes the wrong choice in two years, that should be an inconvenience rather than a rebuild.

Observable from day one

Logging, tracing and alerting ship with the first release. A system you cannot see inside is a system nobody can safely change.

TypeScriptPythonGoReactNext.jsNodePostgreSQLRedisGraphQLTerraformKubernetesDocker
Anthropic ClaudeOpenAIOpen-weight modelsVector searchLangGraphTemporalAWSAzureGCPCloudflareVercelDatadog

42 technologies in regular use — the right one for the problem, not the one we used last time.

Sectors

The same problems, in different uniforms.

We do not sell sector expertise. We sell a method that works across sectors — and these are the ones where the problems it solves turn up most often, with the pressure point named so you can recognise yours.

  1. 01

    Logistics & supply chain

    Exception handling, tracking, margin per load

  2. 02

    Healthcare services

    Booking, multi-site identity, patient-facing trust

  3. 03

    Financial services & fintech

    Cloud compliance, security review, cost attribution

  4. 04

    Manufacturing & industrial

    Quoting, document intake, pricing consistency

  5. 05

    Retail & e-commerce

    Storefront speed, merchandising velocity, attribution

  6. 06

    Professional services

    Research desks, knowledge retrieval, productising advice

  7. 07

    SaaS & technology

    Platform scale, AI in product, design systems

  8. 08

    Property & construction

    Tender intake, project visibility, field data

  9. 09

    Education & training

    Content systems, enrolment funnels, learner platforms

  10. 10

    Energy & utilities

    Asset data, reporting automation, legacy integration

Questions

The questions that come before the conversation.

Straight answers about money, ownership, timing and what happens when things go wrong — so you can decide whether to talk to us before you spend the time.

  • The first engagement — mapping and recommendation — is fixed price, because its scope is fixed. Build phases are either fixed-scope increments or a monthly embedded team, whichever fits how you work. Every proposal states what is in, what is out, and what would change the number. There are no time-and-materials surprises at the end of the month.

  • Usually within two weeks of a first conversation. The first phase needs access to the right people and systems more than it needs us, so if you can put us in front of the people who actually run the process, we can move quickly.

  • Yes, and we prefer it. We work in your repositories, your tools and your rituals rather than asking you to adopt ours. The measure of a good engagement is that your team can run and extend what we built after we leave.

  • Then that is what you get. The six disciplines exist because real problems rarely stay in one lane — not because every engagement needs all six. If the honest answer is that you need a website and nothing else, we will say so.

  • Yes. Send yours or use ours. We will never ask you to describe a sensitive problem in depth before one is in place.

  • You do. Code, designs, documentation, models — everything produced for you is yours on payment, with no licence-back and no dependence on us to operate it. Dependency is not a business model we are interested in.

  • Whichever fits the task: hosted frontier models, open-weight models you run yourself, or small fine-tuned models where latency, privacy or cost matter more than raw capability. We are not tied to a vendor and we will show you the trade-offs rather than a preference.

  • Remote-first, working across IST, CET and ET. Most clients never need us in a room. When they do, we travel.

  • We say so, early. Every engagement has defined checkpoints where either side can stop cleanly. We would rather lose a project than keep billing for something that is not delivering — and we will hand over everything we have done properly either way.

Start a project

A first conversation is a conversation, not a pitch. Bring the problem in whatever shape it is currently in — we will tell you honestly whether we are the right people for it.

Typical first engagement
2–3 weeks
Working model
Embedded, in your tools
Reporting
Weekly demo, monthly review
Handover
Documented, always