Cloud and AI engineering that holds up in production.

We help organisations design and build software on Azure, AWS and Google Cloud, put AI agents to work safely in real products, and give their engineers the skills to own what we build together.

Discuss your project Explore our services

What we do

Consultancy, delivery and training across the full life of a system, from first architecture to production.

  • AI engineering

    Generative AI that does real work: assistants grounded in your own data, agents that act on your business systems, and the evaluation and guardrails needed to run them safely in production.

    • Assistants and search over internal documents and knowledge bases (retrieval-augmented generation)
    • AI agents connected to business systems through APIs and the Model Context Protocol
    • Copilots and automation inside existing business applications

    Learn more

  • AI agent governance and security

    AI agents you can trust with real systems and real data: strict control over what they can access and do, protection against manipulation and data leaks, and measurable evidence of their quality before and after release.

    • Threat modelling and security reviews of AI agents, their tools and MCP servers
    • Least-privilege access, identity and secrets management for agents and the tools they call
    • Defences against prompt injection, data exfiltration and unsafe tool use, following the OWASP guidance for LLM applications

    Learn more

  • Cloud architecture and engineering

    Cloud platforms on Microsoft Azure, Amazon Web Services and Google Cloud that are secure, reliable and affordable to run, designed and built with your team.

    • Architecture design and reviews against well-architected principles
    • Landing zones, networking and identity foundations
    • Migration and modernisation to containers, Kubernetes and serverless

    Learn more

  • Software development

    Cloud-native applications, APIs and integrations, built alongside your engineers and handed over with the code, documentation and pipelines your team needs to carry on.

    • Web applications, backend services and APIs
    • Event-driven systems and integrations between business applications
    • Step-by-step modernisation of legacy applications

    Learn more

  • Technical training

    Hands-on workshops on cloud, AI and software architecture for engineers and technical leaders, with a prepared lab environment for every participant.

    • Cloud architecture on Azure, AWS or Google Cloud
    • Building generative AI applications and agents
    • Securing and governing AI agents
    • Serverless, event-driven integration and infrastructure as code

    Learn more

Problems we solve

Typical situations clients bring to us, and how we approach them.

An AI pilot that never reached production
We review the prototype, add evaluation and guardrails, and put it behind a gateway with monitoring, so it can be released to real users with confidence.
An AI agent the security team will not approve
We threat-model the agent and its tools, restrict what it can access, add approval steps and audit trails, and measure its quality with repeatable evaluations, so security and compliance teams can sign it off.
A cloud bill that keeps growing
We analyse the architecture and usage, deliver the quick wins, and put in place the tagging, budgets and reviews that keep costs under control.
An application that has to move to the cloud
We plan the migration, build the landing zone and delivery pipelines, and move workloads in stages instead of one risky cut-over.
A team new to cloud or AI
We run hands-on workshops built around your own scenarios, then work alongside your engineers on the first real project.

Why Kawatta

Senior and hands-on
Every engagement is led by an experienced engineer who designs and builds the solution, not passed down through layers of account management.
Independent across clouds
We work on Azure, AWS and Google Cloud, and recommend what fits your constraints, your skills and your budget.
Built for production
Security, cost, monitoring and upgrades are part of the design from the first day, because they decide whether a system survives its first year.
Yours to keep
Code, infrastructure definitions and documentation belong to you, and we transfer the knowledge so your team can carry on without us.

Ways to work together

Every engagement starts with a conversation about your goals, then a written proposal with a clear scope.

Assessment
A fixed-scope review of an architecture, a cloud platform, an AI initiative or the security of your AI agents, usually one to three weeks, ending with clear findings and a prioritised plan.
Project delivery
A defined outcome, such as a new application, a migration or an AI feature, designed and built with your engineers from first design to production.
Ongoing advisory
Senior architecture and technical leadership support for a few days a month, for teams that need expert input without a full-time hire.
Training
Workshops delivered on site or remotely, adapted to your platform, your use cases and your team’s level.

Have a project in mind?

Tell us about the system you are building, the platform you want to improve or the workshop your team needs. We will reply to arrange a short call.

Get in touch