Cynara

AI systems built for the real world.

AI is not a feature you simply add. It has to fit your software, your data, your workflows, and the way your business operates. We help organisations design, build, and deploy AI systems that create real value — while keeping ownership, control, and long-term maintainability.

Every engagement is delivered by experienced software engineers. No hand-offs. No black boxes. No unnecessary dependency.

Five ways we help organisations use AI.

01

Product

AI Products & Software Development

Build AI that belongs in your business.

We build AI products, intelligent features, and custom software systems designed for production. Sometimes AI is the right solution; sometimes traditional software is. We combine both — using the right engineering approach for the problem, not forcing AI where it doesn't belong.

From prototype to production. Built to be understood, maintained, and owned by your team.

What we build

  • AI products

    New products and platforms where AI is central to the experience.

  • AI features

    Intelligent capabilities added to software you already use.

  • Custom software

    Complete systems where AI is one component among many.

  • Production AI

    Reliable systems designed for real users, real workloads, and long-term operation.

02

Advisory

AI Strategy & Advisory

Decide where AI actually creates value.

Most organisations do not need more AI ideas — they need better decisions. We help you understand where AI can improve your business, where it cannot, and what approach makes technical and economic sense.

Independent by design. We advise — we do not resell a technology stack.

What we help with

  • AI opportunity assessments

    Identify valuable use cases without chasing hype.

  • Readiness reviews

    Understand whether your data, systems, and organisation are prepared.

  • Build vs buy decisions

    Choose the right path based on your situation — not vendor recommendations.

  • Architecture decisions

    When to use AI, when to use deterministic software, and how they should work together.

03

Private AI

Private AI Infrastructure

AI you control.

For organisations where data ownership, compliance, economics, or performance matter, we design and deploy private AI environments — from individual deployments to full GPU infrastructure.

Your models. Your data. Your infrastructure.

The private-AI argument

What we build

  • Private AI deployments

    Run models in environments you control.

  • DGX & GPU clusters

    Infrastructure for demanding production workloads.

  • Hybrid AI architectures

    Combine private systems with cloud resources where it makes sense.

  • On-prem AI

    Keep sensitive workloads inside your own environment.

04

Integration

AI Integration & Agentic Workflows

Make your existing systems intelligent.

The future is not replacing every business system you already have — it is connecting them. We integrate AI agents with the tools your organisation already depends on, using open standards such as MCP.

Designed for the way enterprises operate — works with your existing stack, uses open standards, avoids unnecessary vendor lock-in.

What we connect

  • Enterprise systems

    CRM, ERP, databases, and internal platforms.

  • Knowledge systems

    Documents, internal knowledge bases, and operational information.

  • Business workflows

    Processes where AI can reduce manual work and improve decisions.

05

GEO

Generative Engine Optimisation (GEO)

Make your business understandable to AI.

Customers increasingly use AI systems to discover, compare, and evaluate companies. We help organisations become visible and correctly represented in generative search.

No black-box scores. No guaranteed rankings. Only findings you can inspect and improvements you can measure.

What we improve

  • AI-readable content

    Structure information so AI systems can understand your expertise.

  • Technical signals

    Improve the foundations that influence how your business is interpreted.

  • Knowledge accessibility

    Make your information easier for AI systems to find and use.

What organisations usually come to us for.

Internal AI tools

Custom AI applications built around the workflows your teams already use — not experiments that look impressive in a demo, but tools designed for adoption.

Decision support systems

AI that helps people analyse information, identify patterns, and make better decisions, with transparency into how recommendations are produced.

Data foundations

AI depends on reliable information. We help structure fragmented data so your systems produce useful answers instead of confident guesses.

Production AI systems

Moving AI from prototype to dependable operation — architecture, deployment, monitoring, security, documentation. Everything needed after the demo.

Why our approach is different.

Anyone can connect an AI model to an application. The difficult part is building something your organisation can depend on.

Production AI requires

  • Sound architecture
  • Reliable software engineering
  • Realistic economics
  • Operational ownership
  • Long-term maintainability

That is where our experience matters. We've spent decades building software systems that businesses rely on. AI is the latest technology — the engineering standards remain the same.

Not sure where AI fits?

Most organisations don't need a bigger AI strategy — they need clarity on the right next step. A 30-minute conversation is often enough to identify whether there's a meaningful opportunity, or whether AI isn't the right answer.