AI engineering & digital products
We build products from idea to revenue.
Golux Group combines AI engineering, product strategy, design, software development, brand and marketing in one accountable team. Some of what we build opens new revenue. Some of it removes cost from operations. Both show up in the P&L and we stay with them after launch.
- AI engineering
- Data
- Software
- Product design
- Cloud
- Automation
Trust & credentials
Built with the technologies your engineers already trust
We work with founders, CTOs and product teams across SaaS, commerce, logistics, healthcare and education. Our engineering runs on a mainstream, well-supported stack — nothing exotic your team cannot hire for or maintain.
- TypeScript
- React
- Node.js
- React Native
- Python
- PostgreSQL
- OpenAI & Anthropic APIs
- LangChain
- Vector databases
- AWS
- Docker
- Kubernetes
Client names and reference stories are shared on request, with their permission.
Core capabilities
Six capabilities, one delivery team
Take the full stack of capabilities, or the single one your organisation is missing. Either way you work with the same team and the same standard.
AI Engineering
We design and build production AI systems on your own data — from the first proof of value to a service your business can depend on.
Explore AI engineeringAI Agents and Automation
Agents and automated workflows that complete multi-step work end to end, with human review placed exactly where the risk sits.
See automation use casesData and Machine Learning
Pipelines, warehouses and machine learning models that turn scattered operational data into something your product and your decisions can use.
Explore data & MLCustom Software Development
Web platforms, APIs, integrations and cloud infrastructure engineered to stay predictable as your volume and your team grow.
Explore custom softwareProduct Design and Strategy
Discovery, product definition, UX architecture and design systems that make complex software feel obvious to the people using it.
Explore product designDedicated Engineering Teams
Senior engineers, designers and delivery leads embedded in your organisation, working to your rituals with our technical leadership behind them.
See how teams workAI engineering spotlight
What AI engineering actually means for your business
AI engineering is the work of turning a promising model into a system your company can rely on: connected to your data, measured against real outcomes, and safe enough to put in front of customers and staff. It is less about the model and more about everything around it.
Generative AI applications
Customer-facing and internal products where the interface is a conversation, a draft or a recommendation instead of a form.
Retrieval-augmented generation
Answers grounded in your own documents and systems, with sources attached, so people can verify what they are told.
AI agents
Systems that carry out multi-step tasks — gather, decide, act — inside clear boundaries and with approval steps you control.
LLM integrations
Language models wired into the tools your teams already use, rather than another tab nobody opens.
Intelligent search
Search that understands intent, so knowledge inside your organisation is found in seconds instead of asked for in a meeting.
Document processing
Contracts, invoices, forms and reports read, classified and turned into structured data your systems can act on.
Workflow automation
The repetitive judgement work between systems handled automatically, with people reviewing the exceptions.
Model evaluation and monitoring
Quality, cost and behaviour measured continuously, so you know when something drifts before your customers tell you.
Engagement models
Two ways to work with Golux Group
Some companies need a product delivered. Others need the right people inside a team that already exists. We do both, and we will tell you which one fits your situation.
Build a product with us
A defined outcome, delivered by a complete Golux Group team. We take responsibility for discovery, design, architecture, engineering and launch, working to a scope and a schedule you can plan a business around.
- Best for new products, MVPs and modernisation programmes
- One accountable team, fixed scope and clear milestones
- Documented handover so your people can carry it forward
Extend your team
Senior engineers, designers or AI specialists embedded alongside your own people. You keep the roadmap and the rituals; we bring capacity, specialist skills and technical leadership that scales up or down as the work changes.
- Best for teams with a roadmap and a capacity or skills gap
- Named specialists working inside your process
- Flexible team shape, month by month
Selected work
The problem, the engineering decision, the result
Every project below started as a business problem rather than a feature list: an operation that would not scale, a manual process eating a team's week, a product that could not survive its own growth. Open any one of them to see the constraints we worked inside, the architecture we chose and what changed for the client afterwards.
AI product
LifeCopilot
An AI-powered personal life management platform for goals, habits, routines and long-term life plans.
View projectAI platform
Merlin
A platform for building and managing digital products with AI: assistants, automation, research, development, marketing and SEO.
View projectMonitoring SaaS
CoinMarketNotifier
Crypto and stock portfolio monitoring with automated notifications on user-defined rules.
View projectFinance product
Cashflow
Personal and business cash flow management and planning in one view.
View projectMarketplace
Mentorstvo.rs
A mentorship and knowledge platform connecting mentors with the people who need them.
View projectWellness product
Ars Respirandi
A breathing, meditation and wellness platform with guided practice sessions.
View projectDelivery process
Six stages, from first conversation to continuous improvement
A process you can plan around: a weekly demo, written decisions, one point of contact and no black box between kick-off and launch.
- 01
Discovery
We map the business goal, the users, the constraints and the data you already hold, then agree what success will be measured by.
- 02
AI and Product Strategy
We decide where AI genuinely earns its place, what stays conventional software, and which slice to build first for the fastest proof of value.
- 03
Experience and Architecture
Interface and system design in parallel — prototypes people can react to, and an architecture that will still hold at ten times the volume.
- 04
Engineering
Delivery in short increments with working software at the end of each one, weekly demos and written decisions you can review.
- 05
Validation and Quality Assurance
Automated tests, security review, performance work and — for AI features — evaluation against real examples before anything reaches your users.
- 06
Launch and Continuous Improvement
A controlled release, monitoring of quality, cost and usage, and a roadmap for the next improvement rather than a farewell email.
Why Golux Group
Six reasons companies keep the engagement running
AI and software under one roof
Models, product and platform engineering live in the same team, so an AI feature is shipped into a real system rather than demonstrated beside one.
Business-first engineering
Work starts from the metric you need to move — hours saved, conversion, time to decision, cost per transaction — and technology choices follow from it.
Senior multidisciplinary teams
AI engineers, software engineers, designers, product thinkers and consultants who have shipped before and can argue their decisions.
Flexible engagement
Take a full delivery team, a dedicated squad or named specialists, and change the shape as the roadmap changes.
Clear communication
One point of contact, a weekly demo and decisions written down. No status theatre, no surprises at the end of a sprint.
Long-term product thinking
We build for the version of your product that exists in two years: documented, tested and maintainable by your own engineers.
About Golux Group
A multidisciplinary engineering team, not a resourcing desk
Golux Group brings together AI engineers, software engineers, designers, product thinkers and consultants who work as one group. That mix is deliberate: intelligent products fail far more often on unclear problems, weak data and poor experience than on model choice. The people who scope your work are the people who build it, and they stay close to it after launch.
More about usInsights
Practical writing on AI engineering and modern software
Guides and analysis on AI engineering, software architecture, product development and digital transformation — written for the people who have to make the decision and defend it internally, not for a keyword.
Read the insightsStart the conversation
Bring us the problem while it is still hard to describe
Whether you have an AI product idea, a workflow you want automated, an existing product that needs AI capabilities, or a software platform that has to be modernised — one call is usually enough to tell you whether it is worth building, what it will take and where we would start.
