Engineering value through AI
AI that reaches production
A great deal of AI work stalls somewhere between a promising pilot and something a business can depend on. We build the part that survives contact with real users and real data.
We are your experienced partner on the journey to becoming a data-driven and AI-powered enterprise. Most organisations do not struggle with ambition. They struggle with legacy systems, data silos, skill gaps and cultural resistance.
- A proof of concept works, but nobody can say what it would take to run it
- Data is spread across systems that were never designed to be joined up
- Models behave in testing and drift once they meet real traffic
- Nobody owns what happens when an AI system is wrong in production
Our expertise
Four disciplines that have to work together. Strategy needs engineering behind it, and engineering needs a data foundation underneath it.
AI Readiness & Strategy
Define a clear roadmap to turn your data into a strategic asset. We provide the guidance you need to start, scale and deliver tangible ROI.
AI & Machine Learning Engineering
We build AI applications and agents on the leading foundation models, and machine learning models where a problem calls for one, from recommendations and predictive analytics to natural language processing.
Data Platforms & Analytics
Our engineers build scalable, robust data platforms and pipelines: the essential foundation for powerful analytics and AI workloads.
Agile for AI Development
Our agile methods are tailored for complex data and AI projects, ensuring faster time-to-market and continuous delivery of business value.
Why choose Merapar?
Our unique approach is centred on collaborative execution and opinionated engineering, delivering measurable benefits that drive your business forward.
- Drive Growth & Maximise ROI: Make smarter decisions, boost productivity, and optimise resources to ensure cost-effective results.
- Ensure Agility & Resilience: Build flexible platforms that can adapt to market changes, provide personalised customer experiences, and run with continuous, reliable support.
Client case: what production actually demands
Hartley, one of our clients, is a household management app that reads, files and tracks the paperwork a home generates. Merapar built it for them end to end, from proof of concept to a live app on iOS and Android in under eight months.
The model choice mattered less than everything built around it:
- Trust was established before the build. Direct user research into how comfortable households are with an AI reading private documents shaped the roadmap before a single production feature was written.
- Multi-model by design. Gemini on Vertex AI for the consumer assistant, Claude on Amazon Bedrock running autonomous production triage. The architecture makes swapping models easy, because the landscape keeps moving.
- Quality held by automation. An evaluation harness replays test scenarios against every change, so agent quality is a build gate rather than a hope.
Responsible AI by design
In the age of AI, trust is not a given; it must be earned. Our commitment ensures we build solutions that are not only powerful but also ethical, transparent, and accountable. This mitigates risk, ensures compliance and builds a sustainable competitive advantage for our clients.
Governance
Establishing clear frameworks for accountability to mitigate unintended harms.
Compliance
Ensuring adherence to evolving regulations and industry standards like the EU AI Act.
Ethics
Promoting fairness, preventing bias and prioritising social responsibility in every solution we build.
AI in production, at our clients
Recommendation engines, content discovery and household assistants, built for real audiences rather than for a notebook.
Further reading and listening
PodcastEpisode 7: Why Media Organisations Need a Data Strategy
The key components of a successful data strategy for media companies, and practical advice on how to get started.
About the episode
BlogNavigating the Data & AI Revolution
Harness the power of the Data & AI Revolution with Alfa1 Group and Merapar. Our integrated approach combines strategic consulting and technical expertise to help your enterprise navigate transformation, overcome challenges, and achieve tangible ROI. We build not just algorithms and data lakes, but business value.
Read the post- Podcast
Episode 5: Getting up close and personal with AI & ML
The potential of AI and ML for broadcasters worldwide, from churn prediction to metadata enrichment and personalisation.
About the episode 
BlogEnhancing your Content Discovery with Semantic Search
Enhance content discovery with semantic search in TV and media platforms. Learn how advanced technologies like voice input and multimodal LLMs improve user satisfaction and engagement. Discover more in a demo!
Read the post- Podcast
Episode 9: AI won’t save you
Why most AI projects never scale, and what it really takes to scale AI that delivers impact.
About the episode 
BlogWhere OTT providers can create competitive advantage with recommendations
How OTT providers can use recommendations to engage viewers, lift retention and compete on experience rather than catalogue size.
Read the post
Start with the problem, not the technology
Most conversations we have begin with something that is not working: a pilot that cannot be put into production, data that will not join up, a model nobody wants to be responsible for. Tell us about yours and we will be straight with you about what it would take.