AI should move your business forward, not just add noise. We design and deliver AI products that create measurable impact, launching features fast, training large language models (LLMs) securely on your private knowledge, and building custom tools that unlock new ways of working.
From rapid prototypes to production-ready systems, every solution is tailored to your goals and workflows. You leave with scalable AI that feels natural in your business, accelerates decisions, and opens doors to entirely new opportunities.
AI Engineering & Product Development defines direction and ensures delivery by asking: Where will AI make a real difference? Who will it serve? Why will it matter?
Why It Matters
AI is powerful, but misplaced effort wastes time and budget. By targeting the right use cases, we help you gain quick wins and long-term impact.
Rapid AI Product Implementation
From idea to prototype in weeks, we deploy AI features fast to validate ROI and prove business value early.
Custom LLMs on Your Data
We fine-tune large models on your proprietary knowledge so they understand your industry, brand, and workflows.
Private Knowledge Integration
RAG pipelines connect your documents, systems, and data so AI assistants speak your language with context and accuracy.
AI Tools & Workflows
Chatbots, assistants, automation, and intelligent apps tailored to your goals and processes.
Engineering Discipline
MLOps, observability, and maintainable pipelines ensure speed never comes at the cost of quality.
Our AI Process
We follow a collaborative, engineering-first process that balances speed with robustness & security.
Step One
Discovery & Use-Case Alignment
We identify high-impact AI opportunities and set clear success metrics.
Step Two
Prototype & Validate
Rapid sprints deliver working AI features in weeks to prove ROI.
Step Three
Customisation & Integration
We fine-tune LLMs, integrate private data, and design workflows that fit your business.
Step Four
Deployment & MLOps
We ship production-ready AI solutions with pipelines, security, monitoring, and governance built in.
Step Five
Scale & Optimise
Ongoing support ensures your AI systems scale, adapt, and continue delivering measurable outcomes.
Case Studies
Tailored for Startups and Enterprises
AI isn’t one-size-fits-all. We adapt the approach to your stage and goals.
For startups, the focus is on speed and traction, prototypes/MVPs in weeks, AI features embedded into products, and fast ROI validation.
For enterprises, the focus is on structure and reliability, custom LLMs, private knowledge bases, and workflow automations built with engineering discipline.
What You Get
At the end of an Untapped AI project, you’ll have production-ready AI solutions and a complete operating toolkit to run, extend, and measure them with confidence.
AI features, end to end
Prototyped, built, validated, and deployed with clear ROI metrics.
Custom LLMs
Fine-tuned on your proprietary data, aligned to your brand voice and industry needs.
Private knowledge pipelines
RAG-enabled integrations pulling from your docs, systems, and tools.
AI assistants & tools
Bespoke chatbots, Q&A systems, and intelligent apps tailored to your workflows.
Workflow automation
ML-enhanced processes embedded into CRMs, ERPs, and internal systems.
MLOps pipeline
Training, deployment, monitoring, and version control for scalable AI ops.
Security and compliance
Enterprise-grade encryption, access controls, and audit trails baked in from day one, so your data stays protected and every interaction is fully traceable.
Observability
Dashboards for model performance, usage, errors, and business KPIs your teams actually use.
Roadmap and estimates
Phased plan, risks, and effort breakdowns stakeholders can approve.
Runbooks and diagrams
Architecture, data flows, and governance guides for smooth handover.
Handover and training
Live walkthroughs and Q&A so your team can own, adapt, and extend with confidence.
Post-launch options
Optimisation and iteration packages that prioritise value without locking you in.
Together, these deliverables give you a complete AI operating toolkit to bridge vision and execution. From rapid feature launches and custom models to workflow automations and observability, you’ll have everything needed to scale AI with clarity and control. We can extend the stack to suit your context, but this set forms the core foundation for success.
Ready to Build AI that Delivers Real Results?
AI done right is an advantage. AI done wrong is a distraction. We help you focus on the right applications and engineer solutions that prove value fast.
Let’s talk about how our AI Engineering & Product Services can deliver features, models, and workflows that matter to your business. Book a virtual coffee or in-person session, and we’ll map the clearest path from idea to impact.
FAQs
1. How fast can you deliver an AI prototype/MVP?
We always look to validate as fast as possible. It depends on the brief but typically deployments are in 4-6 weeks for first features, with some full solutions in 90 days.
2. Do you build custom models?
Yes. We fine-tune LLMs on your proprietary data so outputs are accurate, brand-aligned, and domain-specific.
3. Can you integrate with our systems?
Absolutely. We connect to CRMs, ERPs, SharePoint, Slack, or custom APIs so AI fits into your workflows.
4. Will the AI be secure and maintainable?
Yes. We build with proven engineering practices: MLOps, observability, and governance are part of every project.
5. What happens after launch?
You get dashboards, runbooks, and training. We can continue with optimisation sprints or hand over for your team to own.
