AI Solutions for Founders Who Ship
Embed intelligence into your product with AI features that create real business value, not just a demo.
Everything you need,
nothing you don't
Scope
- •GPT-powered chatbots and in-product assistants
- •Custom ML model development for domain-specific problems
- •NLP and document AI (extraction, summarisation, classification)
- •Predictive analytics features built on your own data
- •LLM integration architecture: prompting, RAG, and cost/latency tuning
Who This Is For
Product teams who want to add a genuine AI feature, not a wrapper around a generic chatbot, grounded in their own data and workflows.
- ✓Have a product workflow that could be automated or accelerated with AI
- ✓Want an AI feature grounded in your own data, not a generic chatbot wrapper
- ✓Need help thinking through cost, latency, and accuracy tradeoffs before building
How we deliver
ai solutions
Discover
We identify the workflow AI should improve and what "correct" looks like for it.
Design
Prompt and architecture design: model choice, RAG, or fine tuning as needed.
Build
Feature development with evaluation against real sample data, not just demos.
Launch
Cost and latency tuning, then rollout behind monitoring and guardrails.
Grow
Ongoing prompt/model iteration as usage patterns and models evolve.
Battle-tested tools for ai solutions
Real work, real results.
Mastory – AI Kids' Stories
A full-stack product design and development engagement for an educational platform serving kids and families across the US and UK.
View case study →"Working with this team felt like having a co-founder who actually ships. They understood our vision immediately and translated it into a product our kids genuinely love using."
Questions, answered
Do you build custom models, or integrate existing LLMs like GPT?
Most product AI features are best served by integrating and fine tuning around existing LLMs (OpenAI, open-source models) rather than training from scratch. We’ll tell you honestly which approach fits your use case.
How do you handle AI feature cost and latency?
We architect around prompt design, caching, and model selection to keep response times and API costs predictable at scale. This is scoped explicitly and not an afterthought.
Can you add AI features to our existing product?
Yes, most of our AI engagements are additive features (search, assistants, document processing) layered onto an existing product rather than being built from scratch.
What data do you need from us to build an AI feature?
It depends on the feature, but generally: sample data representative of real usage, and clarity on what a correct output looks like. We’ll help you identify gaps during discovery.
Other services
Web Development
We craft high-performance web applications that scale. From marketing sites to complex SaaS products, every build is optimised for speed, SEO, and long-term maintainability.
Explore →App Development
Native-quality mobile experiences on iOS and Android. We design, engineer, and launch apps that users love and that hold up under real-world conditions.
Explore →UI / UX Design
Research-backed design that converts visitors into loyal users. We create intuitive interfaces grounded in real user insights, delivered as production-ready design systems.
Explore →Got an idea?
Let's build it.
Tell us what you're working on. We'll match the right team and approach to make it real.