Generative AI Development
Build & deliver generative-AI solutions for adaptive design, content, image generation, and rapid prototyping, so your teams ship faster with less overhead.
- Working prototype
- 2 to 3 weeks
- Production build
- 6 to 12 weeks
- Models
- OpenAI, Anthropic, Gemini, open source
Generative AI that does real work inside your business.
We build generative AI features and products that solve specific problems: drafting documents, summarising information, generating content and images, extracting data from messy inputs and assisting your team inside the tools they already use.
The difference between a demo and a dependable product is everything around the model. We design the retrieval, prompts, guardrails, evaluation and human review steps that make outputs accurate, on-brand and safe to put in front of customers.
We work across OpenAI, Anthropic, Google and open-source models, choose based on quality, cost and data requirements, and build so you can switch providers later without rebuilding the product.
- Teams spending hours on repetitive writing, research or data entry
- Products that want AI features customers will actually use
- Companies with large document libraries that are hard to search
- Marketing and creative teams scaling content production
Everything it takes, in one engagement.
Every part of generative ai development handled by one senior team, so nothing falls between suppliers and you always know who owns the result.
Use-case discovery
We identify where AI will save real time or create value, and where it will not, before anything is built.
LLM application development
Production applications and features built on large language models, integrated with your data and systems.
Retrieval over your data
Search and retrieval pipelines that ground answers in your own documents, so outputs are accurate and traceable.
Content and image pipelines
Automated workflows that generate, adapt and review text and images at scale, with brand rules built in.
Evaluation and guardrails
Test sets, quality scoring, safety filters and human review steps so you can trust what the system produces.
Cost and performance tuning
Model selection, caching and prompt optimisation that keep responses fast and running costs predictable.
- Use-case assessment and roadmap
- Working prototype tested with real users
- Production AI feature or application
- Retrieval pipeline over your content
- Evaluation suite and guardrails
- Usage and cost monitoring dashboard
Tools we trust in production.
Proven, well-supported technology chosen for your product, not for our habits. Everything here is something we run in production.
- OpenAI
- Anthropic
- Google Gemini
- LangChain
- Hugging Face
- Ollama
Python
FastAPI
PyTorch- Qdrant
PostgreSQL- Next.js
What this does for your business.
Hours back every week
Repetitive drafting, summarising and sorting move to AI, with people reviewing rather than starting from a blank page.
Output you can trust
Grounding, evaluation and guardrails mean answers are accurate, on-brand and traceable to their sources.
No lock-in
A provider-agnostic design lets you move to better or cheaper models as the market changes.
From first call to shipped.
A planned, transparent arc with something you can see every week, so you always know exactly where the work stands.
Discovery
Week 1We map the workflow, the data available and what a good output looks like, then pick the highest-value use case.
Prototype
Weeks 2 to 3A working prototype on real data, evaluated against examples you provide, so quality is measured rather than assumed.
Build for production
Weeks 4 to 9Integration with your systems, guardrails, review flows, logging and a proper user interface.
Evaluate and launch
Weeks 9 to 10A test set and quality thresholds agreed with you, then a staged rollout to real users.
Monitor and improve
OngoingOngoing monitoring of quality, cost and usage, with model and prompt updates as better options appear.
AI & DataA marketing agency gets an internal tool that drafts on-brand campaign copy and image concepts from a client brief, with human review built in and every output traceable to the brief and guidelines it came from.
Talk to us about a project like thisQuestions we hear a lot.
Something else on your mind? Ask Luma in the corner, or reach the team directly.
Ask a questionWe use enterprise API terms where your data is not used for training, keep sensitive data in your own infrastructure where needed, and can run open-source models privately when policy requires it.
Explore related services.
Need generative ai development done right?
Tell us about your project, we'll come back with a concrete plan and timeline.