AI Solutions
Generative AI Product Development
The challenge
An impressive prototype is the easy part. Production AI products need evaluation, cost control, security, reliable infrastructure and a user experience people trust. We take product teams from proof of concept to a dependable product customers will pay for.
Capabilities
What we deliver
Product discovery and UX
Interaction design for AI features: streaming, citations, editing, confidence and feedback patterns that build user trust.
Full-stack engineering
Next.js, Python and cloud-native back ends designed for multi-tenant SaaS, with authentication, billing and analytics.
LLMOps
Prompt and model versioning, automated evaluation in CI, tracing and cost monitoring from day one.
Fine-tuning and model optimisation
Fine-tuning, distillation and model routing where they improve quality or reduce cost enough to justify the effort.
Typical deliverables
- Production application and infrastructure as code
- Evaluation suite integrated into CI/CD
- Security and threat-model review
- Product analytics and feedback loop
Technologies we use
- Next.js
- React
- Python
- FastAPI
- AWS
- Vercel AI SDK
Relevant industries
Generative AI Product Development: common questions
Can you work alongside our in-house team?
Yes. We can lead delivery, embed engineers in your team, or provide architecture and review support, and we plan handover from the start.
Who owns the intellectual property?
Under our standard terms, the client owns the bespoke code and deliverables we create for them. Specific terms are agreed in each contract.
Talk to us about Generative AI Product Development
Share your goals and constraints. We'll reply within one business day with practical next steps.