Built to ship
Engineered for real users from day one — auth, monitoring and scale included.
AI engineering studio
We build AI that actually ships.
Agents, assistants and AI-powered products — designed, engineered and launched by a senior team that measures everything.
We build with
OpenAIAnthropicGoogle GeminiMeta LlamaMistralAWSAzure
Services
End-to-end AI, from strategy to production
A single AI feature or a brand-new AI product — our team covers every step.
AI Agents & Automation
Autonomous agents that handle repetitive work across your tools.
Learn moreAI Assistants & Chatbots
Assistants that answer accurately from your own knowledge and data.
Learn moreAI MVP Development
Turn an AI product idea into a working MVP your users can try.
Learn moreAI Integration
Add AI features to the products and platforms you already run.
Learn moreMachine Learning & Data
Predictive models, computer vision and the data pipelines behind them.
Learn moreAI Strategy & Consulting
A clear, prioritised AI roadmap grounded in business value.
Learn more Live demo
Watch an agent do the work.
This support agent reads the inbox, understands each request, searches your knowledge base and drafts a cited reply — then waits for a human to approve.
- Connected to your real tools
- Grounded answers with citations
- Human approval where it matters
Why BetaMVPS
Production AI, not proof-of-concept theatre
Most AI projects stall after the demo. Ours launch, scale and keep delivering.
Weeks, not quarters
A working prototype fast, so you validate with real data before committing budget.
Model-agnostic
The right model for each job — commercial or open-source — tuned for accuracy, cost and speed.
Evaluation-driven
Every AI feature ships with automated evaluations. Quality is measured, never assumed.
Secure by design
Least-privilege access, private deployments and providers that never train on your data.
Zero lock-in
You own every line of code, prompt and model — documented for your team.
Solutions
Where AI makes the biggest difference
Use cases with clear, measurable impact. All solutions
Customer support
Resolve common questions instantly, triage tickets and draft replies for agents to approve.
Sales & marketing
Research leads, personalise outreach and produce on-brand content at scale.
Operations
Automate document-heavy processes and keep systems in sync without manual data entry.
Finance
Speed up reconciliation, invoice handling and reporting with full audit trails.
HR & people
Answer policy questions, screen applications fairly and streamline onboarding.
Knowledge work
Search, summarise and compare large document sets in seconds.
How we work
A proven path from idea to impact
Short, transparent phases with a working result at the end of each. Our process
Discover
1–2 weeksWe map your goals, users, data and constraints, then define the highest-value use case and how success will be measured.
Prototype
1–3 weeksA working prototype tests the riskiest assumptions with real data — so you see results before committing to a full build.
Build
4–10 weeksWe engineer the production solution in short sprints with weekly demos, evaluations and full transparency on progress.
Launch & scale
OngoingWe deploy, monitor quality and cost, and keep improving — or hand over to your team with documentation and training.
Ways to work with us
Engagements that fit your stage
Start with a fixed-scope sprint, or bring in a dedicated team. It all begins with a free consultation.
Start here
AI Discovery Sprint
2 weeks · fixed scope
Validate an AI opportunity before you invest in a build.
- Stakeholder workshops
- Use-case and data assessment
- Clickable or working prototype
- Architecture and cost estimate
Most popular
MVP Build
6–12 weeks · fixed milestones
Take a validated idea to a production-ready product.
- Product design and UX
- Full-stack development
- AI features and evaluations
- Deployment and launch
Scale
Dedicated AI Team
Monthly · flexible
A senior AI team working as an extension of yours.
- AI and full-stack engineers
- Product and delivery lead
- Weekly demos and reporting
- Flexible scope and capacity
Technology
The right tools for every problem
Leading models, frameworks and clouds — integrated with the systems you already run.
Models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
AI frameworks
- LangGraph
- LlamaIndex
- Vercel AI SDK
- PyTorch
- Hugging Face
Data & retrieval
- PostgreSQL + pgvector
- Pinecone
- Snowflake
- BigQuery
- dbt
Apps & cloud
- Next.js
- React Native
- Python / FastAPI
- AWS
- Azure
- Google Cloud
FAQ
Questions, answered
How quickly can you start?
We can usually begin a Discovery Sprint within one to two weeks of our first conversation.
How long does it take to build an AI MVP?
Most MVPs take six to twelve weeks, depending on scope, integrations and data readiness. We agree milestones up front so timelines stay predictable.
Who owns the code and IP?
You do. All code, prompts, models, documentation and intellectual property created for your project are transferred to you.
How do you handle data privacy and security?
We follow least-privilege access, keep your data in your environment wherever possible, sign NDAs and DPAs on request, and use model providers configured not to train on your data.
Which AI models do you use?
We are model-agnostic. We choose between providers such as OpenAI, Anthropic, Google and open-source models based on accuracy, cost, latency and data requirements for each use case.
Start a project
Have an AI idea worth building?
Tell us what you're working on. We'll reply within one business day with honest advice on the fastest path to results.