- Fintech
- Healthcare
- Retail & E-commerce
- Mobility & Logistics
AI development that earns its place in your product
Assistants, smart search, document automation and internal copilots, built into the apps and platforms we deliver, with the guardrails and monitoring production needs.
- 300+
- Clients served since 2014
- 100+
- Engineers, designers & specialists
- 2014
- Building software since
High-performing and custom-built AI Development services
Collaborative process
Weekly demos, a shared board and a named lead, so you always know what's done and what's next.
Security by default
Least-privilege access, secrets out of the code and dependency scanning in every pipeline.
Quality engineering
Code review, automated tests and real-device QA before anything reaches your users.
Predictable delivery
Two-week sprints with a working build at the end of each, priced and planned up front.
Process
From idea to AI in production
Small, measurable steps, so you see value before committing to a bigger build.
- 01
Use-case workshop
We find where AI pays off, what it will cost to run, and which ideas to skip.
- 02
Data & feasibility
We check your data, privacy constraints and the models that fit.
- 03
Prototype & evals
A working prototype measured against real examples before full build.
- 04
Build & integrate
The feature built into your app or workflow, with fallbacks and human review where needed.
- 05
Monitor & improve
Quality, latency and cost tracked in production and tuned over time.
It starts with a free 30-minute call.
Get a free estimateWhere we add AI
We start with the job to be done, then pick the smallest model and pipeline that does it reliably.
In-app assistants
Chat and voice assistants inside your Flutter or web app that answer from your data and hand over to a human when needed.
Semantic search & RAG
Search that understands meaning, grounded in your documents with sources on every answer.
Document & workflow automation
Extraction, classification and routing for invoices, forms and requests, wired into the systems you already use.
Internal copilots
Assistants trained on your docs, tickets and data that help your team find answers and draft work faster.
Recommendations & vision
Personalisation, image recognition and on-device ML where it improves the product, not just the pitch deck.
Guardrails & evaluation
Evals, cost controls, privacy reviews and monitoring, so quality and spend stay predictable after launch.
What will you get from working with us
Long-term, personalised development with a modern stack, responsive interfaces and security built in.
Expertise & experience
Engineers who ship AI features into real apps, with evaluations, guardrails and cost controls from day one.
- Applied AI engineers
- Model-agnostic approach
- Evaluation & testing
- Process transparency
Support & security
We prioritise security and support for a seamless user experience, with robust practices, continuous monitoring and a dedicated team.
- Monitoring & evals
- Data privacy
- Integration services
- Cost control
They worked with a structured delivery plan and were responsive throughout the process.
Experienced experts for your AI Development
Check the success stories of our clients below.
Our capabilities in AI Development
From the first screen to the systems behind it, our team covers what your product needs.
In your product
- Chat assistants
- Semantic search
- Recommendations
- Image recognition
- Voice features
- On-device ML
In your operations
- Document extraction
- Request routing
- Workflow automation
- Email & ticket triage
- Data enrichment
- Reporting
In your team's hands
- Internal copilots
- Knowledge bases (RAG)
- Code assistants
- Meeting summaries
- Sales assistants
- Training & rollout
You hire professionals with the right experience
- Claude
- OpenAI
- Gemini
- Llama
- LangChain
- pgvector
- Pinecone
- Python
- TensorFlow Lite
- Firebase ML
- Vertex AI
- AWS Bedrock
FAQ on AI Development
Is our data safe when you build AI features?
We use providers that don't train on your data, keep sensitive data in your cloud where needed, and run open models on your own infrastructure when privacy rules require it.
How much does it cost to run AI features?
It depends on usage and model choice. We estimate running cost during the prototype, then use caching, smaller models and limits to keep the monthly bill predictable.
How much does a Flutter app cost?
It depends on screens, integrations and back-end work; dedicated developers are billed monthly. After a 30-minute call we send a written, fixed-scope estimate with every assumption spelled out, so you can compare it line by line.
How long does a first release take?
Weeks rather than months once discovery is done. We scope the first release into two-week sprints and write the assumptions down, so the timeline you sign off is the one we plan against. Larger products ship in phases, with a usable build at every step.
Why Flutter instead of two native apps?
One Flutter codebase reaches iOS, Android, web and desktop, so you fund one team, one backlog and one QA cycle. Native still wins for heavy on-device compute, deep OS integration or AR-first products, and if that's you, we'll say so.
What happens after launch?
OS and Flutter upgrades, performance work, monitoring and new features, either through a retained team or a fixed number of days per month.
Can you take over our existing app or work with our team?
Yes: React Native or legacy native migrations, Flutter code audits, and engineers embedded in your team.
Get started
Let's build your ai
Tell us what you're building. We'll come back with questions and a clear, fixed-scope estimate.
Tell us about your project
A few details are enough. We'll take it from there.