AI added to a product you already run, without a rebuild
An integration layer behind a service boundary, so the model can be swapped later without touching your application.
2 wks
To a working POC
15
AI capabilities we build
9
Years in business
What you get
What every GPT integration includes
Calling a model is the easy part. We build the prompts, limits and fallbacks that make it dependable inside your product.
Talk through the use caseModel access behind your own service boundary
No provider lock-in at the application layer
Caching and routing to keep spend predictable
Our process
Four steps from idea to integrated feature
Small, testable and reversible.
- 01
Choose the feature
One place in your product where a model adds clear value.
- 02
Design prompts & outputs
Structured outputs, safety rules and the cost of each call.
- 03
Integrate
API calls, retries, caching and fallbacks inside your current stack.
- 04
Test, release & watch
Scored on real cases, released behind a flag, with spend and errors monitored.
Tech stack
What we build it with
Four layers, each chosen per project. Open one to see what sits in it and why.
Models & frameworks
The layer that generates. Chosen per task against quality, latency and cost.
Retrieval & data
Where grounded answers come from: your documents, indexed and tuned.
Serving & ops
How it runs in production, and how you see what it is doing.
Evaluation
How we know the output is good enough before a user sees it.
More AI capabilities
Fourteen more ways we apply AI
AI Software Development
End-to-end AI product builds.
AI Chatbot Development
Smart, conversational AI for business.
AI Agents Development
Linked agents for smarter tasks.
AI Voice Agents
Voice intake and call handling.
Generative AI Solutions
AI that creates and innovates.
LLM Chatbot Development
Grounded in your own content.
LLMs for SMEs & Enterprises
AI built to scale with you.
RAG Model Development
Smarter AI with search + generation.
Prompt Engineering
Better prompts, better results.
Machine Learning Development
AI that learns from your data.
NLP Development
Classification, extraction, sentiment.
AI Workflow Automation
Process automation that holds up.
AI MVPs & POCs
Proof before you commit to a build.
AI Consulting
Where AI pays off, and where it doesn't.
Frequently asked questions
The questions we get asked about AI
Data handling, output quality, cost and ownership.
Start with one feature
Two weeks, your product, a working integration and a cost per request.