AI Integration
Add intelligence to what you already have.
You don't need to rebuild to add AI. We integrate LLMs, copilots, and smart features into your existing product, grounded in your data and measured for quality, not bolted on for show.
What's included
What we build
How we work
Discovery & scope
We start with a call to understand the problem, the constraints, and what success looks like, then agree a clear scope and timeline.
Design & architecture
We map the solution before writing code: the flows, the data, and the architecture, so there are no surprises mid-build.
Build & iterate
We ship in short cycles with working software you can see, give feedback on, and course-correct early.
Launch & support
We deploy, monitor, and hand over a clean, documented codebase, and stay available for what comes after launch.
What you walk away with
- AI features integrated into your current stack
- Retrieval (RAG) grounded in your own data
- Evaluation so you can trust the output
- Cost and latency tuned for production
Typical stack
Related work
AI Interview Platform
An end-to-end hiring engine that screens resumes, ranks candidates, and orchestrates AI-led interviews, deployed on AWS for elastic scale.
Frequently asked
Do we need to rebuild our product to add AI?
No. The whole point of integration is adding intelligence to what you already have, without a rewrite.
How do you keep the AI accurate?
We ground responses in your own data with retrieval (RAG) and put evaluation in place so you can measure quality rather than hope for it.
Which models do you use?
Whatever fits the task and budget, we often route between providers like OpenAI and Anthropic to balance cost, speed, and quality.
Can you control cost?
Yes. We tune prompts, caching, and model choice so the feature stays affordable at production volume.
Explore other services
Need ai integration?
Tell us what you're trying to build. We'll scope it with you in a 30-minute call.