AI Products
Not 'AI that looks smart' — AI that actually gets used
What matters is whether LLMs and agents make a real dent in your product or operations. We build AI features that hold up in production, not just in demos.
01
Overview
Calling a model is easy. Making it into a feature people trust is something else. We design prompts, retrieval-augmented generation, agent orchestration and evaluation pipelines — end to end.
02
Tech Stack
03
Our Approach
- 01
Define the use case
We don't start from 'what can AI do' — we start from 'what problem could AI solve better'.
- 02
Data & RAG design
We design the data ingestion, preprocessing and retrieval strategy that makes answers trustworthy.
- 03
Build the agent
Tool use, multi-step reasoning and human-in-the-loop — all wrapped in a reliable agent.
- 04
Evaluate & operate
Automated eval sets and production logs let us measure quality and keep improving it.
04
Case Studies
- Marketing AI
Hoost.ai
LLM-driven marketing automation — ad copy, target segments and A/B testing, all automated.
- Education
TenX
Multimodal problem recognition with Socratic, step-by-step hint generation.
- RAG
Internal knowledge bot
RAG-based assistant trained on internal docs — reduces repetitive questions and speeds up onboarding.
Want to talk it through?
Tell us what you're building. We'll help design the right structure together — even a small idea is a good place to start.