AI & ML Integration
We help product teams move from AI curiosity to shipped capability. Whether it's embedding LLMs, building recommendation engines, or deploying computer vision models, we handle the full ML lifecycle.
What's included
- LLM integration (OpenAI, Anthropic, Gemini)
- Embedding and vector search systems
- Custom recommendation and ranking engines
- Automated data pipelines and feature stores
- Model evaluation, monitoring, and fine-tuning
How we work
01
Discovery
We map your goals, constraints, and users to align on scope and approach.
02
Design
UI/UX design, wireframes, and prototypes reviewed and approved before build.
03
Build
Agile sprints with weekly demos, full transparency, and continuous delivery.
04
Launch & grow
We deploy, monitor, and support your product well beyond launch day.
Related work
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AI Engineering · Backend Development
WhatsApp Flight Chatbot
A conversational WhatsApp chatbot that helps users search flights using natural language and real-time flight information via the AviationStack API.
Platform
HuggingFace
AI Model
Real-Time
Data
Desktop Utility Development
Context Maker for AI
A desktop utility that combines multiple project files into a single AI-ready context document, dramatically speeding up AI-assisted development workflows.
Hours
Time Saved
Tkinter
UI
AI-Ready
Output
Ready to get started?
Tell us about your project and we'll come back with a proposed approach within 24 hours.