AI systems for real-world use, spanning models, learning, inference and intelligent applications.
Understand the world with multimodal AI.
Learn from data and interactions to improve over time.
Use local models and tools to complete useful tasks.
These projects explore different layers of modern AI systems. Together they show how production AI can perceive, learn, reason and act.
Multimodal AI System
Local media search across photos and videos using vision and language understanding.
Learning & Evaluation System
Learning-to-rank system that improves search quality through product interactions, better models and evaluation.
Local AI Financial System
Local-first portfolio analysis with local LLMs and deterministic financial tools for private financial data.
Run close to your data. On your device or in your environment.
Your data stays yours. Systems are designed around that constraint.
Testing, observability, reliability and maintainability from day one.
AI agents accelerate engineering while humans retain judgment and accountability.
openara.ai develops practical AI systems across model integration, learning, evaluation, local inference and intelligent applications.
Current projects emphasize local computing, privacy, production engineering and open source.
