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Engineering Discipline for AI
Building an AI product is different from building traditional software. Models need training data. Performance needs constant monitoring. Edge cases multiply. What works in a notebook often fails in production. At Rubrec, we bring engineering discipline to AI product development. We understand both the possibilities and the pitfalls. We know how to take an AI concept from promising prototype to production system serving real users at scale. Whether you're building AI into an existing product or creating something entirely new, we provide the technical depth and product thinking to make it work.
What We Build
AI solutions across the product spectrum.
AI-Native Products
Products where AI is the core value proposition. Intelligent assistants, recommendation engines, automated analysis tools—built from the ground up around AI capabilities.
AI-Enhanced Applications
Existing products augmented with AI features. Smart search, personalization, content generation, predictive features—added thoughtfully to improve user experience.
Internal AI Tools
AI systems that improve your operations. Document processing, data extraction, automated workflows—built for your specific business context.
AI Platforms
Infrastructure for AI at scale. Model serving, feature stores, monitoring systems—the foundation for AI-powered organizations.
Our Process
From concept validation to production deployment.
Problem Definition
What are we actually solving? We work with you to define the problem precisely, identify success metrics, and understand the data landscape.
Feasibility Assessment
Can AI solve this effectively? We evaluate available data, technical approaches, and realistic performance expectations before committing resources.
Production Development
Full system development with proper engineering. Data pipelines, model training infrastructure, API design, integration, monitoring, and testing.
Deployment & Optimization
Production launch with performance monitoring. Continuous evaluation, retraining pipelines, and ongoing improvement based on real-world feedback.
Key Capabilities
AI expertise across domains and techniques.
Natural Language Processing
Text understanding, generation, and analysis. Chatbots, content systems, document processing, semantic search.
Computer Vision
Image and video analysis. Object detection, classification, OCR, visual inspection systems.
Recommendation Systems
Personalized suggestions based on user behavior and preferences. Content, products, actions—recommended intelligently.
Predictive Analytics
Forecasting and prediction models. Demand planning, risk assessment, churn prediction, resource optimization.
Generative AI
Content creation powered by large language models. Text, code, creative assets—generated with appropriate controls.
Selected Works
Real projects, real results. From global retail brands to healthcare platforms serving thousands of patients, here's a glimpse into the work we've delivered—and the impact it created.
FitAction
An advanced calorie tracking app powered by a 2 million item food database for 32 countries.
Heva Clinic
A custom healthcare software platform digitizing post-operative care and patient communication for Heva Clinic.
Vocappulary
An English vocabulary learning app featuring 20,000 curated words with smart repetition and progress tracking.
Why Rubrec for AI Products
What sets our AI development apart.
Full-Stack Capability
We build the entire product—not just the model. UI, backend, infrastructure, and AI working together seamlessly.
Production Engineering
We treat AI systems like production software. Proper testing, monitoring, error handling, and documentation.
Iterative Approach
AI products improve over time. We build for continuous learning, not one-time deployment.
Business Integration
AI doesn't exist in isolation. We integrate with your systems, workflows, and team capabilities.
Tech Stack
A carefully selected technology stack designed to ensure scalability, reliability, and long-term maintainability across platforms and systems.
Python
Pytorch
Tensorflow
Hugging Face
OpenAI
LangChain
ElasticSearch
OpenSearch