We bridge the gap between academic research and enterprise production. Custom LLMs, predictive modeling, and neural architectures designed for Vancouver's tech-forward leaders.
Vancouver has rapidly ascended as a premier destination for artificial intelligence and machine learning. With a deep talent pool stemming from world-class institutions and a thriving startup ecosystem, the city is at the forefront of the generative revolution. However, the challenge for modern enterprises is moving beyond "experimental" AI and into production-ready machine learning.
At NagoriTech, we provide AI consulting in Vancouver that focuses on tangible ROI. We don't just implement black-box solutions; we build custom, explainable models that integrate seamlessly into your existing software ecosystem. From Natural Language Processing (NLP) for customer service to Computer Vision for industrial automation in BC's resource sectors, our engineering is precise and purposeful.
Our philosophy centers on Ethical AI and data sovereignty. We ensure that your proprietary data remains yours, utilizing private cloud deployments and local data centers to comply with Canadian regulatory standards.
Fine-tuned Large Language Models (LLMs) specialized for your industry vertical and brand voice.
Object detection, classification, and visual inspection systems for retail and manufacturing.
Time-series forecasting and churn prediction models built on your historical data.
Automated pipelines for model deployment, monitoring, and retraining at scale.
The foundation of any machine learning project in BC is high-quality data. Our engineers assist in data collection, cleaning, and labeling to ensure that the "Garbage In, Garbage Out" trap is avoided. We build robust data pipelines that ingest information from disparate sources, transforming it into a structured format ready for model training.
Not every problem requires a massive transformer model. We evaluate your specific use case to determine the most efficient architecture—whether it's a Random Forest for tabular data or GPT-4 fine-tuning for complex reasoning. By optimizing for model size and inference speed, we reduce your long-term compute costs and improve user experience.
AI is not a "set and forget" technology. Models drift over time as real-world data changes. NagoriTech implements MLOps best practices, including automated monitoring and drift detection. We also provide strict governance frameworks to mitigate bias, ensuring your AI initiatives are ethical, fair, and compliant with emerging Canadian AI legislation.
We prioritize local data sovereignty. For sensitive applications, we deploy models on private cloud infrastructure within Canada, ensuring your data never leaves the country or trains third-party public models.
A Proof of Concept (PoC) typically takes 4 to 6 weeks. This allows us to validate the data, train an initial model, and demonstrate feasibility before moving to full-scale production.
Yes. Most modern AI solutions are delivered via microservices and APIs. We specialize in building 'middleware' that allows your legacy systems to communicate with advanced neural networks without requiring a full system overhaul.