We architect scalable AI solutions leveraging cloud-native MLOps, containerization, and generative AI capabilities. Our expertise spans data pipeline design, LLM integration, and edge computing implementations – enabling enterprises to transform their data into actionable intelligence through proven frameworks and industry best practices.
We architect scalable MLOps pipelines integrating traditional ML and GenAI workflows. Our solutions streamline model deployment using industry-standard tools like GitHub Actions, MLflow, and LangSmith. We design monitoring systems that track model drift, performance metrics, and prompt effectiveness to ensure reliable AI operations.
Transform your real-time video analytics with our edge-optimized neural architectures. We design TinyML and large language model solutions that achieve sub-millisecond inference on ARM-based microcontrollers, enabling local processing for smart cameras, IoT sensors, and embedded systems. Our containerized deployment framework ensures reliable over-the-air updates.
We architect federated data platforms leveraging domain-driven design principles and GenAI capabilities. Our solutions include API standardization, automated data quality pipelines, and decentralized data governance frameworks. We specialize in reducing data access friction while maintaining security and compliance across your enterprise domains.
