Artificial Intelligence
At the forefront of intelligent innovation, our team builds robust, scalable AI solutions that transform user inputs into meaningful results across diverse industries. By leveraging the latest in AI research, cloud-native architectures, and automation, we develop highly adaptive applications that are both intuitive and powerful.
We have hands-on expertise integrating AI capabilities into real-time, production-grade systems—ranging from creative content generation and audio processing to real-time assistance in high-stakes scenarios.
We offer rapid IoT prototyping using industry-standard development kits such as ESP32, STM32 Nucleo, Raspberry Pi, Nordic nRF52, and more. Our team accelerates your proof-of-concept by integrating sensors, wireless modules (Wi-Fi, BLE, LoRa), and cloud platforms. This approach enables efficient hardware-software co-development, faster validation, and seamless transition to custom hardware design.
We specialize in building functional IoT hardware prototypes using popular development kits like ESP32, STM32, Raspberry Pi, and Nordic nRF52. Our process includes rapid integration of sensors, actuators, wireless modules, and power management components to test and validate hardware functionality.
AI Technologies Expertise
AI Frameworks Expertise
AWS AI & Serverless Components
Our AI deployments are built entirely on serverless cloud-native architecture, ensuring auto-scalability, low latency, and robust security.
Highly available and low-latency NoSQL database used to store generated content, user metadata, transcription results, and workflow states.
Centralized identity management system supporting native login and social login (e.g., Google OAuth). Ensures secure authentication and fine-grained access control.
Executes core business logic for AI interactions, audio processing, transcription parsing, and response generation in a scalable, event-driven manner.
Serves as a secure interface between clients (web/mobile apps) and back-end services, offering rate-limiting, CORS support, and token validation.
Stores user uploads (e.g., audio files), processed assets (e.g., generated images), and secure logs. All uploads are encrypted and lifecycle-managed.
Enables automated user engagement through notifications, verification emails, and alerts.
Full observability into AI execution pipelines, user interaction logs, and alert triggers. Helps maintain application health and uptime.
Ensures all services interact with the least-privilege permissions and follow AWS best
security practices.
AWS Cloud Engineering Capabilities