Scalex partnered with the Client from ideation to launch, providing end-to-end product development expertise:
Discovery & Ideation: Scalex conducted intensive workshops with the founders to crystalize the AI assistant's
core functionalities, target user segments, and key performance indicators.
This involved user journey mapping, feature prioritization, and defining the minimum viable product (MVP).
AI Architecture Design: Our team designed a robust, scalable AI architecture leveraging a combination of fine-tuned
large language models (LLMs) for conversational understanding and generation, coupled with retrieval-augmented
generation (RAG) techniques to ensure factual accuracy based on their proprietary content.
Full-Stack Development:
- Developed the core AI inference engine, data pipelines for content ingestion, and APIs for seamless integration with their existing platform. We implemented sophisticated NLP models for question answering, content summarization, and sentiment analysis.
- Crafted an intuitive and responsive conversational UI, ensuring a natural and engaging interaction experience for learners across web and mobile platforms.
- Leveraged serverless computing and managed AI services on a leading cloud provider to ensure scalability, reliability, and cost-efficiency.
Deployment & Monitoring: Scalex managed the entire deployment process, implementing CI/CD
pipelines for rapid updates. Post-launch, we set up comprehensive monitoring dashboards to track performance, user engagement, and identify areas for ongoing improvement.