Accelerating an AI Startup from Prototype to Production-Grade
Overview
ImagineX partnered with a technology company to transform their internally built AI application from a part-time effort into a production-grade product. ImagineX took ownership of development, design, and delivery — professionalizing the app and accelerating its roadmap for expansion to a broader audience.
Problem
App was not production-grade, lacking the tooling and observability needed to support and monitor it reliably
No visibility into performance or how the app would hold up under a rapid increase in users
Delivery velocity was too slow for the product's ambitions
No real roadmap, just a loose collection of ideas from a part-time team
Solution
ImagineX used Anthropic's Claude to accelerate delivery — writing code, exploring designs, automating integration and E2E testing, and shaping requirements. The team professionalized the AWS-hosted app into a cloud-native, AI-native product: adding Amazon Bedrock RAG, multiple model vendors (Claude, Llama 4, Gemini, Grok, GPT), and structured logging with OpenTelemetry in Datadog.
Outcome
Delivered 30+ features in roughly three months — work that would conventionally take a year or more
Established production-grade observability where there was none, enabling faster incident response and clear visibility into whether each change improved or regressed performance
Realigned a loose idea backlog into a focused roadmap built around external expansion and market launch readiness
Expanded the AI foundation by integrating new model vendors and adding new capabilities, broadening what teams can do within the app
Services Delivered
Enterprise Cloud-Native Engineering
Data & AI Innovation
Quality Engineering & Automation,
Product Management & Design
Agile Delivery & Transformation
Engagement Team
Engineering Lead
Staff Engineers
Senior Engineers
Designer
Program Manager
Technologies Used
Angular
Vite
Python
FastAPI
OpenTelemetry
AWS Bedrock
AWS ECS
AWS RDS
Claude Models and Cloud Sandboxes
Datadog
Fullstory