SaaS platforms · AI & technology

Real-time AI Analytics Microservices

Go and FastAPI services streaming AI analytics to live clients over WebSockets, deployed on Azure.

Illustration of the Real-time AI Analytics Microservices interface: Go and FastAPI services streaming AI analytics to live clients over WebSockets, deployed on Azure

The problem

Live sessions needed AI scores and feedback within milliseconds, for many clients at once.

What we built

  • Go services handling real-time event streams over WebSockets
  • FastAPI services for AI scoring and summaries
  • Docker images and CircleCI pipelines with zero-downtime deploys to Azure

Architecture

  • Go + FastAPI microservices
  • WebSocket fan-out to live clients
  • Azure, Docker, CircleCI

Results

Results aren't published yet. We only publish numbers we can stand behind.

Next step

Have a brief? Let’s talk.

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