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Case study · AI platform

Paal AI

A white-label AI assistant platform on Telegram, Discord and the web, configured without code.

Paal AI, client work by Sortup
Sector
AI platform
Country
United States
What we did
AIWeb
Stack
  • Django
  • Redis
  • LangChain
  • Python
  • WebSockets
  • LLM streaming
Client
PAAL AI, a Web3 and AI company building assistants and automation tools.
Engagement
We built the bot creation and orchestration platform. Users create assistants, research workflows and trading helpers without writing code.

The challenge

Running custom AI agents on Telegram, Discord and the web meant complex backend wiring, per-user API key management and low latency on live market data.

The solution

One backend with streaming LLM responses, live web data, custom knowledge embeddings and multilingual support, including right-to-left languages, as microservices behind REST and GraphQL APIs that businesses can brand as their own.

The impact

  • Users create and deploy their own bots without writing code.
  • One backend streams responses to Telegram, Discord and the web.
  • Right-to-left languages, including Urdu, are supported end to end.
All client work

Building something like Paal AI?

No pitch deck. An engineer, and a straight answer.