The problem
You pay for a foreign CRM that doesn't fit.
- The interface isn't in Uzbek
- Currency doesn't match local accounting
- Telephony doesn't plug into the workflow
The problem
FoundCRM — a modern CRM for the Uzbek market
Local companies pay for foreign CRMs, yet the interface language, currency and telephony never quite fit local workflows. They needed a CRM fully adapted to Uzbek and deployable on their own servers.
Before
After
- A foreign-language interfaceFully Uzbek, on your server
- Calls get lostMissed calls become tasks
- Hot leads are a guessAI points to hottest leads
The solution
How we made it simple
- 01
Turn the pipeline into a drag-and-drop kanban
- 02
Wire in telephony: one-click calls, automatic tasks
- 03
Let AI score every lead's potential
In a React + Node.js monorepo we built a complete CRM: a kanban pipeline (@dnd-kit), lead cards with a unified timeline, tasks, analytics (funnel, revenue, leaderboard), custom fields and global search. Socket.io powers realtime updates; provider-agnostic telephony adds click-to-call and auto follow-ups on missed calls. OpenAI scores each lead's potential.
Technologies
The result
AI lead scoring points the sales team at the hottest prospects
A drag-and-drop kanban pipeline with realtime updates
OpenAI-powered lead scoring and an analytics dashboard
Telephony: click-to-call and auto follow-ups on missed calls
“Foreign CRMs always felt half-alien. This one is in Uzbek, in so'm, and shaped to our workflow. And the AI scoring points the team at deals that actually close.”
Facing a problem like this?
On a free call we'll look at your situation and propose a solution with a written, fixed price.