DexKorCRM

Category: Information Technology & Software & SaaS (Software-as-a-Service) 

Startup Summary 

DexKor is an Indian AI-powered SaaS startup that builds a unified customer experience and operations platform for businesses. It combines CRM, customer success, support, and workflow automation into one cloud suite, using intelligent agents and predictive AI to help teams boost productivity, prevent churn, and improve customer outcomes.  

First Byline: AI-Powered CRM & Customer Experience, Unified.  

Second Byline: Smarter Customer Operations with Intelligent Automation.  

Highlights 

• End-to-end lifecycle coverage: DexKor connects marketing, sales, pre-sales, onboarding, support, customer success, and product teams within one unified ecosystem.
  
  

• AI at the core: Predictive intelligence helps teams anticipate customer needs, reduce churn, and identify growth opportunities.
  
  

• Single source of truth: All customer interactions, insights, and workflows live in one platform — eliminating data silos and disconnected tools.

• Built for revenue growth: Designed not just for management, but for measurable impact on retention, expansion, and lifetime value.

• Operational efficiency: Reduces manual work through automation and intelligent workflows across departments. 

Team 

Richard Samuel — CEO & Co-Founder

• 14+ years in product support & operations (Shipsy, Unicommerce)

Shashank Srivastava — CTO & Co-Founder

• 16+ years in technology & operations

Neshat Ghazali — COO & Co-Founder

• 14+ years in operations leadership

What They Do 

• Unify customer data across pre-sales and post-sales touchpoints into one centralized system.

• Enable omnichannel engagement across email, chat, demos, and support channels.

• Deliver predictive insights that guide sales strategies, onboarding priorities, and account growth.

• Automate repetitive processes such as ticket routing, follow-ups, onboarding tasks, and reporting.

• Align cross-functional teams — ensuring sales, customer success, product, and engineering work from shared insights. 

Pain Points 

• Disconnected systems across teams
  Marketing, sales, support, and product teams operate on separate tools, creating fragmented customer data.

• Lack of a unified customer view
  No single source of truth leads to incomplete context during sales, onboarding, and support interactions.

• Poor cross-functional collaboration
  Sales, customer success, and product teams struggle to align due to siloed workflows and limited information sharing.

• Manual handoffs between stages
  Transition from pre-sales to onboarding and support often results in lost insights and repeated conversations.

• Delayed visibility into risks and opportunities
  Without real-time insights, churn signals and expansion opportunities are identified too late.

• Inconsistent customer experience
  Customers receive mixed messaging and inconsistent service across different touchpoints.

• Limited data-driven decision making
  Teams rely on reactive reporting instead of predictive insights to drive growth and retention.

Solution 

• AI-powered CRM & Sales Management: Manage pipelines, track deals, and improve forecasting accuracy.

• Pre-Sales & Demo Enablement: Structure discovery, solution mapping, and product demonstrations.

• Customer Onboarding & Implementation: Ensure smooth transitions from closed deal to successful adoption.

• Intelligent Helpdesk & Support: Streamline service operations with smart ticketing and automation.

• Account Management & Growth Intelligence: Identify upsell, cross-sell, and retention opportunities.

• Product & Engineering Collaboration: Close the feedback loop between customers and product teams.