Context before response
Every reply should start with the customer, channel, history, order, intent, and next best action already visible.
About Lamdesk
We are building the customer operations layer for AI-first teams.
Lamdesk brings every customer conversation, campaign, voice call, AI agent, and workflow into one clear workspace so teams can support faster, sell smarter, and keep context intact.
Live operations
All queues connected
Gmail
Voice
Shared customer record
12
channel types organized
24/7
AI coverage for repetitive work
1
customer timeline for every team
Why we exist
Customer teams should not need ten disconnected tools to hold one conversation.
The modern customer journey jumps between ads, chat, WhatsApp, calls, order questions, support issues, and follow-ups. Lamdesk is built to keep that journey connected.
Automation with judgment
AI should handle repetitive work, summarize handoffs, and escalate clearly when a human should take over.
Growth and support together
Campaigns, click-to-ads, voice follow-up, and support operations should share the same customer record.
What we are making
One workspace that can capture, understand, act, and learn.
Lamdesk is not just an inbox. It is a connected operating system for support, revenue, and customer operations.
Capture
Live chat, WhatsApp, Instagram, email, voice, and ads
Understand
AI intent, sentiment, language, profile, and conversation history
Act
Reply, route, assign, campaign, call, tag, or trigger a workflow
Learn
Analytics, outcomes, team performance, and customer lifecycle signals
Connected workflow
From message to action
Incoming signalA customer asks about delivery on WhatsApp after clicking an ad.
AI contextLamdesk reads order status, history, language, and likely intent.
Team actionThe issue is routed, summarized, tagged, and ready for reply.
How we think
Our product decisions are shaped by the teams using Lamdesk every day.
We design for busy operators who need fast answers, clean handoffs, measurable outcomes, and tools their teams can trust.
Useful speed
Fast setup matters only when the workspace stays reliable after volume grows.
Plain operations
Teams should see queues, owners, campaigns, automations, and handoffs without hunting through tools.
Secure foundations
Customer messages, contacts, orders, calls, and AI context need careful permissions by default.
Global product, local fit
Lamdesk is built for WhatsApp-first businesses, multilingual teams, and modern commerce workflows.
Support
Campaigns
Voice
Workflows
Our team
Meet the people building Lamdesk for customer-first companies.
Led by our founders, Lamdesk brings together product, engineering, customer success, growth, and operations talent focused on practical AI for modern customer teams.
Founder
Anand Mishra
Co-founder & CEO
Product direction, company strategy, and customer operations
Founder
Ankit Mishra
Co-founder & CMO
Growth, brand, partnerships, and market expansion
Dev Rao
Integrations Engineer
Commerce, ads, and channel systems
Mohit Jain
Frontend Product Engineer
Fast dashboards and settings surfaces
Diya Iyer
Content and Brand Manager
Product stories and education
Kabir Gupta
QA and Launch Specialist
Release checks and customer readiness
Arjun Singh
Backend Platform Engineer
Messaging, routing, and reliability
Meera Singh
Customer Analytics Analyst
Reporting, outcomes, and insights
Priya Sharma
Product Engineering Lead
Inbox and workspace experience
Kavya Nair
Growth Operations Manager
Campaigns and lead journeys
Rahul Mehta
Product Designer
Clear, fast operator workflows
Simran Kaur
Support Operations Specialist
Queue quality and team workflows
Platform story
We keep expanding around the same promise: more context, less busywork.
01
Inbox
Unified customer conversations across chat, social, email, and voice.
02
AI agents
Answer, qualify, summarize, and hand off from approved context.
03
Campaigns
Reach audiences across chat and voice with follow-up workflows.
04
Lamflow
Connect triggers, conditions, actions, and customer data without code.
Next chapter
Help us build the workspace customer teams actually want to use.
Talk to us if you are evaluating Lamdesk, building customer operations, or looking for a team focused on practical AI and product quality.