AI Operating System for building agentic AI solutions and automating conversations
Stage
Not given
Established
Founded
Not given
Not given
Based in
IN
IT
Pricing model
Freemium
Freemium
Pricing
Not given
Free trial: 14 days with all premium features. Pro: €149/month (€124/month billed yearly), includes 3 users, 20 AI Agents, 5M AI Tokens per month, 3,000 conversations per month. Business: €499/month (€416/month billed yearly), includes 5 users, 50 AI Agents, 10M AI Tokens per month, 5,000 conversati
Key features
Daily panchang customized by location and timezone
Online, temple and home puja booking with verified pandits
Festival and vrat calendar with verified dates
WhatsApp-based yatra desk for personalized assistance
DharmikStudio for spiritual content including kathas and bhajans
Family yatra with pace adjusted for seniors and elderly
Stays including ashrams, dharamshalas, homestays and hotels
Transparent booking with user consent required at every payment step
Visual flow builder for AI agent design without coding
Native knowledge base with RAG for accurate AI responses
Multi-channel deployment across web, WhatsApp, voice, SMS, email and Facebook Messenger
Human-in-the-loop with seamless escalation to human agents
Prompt chaining for complex multi-step automation workflows
MCP (Model Context Protocol) integration with external tools and APIs
Multiple specialized AI agents with automatic routing
Self-learning capabilities that improve from human interactions
On-premises deployment with local LLMs and vector stores
AI copilot for human agents with real-time assistance
What makes it different
Transparent step-by-step process showing who does what and when
Dedicated yatra desk that makes phone calls and holds bookings on behalf of users
User consent required before any payment or action
Verified pandits, guides and service providers through DharmikGuide
Sources cited for all information including temple times and dates
Open-source platform with full control over source code and deployments
No-code visual builder requiring zero programming knowledge
Agentic architecture supporting task execution beyond text generation via MCP
Self-learning agents that automatically improve from real conversations
Deployment flexibility with cloud, on-premises, and local LLM options