Built for Teams Who Refuse to Compromise
Customer service tools shouldn't be fragmented across 5-6 different subscriptions. Indexu unifies Live Chat, Helpdesk, AI Knowledge Base, Workflows, Copilot, and Client Portals, all in one workspace.
Every support team deserves enterprise-grade tools.
We believe that modern customer support shouldn't require complex integrations, multiple expensive subscriptions, and scattered context.
Indexu was built from the ground up to unify everything into a single, cohesive workspace. By bringing together live chat, ticketing, AI assistance, and workflows, we eliminate the friction so your team can focus on what truly matters: providing exceptional experiences for your customers.
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Eliminate Context Switching: all customer interactions, history, and tools in one unified dashboard.
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Enterprise Power, Startup Simplicity: advanced SLAs and routing without the typical enterprise implementation headaches.
Our Core Values
The principles that guide how we build Indexu and support our customers.
Unified Over Fragmented
Why pay for Intercom, Zendesk, Chatbase, and Botpress separately? We believe in a single platform that replaces disconnected tools, so agents and customers work in one consistent experience.
AI-First, Human-Always
We use AI to support agents, not replace them. Our AI handles routine inquiries, summarizes long threads, and suggests responses, so your human team can focus on empathy and solving complex problems.
Privacy by Architecture
Security isn't an afterthought. With strict workspace isolation, zero model training on your private data, and optional on-premise deployments, we build privacy deeply into our foundation.
Modules in 1 Platform
AI Model Providers
Historical Uptime
Data Training
Built on Proven Infrastructure
The interface is simple; the infrastructure underneath is not. We run on a small set of mature technologies that scale with your support volume.
The backend is a Go API with a React 19 frontend. Real-time features like live chat and typing indicators run over first-party WebSockets, with no external realtime provider in the middle.
For AI, we use PostgreSQL with the pgvector extension for our Knowledge Base RAG implementation. This keeps your vectorized data in the same secure database as your operational data, completely under your control.
Ready to see Indexu in action?
Join the waitlist for an invitation during private testing, or write to us and we will walk you through the platform.