ConversOS.ai

B2B conversational AI platform. Embed intelligent conversations into any application.

Overall Progress75% Complete

The Problem

Building conversational interfaces requires extensive AI expertise, infrastructure management, and ongoing optimization. Most companies can't justify the engineering overhead for what should be a simple integration.

While building Teneo, I needed intelligent conversation handling but didn't want to rebuild the same conversational infrastructure for every project.

The Solution

Embeddable conversational AI platform that handles the complexity of intelligent conversations, memory management, and multi-modal interactions. Drop-in integration for any application with advanced customization capabilities.

Memory Systems

Persistent conversation memory with psychological profiling and context awareness.

Multi-Agent Intelligence

Orchestrated AI agents with specialized capabilities and real-time collaboration.

Technical Architecture

Embedding System

Simple JavaScript embed with advanced customization and theming

RAG Integration

UniversalRAG backend for knowledge retrieval and context management

Analytics

LLMScope integration for conversation analytics and performance monitoring

Project Stats

StartedAug 2024
StatusPhase 1 Complete
ArchitectureMulti-tenant B2B
DeploymentDocker + Vercel

Connected Projects

Teneo.io

Conversational book creation interface

UniversalRAG.io

Knowledge retrieval backend

LLMScope.com

Conversation analytics and monitoring

ProfileEngine.com

User psychological profiling