Portfolio
Neomanex builds AI that turns conversations into structured business outcomes — and develops the operational methodology that makes it repeatable.
AI that turns conversations into structured business outcomes.
LiveAI That Qualifies Your Leads Through Conversation
10–15%
Conversation-to-lead conversion vs. 2–3% for contact forms
The Universal Gateway to AI Conversations
The operational methodology that makes conversational AI repeatable.
LiveThe Conversational Operations Platform
Institutional Memory for AI Operations
Kubernetes-native autonomous AI agent execution
AI-native learning experiences for the next generation.
Shared infrastructure that every product in the portfolio builds on.
The Knowledge Layer for AI
Web-to-Markdown in Milliseconds
<500ms p95
Sub-500ms p95 latency, 99.9% uptime target
Privacy-first analytics for AI-powered applications
Applied Research
The Neomanex Lab benchmarks the exact capabilities our products rely on — model selection for Gnosari, workflow patterns for ConvOps, retrieval quality for NeoReader. Every publication feeds directly back into the portfolio.
The reusable building blocks — knowledge, queues, analytics, starters — that every product in the portfolio shares.
Reusable knowledge and memory library — upload knowledge, expose it via MCP, let agents read AND write.
Redis-backed async job processing library used by every AI worker in the portfolio.
Analytics aggregation layer — collects, normalises, and exposes product usage signals.
Shared Python utilities — logging, config, error envelopes — used by every Neomanex API.
