Overview
About Aonxi
Aonxi is Cursor for Revenue & Capital: Automating revenue & capital infrastructure for growing companies.
Instead of hiring SDR teams or stitching together disconnected tools, companies provision pipeline the way they provision cloud compute - on demand, modular, measurable, and outcome-based.
Aonxi deploys controlled revenue workflows, applies real-time market signals, executes multi-channel engagement, and routes edge cases through human oversight. Every workflow ships as a pilot, is revenue-attributed, and only scales when it proves performance.
Aonxi runs on a durable workflow layer (Temporal) backed by high-performance Rust/Go services, with Kafka/Redpanda streaming millions of live B2B signals into a real-time analytics engine (ClickHouse + Snowflake/BigQuery) for precise revenue attribution. AI inference is served via vLLM with PyTorch for fine-tuning, combined with vector retrieval (Qdrant/Pinecone) for persona-aware context. A human-in-the-loop control plane built in Next.js/React enables live approvals and escalations, while full observability (OpenTelemetry, Prometheus) and Kubernetes-based deployment ensure scalable, auditable, production-grade revenue workflows.
Since launch, Aonxi hit $2M ARR run-rate velocity in the first 60 days (bootstrapped, organic traction). The platform is live, compounding daily, and generating millions in downstream revenue pipeline for users through end-to-end automation.
Aonxi MOAT:
a) 120+ revenue-trained persona models deployed as active workflows not static data.
b) 76 enterprise-grade live intent filters and controls.
c) Unique Human-in-the-Loop (HITL) nodes natively integrated into workflows.
d) 100M+ daily enriched B2B records fueling automated, intelligent pipelines.
This isn’t a database.
It’s a living revenue engine that identifies, prioritizes, and converts the exact decision-makers that matter - in real time.
[email protected]
Instead of hiring SDR teams or stitching together disconnected tools, companies provision pipeline the way they provision cloud compute - on demand, modular, measurable, and outcome-based.
Aonxi deploys controlled revenue workflows, applies real-time market signals, executes multi-channel engagement, and routes edge cases through human oversight. Every workflow ships as a pilot, is revenue-attributed, and only scales when it proves performance.
Aonxi runs on a durable workflow layer (Temporal) backed by high-performance Rust/Go services, with Kafka/Redpanda streaming millions of live B2B signals into a real-time analytics engine (ClickHouse + Snowflake/BigQuery) for precise revenue attribution. AI inference is served via vLLM with PyTorch for fine-tuning, combined with vector retrieval (Qdrant/Pinecone) for persona-aware context. A human-in-the-loop control plane built in Next.js/React enables live approvals and escalations, while full observability (OpenTelemetry, Prometheus) and Kubernetes-based deployment ensure scalable, auditable, production-grade revenue workflows.
Since launch, Aonxi hit $2M ARR run-rate velocity in the first 60 days (bootstrapped, organic traction). The platform is live, compounding daily, and generating millions in downstream revenue pipeline for users through end-to-end automation.
Aonxi MOAT:
a) 120+ revenue-trained persona models deployed as active workflows not static data.
b) 76 enterprise-grade live intent filters and controls.
c) Unique Human-in-the-Loop (HITL) nodes natively integrated into workflows.
d) 100M+ daily enriched B2B records fueling automated, intelligent pipelines.
This isn’t a database.
It’s a living revenue engine that identifies, prioritizes, and converts the exact decision-makers that matter - in real time.
[email protected]