
nxflo is an agentic marketing infrastructure platform that unifies data pipelines, multi-agent orchestration, server-side tracking, and persistent brand memory into a single runtime. It connects to six ad platforms and is LLM-agnostic, replacing fragmented marketing tool stacks with autonomous production and deployment across channels.
Funding
Funding not disclosed
Founders
Product
Problem
Marketing teams and agencies rely on 8–15 disconnected tools that create data silos, repeated context loss, and 30+ hours per week of manual middleware work. Campaign production is slow, output becomes generic because brand knowledge isn't persisted, and fragmented analytics prevent cohesive, real-time decision-making.
Solution
nxflo provides agentic infrastructure that replaces the entire marketing stack with one runtime layer. Data pipelines ingest live performance data from six ad platforms, while multi-agent teams—including researcher, copywriter, and analyst workers—operate in parallel with shared memory and a message bus to produce, review, and deploy campaigns end-to-end. Server-side conversion tracking via Meta CAPI and GA4 Measurement Protocol bypasses ad blockers and iOS restrictions, and persistent brand memory stored in PostgreSQL compounds across sessions. The platform is LLM-agnostic, allowing routing to models from Anthropic, OpenAI, Google, Meta, Mistral, or Cohere without infrastructure changes, and real-time SSE dashboards stream campaign metrics on a 60-second refresh cycle.
Target Audience
Primary customers are in-house marketing teams and agencies running paid media across multiple platforms who need to eliminate tool sprawl, accelerate campaign production, and maintain persistent brand context.
Features
- Multi-agent orchestration with specialized workers (researcher, copywriter, analyst) dispatched in parallel with shared memory and a message bus
- Six native platform integrations—Meta, Google, TikTok, Pinterest, LinkedIn, Snapchat—with OAuth-connected read/write access
- Server-side conversion tracking using Meta CAPI and GA4 Measurement Protocol with programmatic Google Tag Manager management
- Persistent brand memory in PostgreSQL that loads brand voice, personas, and campaign history into every session
- LLM-agnostic architecture supporting Claude, GPT, Gemini, Llama, Mistral, and Cohere with provider-swappable routing
- Automated campaign production with platform-specific character limits, QC checks, and brand scoring plus A/B variants
- Multi-tenant workspace isolation with per-client independent memory, sessions, integrations, and data
- SSE-streaming real-time dashboards with live campaign metrics at 60-second refresh intervals