AI revenue intelligence for wholesale and manufacturing field sales
Acto builds an AI assistant that surfaces revenue opportunities and churn risks for field sales in wholesale and manufacturing. The stack reveals a data-intensive, real-time-oriented architecture: ClickHouse for analytics, Kubernetes orchestration, and multi-LLM integration (OpenAI, Claude, Mistral) via LangChain, signaling active experimentation with agentic workflows. Projects around tool-using agents and voice-enabled pipelines point toward a shift from static insights to autonomous sales actions.
Acto is an AI-powered revenue intelligence platform built for field sales teams in wholesale and manufacturing. The product runs across mobile, ERP, CRM, and email workflows, helping salespeople prioritize high-value customers, identify churn risks, and uncover cross-sell opportunities from large customer and product catalogs. Founded in 2021 and based in Paderborn, Germany, the company operates with an engineering-focused team (5 engineers, mostly senior-level) and is actively hiring to scale product and sales. Active projects span agentic workflow design, voice-enabled agent pipelines, and AWS infrastructure optimization, reflecting both feature roadmap maturity and operational scaling challenges.
Acto uses Kubernetes, ClickHouse, AWS (EKS, RDS, Lambda, Redshift, BigQuery), Python, Kotlin, Java, FastAPI, Spring Boot, Django, React, TypeScript, GraphQL, and integrates OpenAI, Claude, Mistral, LangChain, Hugging Face, and PyTorch for AI-powered revenue intelligence.
Acto targets wholesale and manufacturing sectors. The platform integrates with ERP systems and CRM workflows to serve field sales teams managing large customer and product catalogs in those verticals.
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