AI-powered document processing and workflow automation platform
Affinda builds intelligent document processing and business process automation using Python, Django, and PostgreSQL, with ChatGPT and RAG now central to the platform. The tech stack and active projects reveal a company mid-pivot toward AI agents—internal agent framework and production AI agents are top priorities—while grappling with a classic adoption problem: low free-trial conversion and slow time-to-first value. Sales leadership is expanding (3 open roles, Head of Sales hired recently), but hiring velocity is decelerating, suggesting either market caution or product-readiness constraints.
Notable leadership hires: Head of Sales
Affinda is an AI-powered document processing and workflow automation platform founded in 2012 and headquartered in Melbourne, Australia. The company serves mid-market to enterprise customers across more than 80 countries in 56 languages, with engineering and sales teams across APAC, North America, and Europe. The core product automates document-heavy processes (invoices, resumes, contracts) using proprietary ML models and is now being rebuilt around AI agents. The platform integrates with enterprise systems via API connectors and is marketed through direct sales, supported by HubSpot, Gong, and Apollo.
Python, Django, PostgreSQL, Elasticsearch, AWS, React, ChatGPT, and RAG (retrieval-augmented generation). The platform is being rebuilt around an internal agent framework for production AI agents.
API connectors for AI automation, internal agent framework, production AI agents, and improvements to onboarding workflows. Recent focus includes redesigning buyer/seller journeys with AI and optimizing sales operations for global expansion.
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