Deals Machine: The Autonomous Sales Agent

Deals Machine is an autonomous AI sales agent that runs your entire pipeline, from first-touch outreach to closing follow-ups, while the human does the talking. Built for solo founders and small revenue teams who lose deals to follow-up debt, not to product quality. The problem. Sales teams spend the majority of their time on operational toil: logging calls, writing follow-ups, updating CRM fields, prioritizing leads. The actual selling, the 1:1 human conversation, gets squeezed into the gaps. Deals Machine flips that ratio. The solution. Deals Machine ingests sales call audio via Speechmatics, transcribes and analyzes it, synthesizes per-lead memory that the agent re-reads before every action, and then autonomously plans next steps: schedules follow-ups, drafts personalized emails, scores the lead, queues call-backs, and updates the activity log. The human just shows up and talks. Multimodal intelligence. Beyond audio, the agent reads inbound documents (RFPs, contracts, technical briefs) and screenshots to inform its reasoning. Agentic workflows. Each lead has its own agent loop with memory, tool access (CRM, calendar, email, knowledge base), and decision authority over what gets sent. Intelligent reasoning. When a lead doesn't reply or the deal stalls, the agent re-plans without human intervention. Enterprise utility. Built on Next.js + Supabase, deployed on Vercel (UI) and Vultr Ubuntu 24.04 (agent worker), with Veea Lobster Trap prompt-injection middleware hardening the reply-processing loop against malicious inbound content. Submitted solo by Kyle Dow (View 1 Studio / MAIKER) from Battipaglia, Italy.