Jason AI

Jason AI positions itself as an agent rather than a template library. You start by handing it your playbook — offers, target segments, knowledge base, tone, and even which underlying model to use (Claude, Gemini, Mistral or OpenAI). From there it generates an ideal customer profile from your value proposition, searches a contact universe of over one billion global contacts (including 220M+ US contacts and 15M+ US companies), and layers on real-time intent signals such as hiring activity, technology adoption and company growth to decide who to approach first.

Engagement happens across channels rather than in a single inbox. Jason can run email sequences with spam-safe sending and A/B testing, automate LinkedIn connection requests and messages, and insert call steps at the point in a sequence where they tend to convert best, complete with a personalized script. Sequences can mix channels with conditional branching based on prospect behavior. Every message is generated from your playbooks and per-prospect research across LinkedIn and company websites, with source links shown so reps can verify the reasoning.

Reply handling and scheduling close the loop. Jason answers prospect replies in your voice under either an automatic send mode or an approval mode, re-engages non-responders on your schedule, and books meetings against real-time availability synced with Google Calendar to avoid double bookings. Reply.io markets it as a cost alternative to a classic SDR, with pricing starting around $500 per month and a claimed customer base of 300+ companies, alongside a 4.6/5 rating across roughly 1,448 G2 reviews for the platform.