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FollowUpThen: FollowUpThen is an email-based personal assistant that sends you…. It is listed under Content & Writing on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match FollowUpThen. This is an automatic list. We have not written a researched verdict for FollowUpThen yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
The intelligent inbox that works for you
Scape is the intelligent email inbox, built for the one billion professionals who spend most of their workday in email. Designed to work proactively, Scape surfaces only the emails that need attention and prepares drafted responses, ready to review and send.
We make robots that move boxes in warehouses
We’re building the next generation of warehouse robotics. In the US today, retailers spend approximately $10B per year paying human laborers to pick up and move cardboard boxes in warehouses. Existing solutions for automating this are expensive and difficult to install, which is why manual operation is still so prevale...
AI employees that run home appliance repair companies
Bernard builds AI employees for home and commercial appliance servicers. They work across phone, text, email, warranty feeds, and existing systems to manage customer communication, scheduling, and dispatch, carrying each job through diagnosis, parts preparation, technician handoff, and follow-up. At the center is Pre-I...
The fully autonomous intelligence layer in the sky.
We turn natural Language into Multi-Drone Mission execution. Degla is built around a simple idea: once you’ve expressed your intent, the system owns the problem.You don’t babysit drones. You don’t micromanage failures. You don’t rewrite plans. You state the goal, Degla figures out how.
AI scientists to discover materials for the semiconductor industry.
We use AI to discover new materials for the semiconductor industry - specifically datacenters and fabs. Finding novel materials today takes 10+ years of lab work. We aim to compress that timeline to months, using a swarm of AI agents. Akash completed his PhD at Stanford on material discovery for semiconductors. The mat...