We ship
what we
recommend.

Sales reps were drowning in raw website traffic and B2B data. No one had time to figure out which of last week's visitors were actually worth reaching out to, and enterprise deals were slipping.

An agent that pulls website visitor signals, enriches them with B2B data, and cross-references Stripe revenue history. Claude ranks the top 20 prospects each week and posts them as a structured brief in Slack — with context, a recommended angle, and a one-click path to the CRM.

The sales team starts every Monday with a ranked shortlist instead of a blank spreadsheet. More enterprise conversations, faster cycles, zero manual prospecting.

Off-the-shelf SIS and LMS platforms were built for a 30-kids-in-a-room, one-pace-fits-all model. Alpha School runs a fundamentally different motion — mastery-based, individualized learning where students compress core academics into ~2 hours a day. There was no system that could track each kid's mastery in real time, gamify effort, and surface what to work on next in a way kids actually wanted to open.

A custom SIS + learning platform we call TimeBack. Students hit lessons, quizzes, and practice activities; the mastery engine grades each interaction in real time and updates a per-skill mastery score. A rewards layer turns mastery and effort into points, streaks, and unlockables. An AI feedback engine writes a plain-English "work on this next" recommendation, tied to the exact skill the student hasn't yet mastered. Parents and teachers see the same data, just rolled up.

Kids open the app on their own. They know where they stand, what they've earned, and what's next — without a teacher chasing them. Teachers spend their day on intervention and one-on-ones instead of grading. Parents get a clear, jargon-free read on their child's actual progress. The platform now powers Alpha School's classrooms.