Trains your team before the visit.
Sales reps, medical, or market access leads run real conversations against agents built from the people they are about to meet, then get scored and coached.
The pharma-native
AI built to act.
The pharma-native AI for commercial and medical teams.
Pharma doesn't lack data. It lacks action.
Every pharma team already has a tool watching it. Not one of them closes the gap it was bought to close.
reprai is the pharma-native AI built to automate and optimize the operations of pharmaceutical companies.
Three layers. Run one or all.
Roles differ, departments differ, yet the company moves as one. Just like reprai.
01
Intelligence layer
Know who to reach, and why, before anyone moves. reMarket reads the market and segments every HCP. reFlect writes every output the teams need from the full record, keeps it compliant, and has it ready the next morning.
Core modules — reMarket · reFlect
02
Engagement layer
The right message, the right channel, every time. reRep runs HCP engagement across channels, and reTwin puts the expert everywhere.
Core modules — reRep · retwın
03
Enablement layer
Keep the teams sharper than the market. reTrain runs the real conversation before the real one, scores every move against the brief, and coaches the team that walks into the room.
Core modules — reTrain
Five agents that work alone, better together.
HCP can reach your rep anytime, anywhere.
Runs HCP engagement across email, web, and messaging, with only approved content in every interaction.
The meeting happened. Now it needs to matter.
Turns advisory boards, KOL meetings, and congress into reviewed medical insight the next morning.
The campaign, run by an agent.
Reads the market, segments the audience, plans the next-best action, and measures what landed.
The expert, in many places at once.
AI twins of executives and KOLs for internal, social, and HCP-facing video. Briefed once, on-message every time.
What reprai does, in practice.
Each agent makes the next one smarter.
What one agent learns, the next one uses. No insight sits still, no signal gets lost.
One shared memoryFive agents, one system
Let's pick the one to start with.
Five agents. One won't be right for everyone. The right starting point depends on a conversation.