Outreach Agent
Adrata does not just write emails. It evaluates them against your deal context, stakeholder intelligence, and win patterns — then tracks every interaction to improve the next one.
The model learns what works for your team, your market, and your buyers. Not generic best practices. Your best practices.
Select a deal scenario below. The agent will draft the email, evaluate it against 8 quality dimensions, and show you the context model that makes it possible.
Quality architecture
Anyone can generate an email with AI. The difference is whether it is any good. Adrata evaluates every email across eight dimensions calibrated by reinforcement learning from 2.4M real send outcomes.
Is the message written for the person receiving it? CFOs need numbers. CTOs need architecture. Champions need internal ammo.
References to their company, their deal, their specific situation. Not "Hi {first_name}" personalization. Real intelligence.
Scored against historical response data for this stakeholder type, deal stage, and engagement pattern. Predicted before send.
Does this email advance the deal? The model scores expected impact on overall win probability based on what moved similar deals forward.
When a deal closes won or lost, every email in that deal's history becomes training data. Emails that preceded wins get positive reinforcement. Emails that preceded losses get negative. Over thousands of deals, the eval model learns what “good” actually means for your specific market, buyers, and competitive landscape.
Self-learning system
The context model tracks every signal across every deal — stakeholder lookups, tone selections, eval scores, and ultimately deal outcomes. This is not logging. It is the reinforcement loop that makes the system compound.
Every email draft triggers stakeholder lookup, deal context retrieval, win pattern matching, and competitive analysis. The model sees the full picture before writing a word.
Eight-dimension scoring against historical outcomes. Not rules. Not templates. A model that learned what "good" means from millions of real send outcomes across your market.
When the deal closes, the outcome propagates back through every email, every score, every decision the model made. The reinforcement signal updates the model. It gets better every quarter.
Every email your team sends without intelligence is a missed opportunity. Every email scored by the eval model is a step toward winning.