Sales & Revenue Ops

Your prospect told your SDR their budget six emails ago.

Sales is built on relationships and context. With the right memory layer, your sales AI gets a memory that tracks every interaction, every preference, and every deal signal across the entire pipeline. No more "remind me what we discussed."

Every rep has been here

A prospect schedules a demo. Your AI assistant prepares the call notes. But it doesn't know that this prospect mentioned budget constraints in an email three weeks ago, or that they're evaluating two competitors, or that their decision timeline moved up.

The rep walks into the call blind. The prospect has to repeat everything. The conversation feels transactional instead of consultative. The deal stalls because the rep missed signals that were right there in the history.

Budget mentioned casually in email #3Lost
Competitor evaluation shared in call #1Forgotten
Decision timeline moved up in SlackMissed
Technical requirements from demo Q&ABuried
Champion identified in meeting notesNot tracked

What changes when your sales AI remembers

Every interaction becomes deal intelligence. Every signal gets captured. Every rep walks into every conversation prepared.

Deal intelligence, automatic

Budget signals from any touchpoint
Competitor mentions across conversations
Decision-maker relationships mapped
Timeline changes tracked automatically
Technical requirements accumulated

Full prospect history at every touchpoint

Before every call, email, or meeting, your AI surfaces everything: past conversations, preferences, objections handled, and promises made. All retrieved in under 50ms.

Knowledge graph maps the buying committee

"Sarah reports to VP of Engineering Jordan, who reports to CTO Alex." The graph maps the org chart, decision authority, and influence relationships automatically.

Learns which approaches close deals

RL evaluates which talking points, case studies, and objection responses led to pipeline progression. Winning approaches get reinforced across the team.

Temporal deal awareness

3-tier memory keeps current deal stage in short-term, ongoing negotiation context in medium-term, and the full relationship history in long-term. Nothing falls through the cracks.

Before the next call

What your AI surfaces when a rep opens a deal.

Deal Brief: Acme Corp
STAGE: NEGOTIATION
Champion
Sarah Chen, Dir. of Engineering
Decision Maker
Jordan Park, VP Engineering
Key Signals

Budget: $50K-75K range (mentioned in email, March 1)

Evaluating: Competitor X and Competitor Y (demo call, Feb 20)

Timeline: Decision by end of Q1 (moved up from Q2, Slack, Feb 28)

Open Items

Security questionnaire (promised, not sent)

ROI calculator (Sarah requested in last call)

Recommended Approach
Lead with ROI data (Sarah responds well to numbers). Address security early (Jordan's primary concern from call #2). Avoid feature comparison (backfired in previous deal with similar profile).
Every

Signal captured automatically

< 50ms

Deal context retrieval

Auto

Org chart mapping

Zero

Lost deal context between reps

Build sales AI that remembers every deal

Free tier available. No commitment needed. Start building deal-intelligent agents today.