Launching today
Katalyst
The AI agent that works your Salesforce Pipeline
508 followers
The AI agent that works your Salesforce Pipeline
508 followers
Katalyst is the AI sales agent for teams on Salesforce. Hang up a call and it's already done: notes summarized, records created, fields updated, follow-up drafted, next step set. It runs 24/7, reading every call, email, and calendar, surfacing the right signals, prepping you for each meeting, and prompting you to act: follow up here, this one’s slipping. What's new: AI Resolution on every account, meeting recorder, hygiene scores, deal patterns. Built for enterprise sales teams.
Curious how it handles calls when reps have thick accents or talk over each other, does the summarization still hold up or does it need cleanup? Also wondering how it decides which fields to auto-update without butting into the rep's manual edits.
Been looking at Attio and Clarify. The pitch of a clean AI-native CRM is tempting honestly. But migrating 4 years of Salesforce data and workflows feels insane. How do you think about that trade-off?
How does Katalyst distinguish between meaningful sales signals and routine activity to ensure its recommendations improve deal outcomes instead of creating unnecessary noise for sales teams?
DiffSense
This is how it should be! What about the tension between platforms being notoriously unreliable when it comes to supporting makers that build on top of them. They want to control and own the value the selfs. From ethe end user perspective thats a legitimate worry. And I guess why its easier to adobt something that owns their pipelines outright. Any thoughts on this?
Finally tried a demo and the auto-drafting of follow-ups after calls is genuinely useful, not just templated fluff. Curious how it handles messy transcripts with multiple speakers on the same deal.
Really like that this focuses on hygiene, most
sales tools tell you what happened, but staying on
top of records and follow-ups after every call is
the part that actually gets skipped when reps are
busy. Curious how the AI Resolution feature decides
which signals are worth surfacing versus just noise,
is that tuned per team, or does it learn from how
each rep actually works?
Congrats on the launch, this is exactly the kind of
unglamorous problem that's worth solving well.