Launched this week
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.
How would you capture in-person meeting context?
Katalyst
@urvija_diwan Honestly, today it's virtual meetings, Zoom, Meet, Teams, Webex. In-person is what we're building toward next, along with phone and field calls, so nothing rides on a rep's memory.
Katalyst
@urvija_diwan To add, in-person is one of the most requested gaps we're hearing, and for good reason, field and phone conversations are where a lot of real context lives today and none of it should ride on a rep's memory. Virtual is where we're sharpest now, but closing that gap is squarely next.
The auto-drafting of follow-ups right after a call ends is a really thoughtful touch, feels like it actually gets how messy a rep's day is. Nice execution on tying it so tightly into Salesforce too.
Katalyst
@lhanmarangfclk Tying it tightly into Salesforce was the hard, unglamorous part, so it's nice when that's what gets noticed. A rep's day is messy, and the tool should absorb that, not add to it. Thanks İlhan.
Katalyst
@lhanmarangfclk Appreciate you noticing the Salesforce piece, that tight integration is the unglamorous work that makes the follow ups actually land where they belong instead of in another tab. The whole aim is absorbing the mess of a rep's day, not adding to it. Thanks İlhan 🙏
How long does implementation typically take for a Salesforce team?
Katalyst
@vatsal_agarwal183 Basically no implementation time, that was the whole point. It's fully agentic. An admin connects Salesforce and the entire pipeline syncs, then reps get invited and go through their own agentic onboarding, connecting their integrations in about 10 minutes each. No months-long rollout, no config project
Katalyst
@vatsal_agarwal183 To add, the reason there's no real implementation phase is it reads your existing Salesforce as is, nothing to rebuild or configure. Admin connects, the pipeline syncs, each rep does a ~10 min agentic onboarding and you're live. None of the months long rollout enterprise software usually means.
Is there a free trial? I'd love to recommend this to a friend in sales but they'd want to test it first.
Katalyst
@drishita_diwan There's a month long free trial for up to 5 users! Your friend will be relieved to see their sales pipeline automated.
Katalyst
@drishita_diwan Adding to Kritika, it's an easy one to pass along, your friend just connects their Salesforce and the trial's live on their real pipeline. Thanks for spreading the word.
Congrats on the launch Div!
Does Katalyst support HubSpot or is it only Salesforce- only for now?
Katalyst
@yashasvi_kothari Thanks! love that you asked! Right now it's Salesforce-only, that's where we went deep first. HubSpot's a natural next step and it's on our radar, I'll keep you posted as that develops.
This looks really cool. What problem are you actually solving here? Like, why does this need to exist?
Katalyst
@rishav_sidhu Thanks! The core problem: reps spend a huge chunk of their week on Salesforce admin instead of selling, logging notes, updating fields, drafting follow ups, planning next steps. So the CRM ends up stale and managers can't trust the pipeline. Katalyst exists to do all of that work for them automatically, from the calls and emails already happening, so reps sell and Salesforce stays accurate on its own.
Katalyst
@rishav_sidhu Adding, the reason it's possible now is that AI can finally sit in a call and actually understand what happened, who's involved, what got committed, well enough to update a CRM correctly. That wasn't true even a couple years ago. The pain's old, the ability to fix it this way is new.
isn't it risky to let an AI agent make changes to something as important as a company's sales data?
Katalyst
@ravindra_sisodia1 The agent will tell you why it's making changes and also provide suggestions. These are some of the things that will actually help make sure the agent does not do anything it's not supposed to.
Katalyst
@ravindra_sisodia1 Nothing writes silently, the rep approves changes early on, and the agent only earns autonomy field by field where it's proven accurate. High-stakes fields can stay approval-only indefinitely. It earns trust rather than assuming it.