When sales teams drown in data, Gro turns it into action. Gro is a unified AI sales engine that brings prospecting, targeting, outreach, and intent tracking into one clean workflow. Powered by a live 1B+ database, AI-driven propensity scoring, multi-channel automation, and intent signals, Gro helps teams focus only on accounts that actually matter. No exports. No fragmented tools. Just precise outbound, end to end.
How many languages does AI personalization support at the moment? Do you plan to add more?
Gro
@kristina__grits we support 8 languages so far - let me know what lan that you have in mind?
@leo_aj I actually had Italian in mind, and you already have it🙂 Great!
Congrats on the launch! What sources do you use to create lists of prospects?
Gro
@alina_petrova3 Thank you! To answer your question: Gro pulls from a combination of proprietary datasets, trusted data partners, and real-time enrichment signals. We’ve also built our own indexing and filtering layer on top, so users can search in natural language and refine leads conversationally instead of relying on static lists.
@alexis_lee3 I'm really interested in getting a straight answer on this. What sources do you use to create lists of prospects?
Gro
@alexis_lee3 @fabricioferrero Hi Fabricio, as highlighted we leverage multiple data sources instead a specific one. The crux is on how your search algorithm leverages multiple data sources and create best search user experience. and we are optimise our search algo on a weekly basis.
Is there a discount for annual billing? This looks like a long-term staple for our stack.
Gro
@y_n9 Yes there is! We've got a bulk discount for annual billing, 25% off annual. Happy for you to try us out!
AI prospecting is a game changer for small teams. How do you balance automation with keeping the outreach feeling personal?
Gro
@pete3xy Firstly, we focus on precision at the search level. Instead of blasting a broad LinkedIn search list, we qualify leads using propensity scoring, so outreach starts with a highly relevant audience. Secondly, we analyse multiple data points (profile, company, website, posts, signals) to generate personalised messaging with real context. Automation handles the scale, but context keeps it personal.
With a 1B+ live database, how do you ensure data freshness and accuracy across regions?
Gro
@zerotox We don’t treat it as one static 1B+ database sitting in the background. The data is continuously refreshed through multiple sources, cross-verified, and re-enriched over time. If something changes — role, company, activity, contact validity — the system updates accordingly.
Very interesting. It looks quite close to what we’re currently doing manually using Apollo, Reply, and other services.
Important practical questions: where do the emails come from? Is it the same principle as Apollo, template-based generation? After selection, is email validity checked in any way?
Is the email created as a draft in the corporate inbox I specify? Can I insert my own template and ask it to personalize it? Right now, I often receive AI-generated outreach emails that just list facts from my website or LinkedIn. That’s a very obvious mistake! I never reply to those — it’s clear a human didn’t write them, even though they get into the inbox. I need a tool where there are no visible signs of AI.
Vozo AI — Video localization
How does the credit pool work for teams?
Gro
@jojo_li Thanks for the question! It's shared within the organisation