Beolta detects buyer-intent signals, matches companies with specialist IT teams, and delivers evidence-backed shortlists before a formal RFP. The ranking rewards fit and verified signals—not paid placement.

Hi Product Hunt! We built Beolta because skilled IT teams should not have to depend on generic databases or spray-and-pray outreach to find the right work. Beolta watches public signals—from job posts and funding events to filings and registries—then matches companies with teams whose domain expertise, availability, and evidence fit the brief. Buyers receive a curated shortlist; teams get transparent insight into why a match happened. Paid plans unlock data depth, never better ranking. We are at the beginning of the journey and would love feedback from agency founders, dev shops, and anyone using signal data for better outbound. We are also speaking with pre-seed investors who care about B2B sales intelligence, data infrastructure, and fair marketplaces. Funding will broaden high-quality paid sources and make matching faster, deeper, and more precise.

Love the no-paid-placement angle, that builds real trust right away. One thing I'd love to see is a "last verified" timestamp on each signal in the shortlist, so we can quickly gauge how fresh the intent data is when comparing candidates.

Love the idea of skipping the RFP noise and getting straight to vetted teams. One thing that would really help: let companies save and compare past shortlists side by side, so we can see which criteria actually predicted a successful engagement over time. That kind of track record would build a lot of trust.

Love the approach of focusing on intent signals instead of who pays the most. One thing that would help me trust it more is showing why a company moved up or down in the ranking with a short note on which specific signal triggered the change.

Beolta

AI buyer-intent matching for IT service teams

AI buyer-intent matching for IT service teams