Government sales shouldn’t bea guessing game.

Good teams, stuck reacting.

A team would find an RFP, spend hours putting together a proposal, and hope for a win. Often, they were chasing an opportunity that was never a good fit. Meanwhile, the city next door needed exactly what they offered. Nobody on the team knew it.

These were good companies with capable people. But their process kept them reacting to opportunities instead of getting ahead of them.

Most had several bid sites, data subscriptions, and sales tools. There was plenty of overlap, and too much of what they were paying for went unused. More information wasn’t helping them decide who to call, why to reach out, or when to make their move.

Most of the work happens before the RFP.

Working across industries taught me how much happens before an RFP ever appears. Agencies identify needs, explore options, and build relationships months or even years before a formal solicitation. Some purchases don’t require a public bid at all. By the time other opportunities are posted, an agency may already have a clear preference.

That’s where I’ve spent my career: finding the data that helps a sales team get involved earlier, understand the buyer, and pursue business they have a real chance of winning.

AI made the experience go further.

AI has expanded what I can do with that experience. Research that once took hours can happen faster. Signals scattered across different sources can come together. Teams can spend less time digging and more time having the right conversations.

But the value still comes from knowing what to look for and what to do with it. That’s what Public Signal brings together: government sales experience, AI, and practical help putting both to work.