insyghtful.ai

Real-time buyer intelligence for sales calls

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May 30, 2026 Three years ago I was leading sales for a Series A company.

We had the full modern revenue stack: Salesforce, Gong, forecasting tools, dashboards. Every week we'd review lost deals and the answers were always there.

Wrong questions.
Missed objections.
No real champion.
Economic buyer never engaged.

The frustrating part wasn't that we lacked data.

The frustrating part was that we only discovered these things after the deal was already gone.

At some point I started asking a simple question:

If we can identify deal risks so clearly after the call, why can't we identify them during the call?

Nobody had a good answer.

The more I looked at revenue software, the more I noticed the same pattern. Most tools help teams document the past or predict the future. Very few help sales teams understand what's happening while the conversation is still unfolding.

That observation eventually became Insyghtful.ai.

We're building software that works inside live sales conversations, helping teams spot deal risk while there's still time to do something about it.

Building something new is uncomfortable because there are very few examples to follow. That's one reason I'm sharing the journey publicly.

For founders and sales leaders here:

Have you ever looked at a lost deal and thought, "We actually knew this was going wrong the whole time"?

I'd love to hear your experience.

2 Comments

  1. 1

    You already found your one-liner, so put it on the page: every revenue tool works in the past tense or the future tense, and Insyghtful works in the present tense. Gong documents what happened, forecasting predicts what will, and nobody is in the room while it is actually happening. "The missing tense is the present" is your whole positioning, and it is sharper than anything a competitor can claim, because they are structurally built for after.

    To your question, yes, everyone has had the "we knew the whole time" moment, and here is why it happens: it is not a data problem, it is an attention problem. On a live call the rep is cognitively maxed out, listening, talking, thinking three moves ahead, so the signal is right there and there is simply no spare attention to catch it. Which reframes what you are actually building. You are not adding more data to a stack that already has too much, you are adding attention the rep does not have, a second set of ears that is not busy talking. That is a more human product than "analytics," and it is the one people will pay for.

    Which is also the hard part, and worth being honest about: a rep on a live call cannot read a dashboard, so your whole product lives or dies on delivery, not detection. Surfacing a risk without pulling their attention off the human in front of them is the 80% of the work. One question: is the moment your tool speaks up designed around the rep's attention, or around the model's confidence? Because the present tense is only a gift if it does not become one more thing to watch.

  2. 1

    This is a strong wedge because the pain is not “more sales analytics.” Sales teams already have plenty of dashboards after the fact. The sharper problem is that deal risk shows up inside the conversation before it becomes a CRM note, forecast miss, or lost-deal review.

    That makes the positioning important. If Insyghtful.ai becomes a live conversation intelligence layer for sales teams, the current name is clear, but the spelling and .ai frame may start to feel a little narrow once you are selling into serious revenue teams. The product sounds broader than “AI insight.” It sounds closer to real-time deal risk intelligence.

    I would pressure-test the brand before more demos, sales content, and customer memory build around the current name.

    Beryxa .com would fit this direction well because it feels more like an enterprise sales intelligence platform: live risk signals, buyer understanding, objection detection, champion gaps, and revenue decision support under one cleaner brand.

May 27, 2026 Most founders think they have a product problem...

One of the hardest things for me as a founder was realizing that building a startup is mostly emotional pressure hidden behind daily tasks.

At Insyghtful.ai, there were moments when it felt like we were doing everything right, improving the product, speaking with investors, running outreach, launching webinars but growth still felt slower than expected. I used to think good products naturally get attention. In reality, nobody notices you until you repeatedly put yourself in uncomfortable situations: outreach, demos, follow-ups, conversations, rejection.

What changed my mindset was understanding that early-stage startups are not won by the smartest idea alone. They’re won by consistency and distribution. My advice to founders: don’t hide behind the product for too long. Talk to users earlier, show the imperfect version, build visibility while building the company, and stay close to real customer pain. That changed everything for us.

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Insyghtful.ai helps sales teams identify deal risks and buying signals during live sales calls before deals stall or forecasts fail.