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What if You Could Get Data Without All the Info?

Almost guaranteed way to build a profitable SaaS

Welcome to SaaS Wire — your backstage pass to the hottest in software and services!

What we’ll cover today:

🔍 What if you could gather research data even when the answers are incomplete?
🚀 Building a SaaS taught me invaluable lessons
💸 Almost guaranteed way to build a profitable SaaS
🔗 The Event Roundup

What if you could gather research data even when the answers are incomplete?

Livepanel’s new SaaS tool, N-Infinite, makes that possible.

Here’s why it stands out:

  • No tech expertise is required – it’s as simple as drag-and-drop.

  • Generate synthetic responses – fill in the gaps with real or incomplete data.

  • Proven accuracy – leading brands have already tested its capabilities.

  • Data science is driven – but user-friendly for anyone to operate.

Launched earlier this year, N-Infinite has gained recognition in the market.

With offices spanning from Miami to Buenos Aires, Livepanel now offers direct access to this tool.

As CEO Agustin Elissondo highlights, it’s ready to help streamline your research process.

  1. Building a SaaS taught me invaluable lessons.

Amr, a SaaS enthusiast who has built Qura.ai and hugeicons.com, shared nine invaluable lessons during his journey to building a SaaS business.

  1. An almost guaranteed way to build a profitable SaaS

Timothy Bramlett, who quit a big tech job to bootstrap a SaaS empire through community-driven development, shares his knowledge on how you can almost build a profitable SaaS.

Phacet pioneers personalized artificial intelligence solutions for small and medium-sized enterprises.

Their Seed round has attracted funding from 148 angels, including notable founders from Hexa, Intercom, Dataiku, Mirakl, Spendesk, JPB Système, and Lempire.

Sinead Greenway, the BBC’s broadcaster and end-user technology director, said the organization was “SaaS- first, cloud-second, on-prem only when necessary.”

We want to get out of running and maintaining heavy infrastructure,” Greenway said.

SaaS governance is improving, but AI adoption presents new challenges, requiring cross-functional collaboration, transparent policies, data-driven governance, and continuous communication to ensure compliance and mitigate shadow IT risks.

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