InsightHive was founded to solve a problem I’ve encountered in every SaaS company I’ve founded. From Host Analytics (now Planful) to Gainsight, and TopOPPS (now Xactly Forecasting), we faced the same challenge over and over again... 

Customers wanted answers, dashboards, and reports, but they didn’t want to leave our application to get them.

Yet that’s exactly what most SaaS products still force users to do.

• Export data to Excel
• Rely on a BI tool that lives outside the product
• Submit requests to an analyst or data team

The result? Broken workflows, delayed decisions, and users spending more time outside the product than inside it.

To solve this, my team built what we called Data Studio. A native dashboard and report builder embedded directly into the product. It gave users an intuitive UI to create their own reports and dashboards without technical expertise. At the time, it was innovative. So much so that it’s still in use today.

But the industry has given us even more demands. AI changed what users expect, and building modern analytics now requires far more –natural language, intelligence, more sophisticated data integration, and reliability at scale.

InsightHive is the next evolution of that original idea.

With today’s AI capabilities and our deep experience in data integration and embedded analytics, we built InsightHive to help other B2B enterprise SaaS companies solve the same problem we spent years solving internally.

InsightHive embeds:

• AI-powered dashboards and reports
• Natural-language querying for non-technical users
• Intelligent insights that go beyond static visuals
• Data integration, connectors, and observability to keep everything accurate and fresh

All delivered natively inside the SaaS product, so users stay in-app, product teams ship faster, and engineering doesn’t have to reinvent analytics from scratch.

InsightHive exists because we’ve lived this problem, solved it the hard way, and now believe every SaaS company deserves a better path.