Analytics Your Users Love. None of the Engineering Pain

Most SaaS product leaders that we talk to agree:

They want to give users the insights they’re begging for from AI without burying engineering in months of analytics and data integration development work.

That’s exactly why we built InsightHive.

Instead of asking your team to build dashboards, ETL, connectors, data modeling, and NLQ from scratch, InsightHive embeds the entire AI-powered analytics layer directly into your product.

Your users get:

• Dashboards and reports that they can build with natural language
• Instant insights without leaving your app
• A seamless experience that feels native to your product

Your engineering team gets:

• Zero maintenance of analytics infrastructure
• Easy embedding of analytics, AI, and native UX
• Months back on your roadmap

This is why one of our customers replaced their planned Q4 analytics build with InsightHive and delivered it in Q1 instead, at less than half the budget. Their users stayed in-app, and engineering looked like heroes for shipping a major capability without the pain.

Analytics your users love. None of the engineering pain.

That’s the power of embedding an AI-first analytics platform instead of reinventing one.

If your users are asking for insights and your team doesn’t want to build from scratch, we should talk.