G2

Yash K.

Co-Founder

Small-Business (50 or fewer emp.)

4/20/2026

"The fastest way we’ve found to build usable AI apps on top of real workflows"

5/5

What do you like best about Drio?

The best part of Drio is the combination of UI/UX and practicality. The product makes a technically complex category feel approachable. The builder is clean, understandable, and fast to work in, so you can focus on the workflow instead of fighting the tool. I also like that integrations are a core part of the experience, not an afterthought. You can connect live APIs and turn them into something interactive and usable, which makes the AI experience feel grounded in real business value. That combination of speed, clarity, and useful AI functionality is what makes the product stand out. The team was nice enough to offer a generous free trial and the pricing is super super affordable! Review collected by and hosted on G2.com.

What do you dislike about Drio?

Because the product is still early, there are moments where you can feel the limits of a visual system versus a fully custom implementation. If you need very specialized logic or edge-case behavior, you may still want engineering support. Pricing only makes sense if you actually plan to use it to ship and iterate on real workflows, so the ROI is strongest for teams with a clear use case. Onboarding is good overall, but as with any product in a newer category, there is still some education required around MCP and how to design the best AI experience. Review collected by and hosted on G2.com.

What problems is Drio solving and how is that benefiting you?

Drio solves the problem of turning APIs and business workflows into AI-native apps without requiring a full custom build. Instead of spending a lot of time on infrastructure, integrations, rendering, and protocol details, we can move much faster from idea to working product. That improves ROI by lowering the cost of experimentation and shortening time to value. It also helps more people contribute, because the UX is accessible enough for non-engineers to follow what is being built. The result is better internal alignment, faster iteration, and AI tools that are more useful because they are connected to real systems and data. Review collected by and hosted on G2.com.