AI use cases for R&D, strategy & innovation | ITONICS Prism

Populate your tech radar with scored technologies

Written by Rossouw Nel | Oct 15, 2026, 3:22:59 PM

1. Describe the task

Prism can read recent external signals for a technology topic and turn them into a populated radar. It queries the signals pool (news, patents, research) and the web via Perplexity, extracts the distinct technologies, and creates a technology element for each. Each element lands on your radar, segmented and scored against your configured readiness scale.

Here, it scouts the topic of solid-state batteries and places the results on an existing radar.

2. Give context

Required inputs

  • A technology topic to scout, named narrowly (e.g. "solid-state batteries," not "energy storage").

  • A radar view with an element type and a configured readiness scale (TRL, MRL, or your own).

3. What ITONICS AI creates

Prism creates 10 technology elements from signals from the last year, rated and segmented on the Solid-State Battery radar.

Prism's analysis determines that  OEM Automotive Validation is the most mature entry (TRL 7), with Toyota, BYD, Nissan, and Honda in active pilot phases. Self-Healing Adaptive Interphase Engineering, the least mature (TRL 3), is flagged as the highest-risk, highest-reward technology to watch.