DeepMatrix’s product was being evaluated alongside more recognizable brands like Palantir, Skycatch, and Sensat. However, its messaging was feature-heavy, highly technical, and lacked emotional resonance. There was no clear articulation of how it solves real-world problems, especially for non-technical decision-makers. Clients were aware of its capabilities, but not its benefits.
Our task was to lead a research-driven audit of how DeepMatrix communicated its strengths and how it was being compared across the AI and automation landscape.
We began by studying adjacent brands not as competitors, but as communication benchmarks. Through this lens, we mapped DeepMatrix’s current position across multiple spectrums, from "feature-heavy" to "outcome-driven", "platform-centric" to "solution-oriented".
By combining brand benchmarking, communication gap mapping, and strategic storytelling, we were able to show the exact areas where clarity, emotional engagement, and user-centric language were missing, and how that shaped buyer perception.
This research helped DeepMatrix move away from an identity rooted in geospatial analytics to one of an intelligent automation partner. It shifted the conversation from what the platform does to what it enables. These insights are now informing future positioning strategies, industry-specific messaging models, and a complete rethink of the platform’s brand narrative.
The outcome? A clearer, more strategic voice, not just for what DeepMatrix is, but why it matters.
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