AI
Data Labeling
The Challenge: Visualizing the Invisible Data Layer
BeSimple AI operates with a distinct advantage: a proprietary dataset involving human expert annotators that pushes the frontier of Automatic Speech Recognition (ASR). Their internal operations are sophisticated, managing millions of hours of conversational data.
However, they faced a branding friction common among deep-tech startups:
The Visibility Problem: Audio is invisible. The challenge was to visually represent "accents," "dialects," and "transcription accuracy" without relying on cliché stock imagery of microphones or headsets.
The Simplicity Mandate: As their name implies, the user experience had to be radically simple. The existing complexity of licensing deals and data curation needed to feel effortless to the end user.
Scale vs. Specificity: They needed to simultaneously communicate the massive volume of data (millions of hours) and the granular quality of that data (human-level diarization).
They needed a web presence that proved audio data could actually be simple.
Our Solution: A Landing Page Built for Clarity
We designed a landing page that acts as a direct, friction-free portal to their data capabilities. We stripped away marketing fluff to focus on the metrics that matter to engineers and investors.
1. A High-Fidelity Landing Page That Signals Trust
We approached the design with a "less is more" philosophy, ensuring every pixel served a functional purpose.
Abstract Data Visualization: We used clean, geometric representations of sound waves and data blocks. This signaled "technical precision" and "structure" rather than generic "audio," instantly framing BeSimple as an infrastructure company, not a consumer app.
Metric-First Hierarchy: We positioned their key differentiator—millions of hours of conversational data—as the visual anchor. This allowed investors to grasp the scale of the operation within seconds of landing on the page.
The "Human" Differentiator: We used visual cues to highlight the human annotation aspect. By visually separating "raw data" from "annotated data," we illustrated the value add of their proprietary platform without needing walls of text.
The Results: $3M Seed and YC Backing
Following the launch of their new digital presence, BeSimple AI successfully closed a $3M Seed round with participation from Y Combinator and other strategic investors.
By investing in high-end design before the raise, BeSimple AI was able to:
Validate Market Position: The professional, data-centric aesthetic signaled to investors that this was an enterprise-grade infrastructure play, not a small-scale data project.
Streamline Due Diligence: The clear presentation of their "data layer" concept made the technical value proposition immediately obvious to non-technical stakeholders.
Attract Enterprise Partners: The polished interface provided the credibility needed to initiate flexible licensing deals with major AI labs and enterprises.
Conclusion: Design is the First Step of Execution
BeSimple AI’s success demonstrates that in the AI infrastructure space, clarity is competitive advantage. Design is not just about making things look good; it is about reducing the cognitive load for your investors and customers.
Ready to raise your next round? We help startups translate complex technologies into compelling stories through world-class design.
