DistillerSR: AI-Enabled Literature Review Software
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Design System Inspiration
DistillerSR — extracted via DESIGN.md
AI/ML · Literature review automation
Typography
Palanquin
Heading
Courier New
Body
Color palette
TL;DR
DistillerSR utilizes a "monochrome-plus" system where a deep navy `#1e345d` serves as the primary structural and typographic anchor. High-voltage sky blue (`#00b5ff`, `#00acf0`) is reserved strictly for primary conversion points and interactive highlights, creating a clear functional hierarchy. The system relies on the **Palanquin** font family across all roles, using a wide weight range (300 to 800) to distinguish between editorial display and functional UI. Layouts are characterized by generous vertical padding (50px-54px) and a sharp, mostly flat aesthetic with minimal border radii (0px-5px).
Target audience
The target audience is researchers, academics, and organizations seeking efficient and collaborative AI-enabled software for literature reviews.
Full tech stack
Meta description
AI-enabled software that automates literature reviews so you can deliver better research faster and share it across your organization.
Brand Voice
Authoritative, enterprise-grade, and scientifically rigorous.
Positioning
DistillerSR is an AI-enabled evidence management platform for life sciences, pharmaceutical, and medical device companies. It centralizes and automates literature reviews to accelerate research, ensure regulatory compliance, and eliminate data silos.
Voice principles
- —Authoritative: Uses industry-standard terminology and confident assertions about efficiency and scale.
- —Outcome-Oriented: Focuses on tangible results like reduced review times, cost-effectiveness, and competitive advantage.
- —Systematic: Mirrors the scientific method with precise, structured language that emphasizes transparency and auditability.
- —Enterprise-Ready: Communicates stability and trust through mentions of global scale, security, and top-tier partnerships.
