Predictive & decision analytics for everyone | Agilytics
Video · Light
Design System Inspiration
Agilytics — extracted via DESIGN.md
AI/ML · No-code ML Ops
Typography
Roboto
Heading
Roboto Condensed
Body
Color palette
TL;DR
Agilytics employs a "monochrome-plus-one" strategy where a deep charcoal `#404047` and mid-tone slate `#8e8e9c` provide the structural canvas, while a high-energy orange `#f75c03` is reserved for critical UI boundaries and interactive text. The typographic system is highly specific, pairing the tall, architectural forms of **Oswald** (weight 300) for display headers with the utilitarian **Roboto Condensed** for data-heavy body copy. Layouts are characterized by generous vertical spacing (80px sections) and large-radius containers (30px to 50px) that soften the otherwise rigid, condensed type.
Target audience
The target audience is businesses and data professionals seeking no-code solutions for predictive AI, machine learning operations, and decision analytics, particularly within the banking sector.
Full tech stack
Analytics
Meta description
Bye-bye data dirty work & deployment drama. Agilytics is the no code choice for ML Ops, ModelOPs, Decision Ops & Predictive Web Services. Agilytics does it all + special analytics for banking.
Brand Voice
Expertly seasoned, playfully human, and relentlessly focused on making complex data work effortless.
Positioning
Agilytics is a long-standing predictive AI and ML Ops platform that automates the "dirty work" of data. It serves businesses and academic institutions that need high-precision analytical results without the typical manual overhead.
Voice principles
- —Seasoned but Spry: Leverages 30 years of expertise without sounding corporate or stiff.
- —Playfully Irreverent: Uses puns, lighthearted idioms, and self-deprecation to build rapport.
- —Efficiency-Obsessed: Focuses heavily on speed, automation, and the elimination of "tedious" tasks.
- —Unpretentious: Speaks about high-level data science (ML Ops, Predictive Modeling) in plain, accessible language.
