Romain Simon
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Kog

The landing page of a startup that runs AI models up to 30 times faster. A very technical subject, made clear in seconds through illustration.

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Client
Kog, with Figue
Role
UI designer and illustrator
Year
2025
Duration
1 month
Scope
Landing page and illustrations
White Kog logo on a dark background with a beam of purple light

Overview

Kog is a French startup that speeds up language model inference: its engine generates up to 3,000 tokens per second, where ChatGPT produces around a hundred. The team of PhDs and GPU engineers earned the French Tech 2030 label. They needed a landing page that lived up to their technology.

My role

I worked on this project as a freelancer for the design agency Figue, over one month. I designed the page and all the illustrations. I didn't build it. The visuals below come from my Figma design.

Challenge

Kog works in a highly complex field: communication between GPUs, parallelism, latency measured in microseconds. Every concept was hard to depict. The page had to stay credible for an audience of engineers, while getting the key point across at first glance: with Kog, AI answers much faster.

“The Inference Bottleneck” section: a standard chip against the Kog chip

Solution

Each section relies on an illustration that turns a technical idea into a simple image: two chips facing off, a work loop, a memory diagram. The dark purple world, with its streaks of light, gives the product a cutting-edge feel without falling into AI clichés.

Kog landing page hero: “Inference at the speed of thought”

Section by section

  1. 1

    Showing the loop

    A coding agent works in a loop: it drafts, lints, tests and refines. The page puts the two rhythms side by side: one 5-minute cycle on a standard stack, versus 50 cycles in the same time with Kog.

    “Accelerating the Agentic Loop” section: 50 cycles with Kog versus one 5-minute cycle
  2. 2

    Drawing the engine

    Each strength of the engine has its own visual: bars for speed, a connector for drop-in integration, a memory diagram for hardware optimisation, and the partnership with AMD.

    “Built for the microsecond” section and its four cards
  3. 3

    Proving it with numbers

    The proof fits in four cards: 3.5 times faster than the industry-standard tool, validated by AMD's engineering teams and featured on their technical blog.

    Proof cards: 3.5x faster, validated and featured by AMD
  4. 4

    A simple ending

    The page ends on a direct question and a single action: request access to test Kog on your own agent.

    “Ready to benchmark your Agent?” call to action
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