Press kit

Assets and facts for media, partners and analysts.

Everything needed to write about Kani Media Company and Wingu9 accurately. For interviews, additional assets or fact checks, email our press desk.

Logos

Brand marks

Please use the marks as supplied — no recoloring, stretching, or added effects. Keep clear space of at least the height of the "K" on all sides.

Kani Media Company logo mark on dark background

Mark — dark background

PNG
Kani Media Company logo mark on light background

Mark — light background

PNG
KKani Media Company

Lockup — mark + wordmark

Space Grotesk Semibold. Contact press for vector files.

Brand colors

Midnight

#0A0A1A

Primary background

Surface

#141432

Cards and sections

Elevated

#1E1E5A

Raised surfaces

Indigo Accent

#4F46E5

Primary brand accent

Signal Green

#22C55E

Secondary accent, used sparingly

Typography
  • Space Grotesk

    Headlines, UI labels, logotype

  • DM Sans

    Body copy and long-form text

Company description

Kani Media Company LLC is a California-registered technology company building AI-powered products for African markets. Founded in 2026, the company combines artificial intelligence, weather intelligence, live sensing and modern software engineering to solve real-world problems — starting with agriculture.

Product description

Wingu9 is an AI-powered weather intelligence and precision agriculture platform helping farmers make smarter decisions through live cameras, weather forecasting, Farm AI, and early warning alerts. Wingu9 is a Kani Media Company product.

Eric Mithamo, Founder & Chief Executive Officer of Kani Media Company
Founder biography

Eric Mithamo

Founder & Chief Executive Officer

Eric founded Kani Media Company to put advanced technology in the hands of people whose livelihoods depend on getting decisions right. He leads product and engineering strategy across the company and remains closely involved in the design of Wingu9.

An engineer by training and practice, Eric has spent his career building software systems — data pipelines, connected devices and applied AI — and translating them into products that work under real constraints: intermittent connectivity, modest hardware and users who need an answer, not a dashboard.

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