While most biotech startups chase lab breakthroughs, Shiru is playing a different game: they're using AI to scan nature's molecular library for ingredients that can replace petroleum-based chemicals. With only 35 employees and $3.3M in revenue, they've already secured $36.8M in funding—proving investors believe their algorithmic approach can crack the code of natural ingredient discovery.

"Shiru isn't making ingredients—they're building the discovery engine that finds them. The difference is everything."

The tech stack tells another story: jQuery, GSAP, Tailwind CSS, Bootstrap—pragmatic choices for a company focused on backend discovery, not frontend flash. They're running on AWS CloudFront and Cloudflare, scaling infrastructure for computational heavy lifting. This isn't a consumer app; it's an industrial-grade platform disguised as a simple website.

• AI doesn't just predict—it validates: Shiru's platform screens millions of natural molecules, then uses wet-lab testing to confirm what works
• Enterprise-first strategy: With $3.3M in revenue from a tiny customer base, they're charging premium prices for hard-to-find ingredients
• Network effects in discovery: Each new ingredient found improves their algorithm, creating a moat that pure data companies can't replicate