Ayodeji Alaran didn’t set out to be an AI innovator – he just wanted to stop wasting good medicine.
As a pharmacist-turned-pharma executive, Ayodeji worked with big names like GlaxoSmithKline and Pfizer across Africa and Asia. But everywhere he went, he kept running into the same frustrating problem: expired drugs. Not because of laziness or bad logistics, but because companies didn’t have the data they needed to forecast demand.
Think about that. Millions spent on medication… and it never even made it to patients. Just expired in warehouses.
So in 2016, Ayodeji did what every bold entrepreneur does when faced with a persistent problem: he built a company to solve it. Enter PBR Life Sciences – an AI-powered health data startup on a mission to clean up, standardize, and make sense of healthcare data in emerging markets.
And now, as a member of Google for Startups’ Growth Academy: AI for Health program, Ayodeji is taking the mission global – with a serious AI upgrade.
When You Can’t Find the Right AI Model, Build It Yourself
Back in the early days, Ayodeji and his team searched high and low for AI models trained on African healthcare data. They found… nothing. So they rolled up their sleeves and built their own.
At first, it took 8 to 9 months to clean a single dataset. With their homegrown AI models? That same job now takes 20 minutes.
They’ve trained their systems to meet global standards, like those from the WHO, and they rely on real-world data from patients in underrepresented regions. And it’s not just engineers doing the heavy lifting – PBR’s team includes doctors, pharmacists, and scientists who ensure the AI outputs actually make sense in a clinical context.
Because no matter how slick your algorithm is, if it confuses malaria for migraines, you’re not helping anyone.
From Backroom Brilliance to Frontline Impact
Until now, most of PBR’s AI work has been behind the scenes – optimizing data operations and analytics. But thanks to their involvement in the Google for Startups program, the company is ready to go public-facing.
Ayodeji’s vision? AI that doesn’t just make systems smarter, but also helps communities see what’s coming. Imagine combining PBR’s proprietary data with Google Maps to identify disease hotspots, locate medicine deserts, or flag areas where drug prices are out of control.
It’s not sci-fi. It’s just smart thinking—and it’s the next logical step.
Scaling Smart: One Country at a Time
Here’s the thing: the issues PBR is tackling – data blind spots, inconsistent supply chains, ignored populations – aren’t unique to Nigeria. They’re everywhere across emerging markets.
But there’s a darker side to this. As global pharmaceutical companies lean harder on AI and big data to develop new drugs, many of those datasets exclude patients in Africa. That means new medications could be biased – literally – against entire populations.
Ayodeji wants to change that, and scaling is the only way forward. PBR has already expanded to Ghana and Kenya, with a goal to reach 20 countries within the next 10 years.
And coming this June? Three new AI-powered products, including Health Data Lab, which will feature the world’s largest anonymized dataset of Black patients – designed to supercharge inclusive clinical research.
Because equitable healthcare needs data that actually reflects everyone.
The Bottom Line
Ayodeji Alaran is proof that AI in health doesn’t need to start in Silicon Valley. Sometimes, it starts with a pharmacist who’s just tired of watching medicine go to waste.
By putting AI in the hands of those who understand both science and society, PBR Life Sciences is helping reshape healthcare from the inside out—one clean dataset at a time.
