Digitech Oasis, founded by Ayaan Mohamed Ali, is reimagining industrial operations through intelligent automation and robotics. Built on the vision of bridging inefficiency gaps in warehouses and supply chains, the company combines AI-driven systems with real-world adaptability. Beyond technology, its mission is rooted in inclusivity, creating opportunities for underrepresented communities in STEM. Today, Digitech Oasis is helping businesses optimise performance while shaping a more diverse and future-ready industrial landscape.

1. Every startup begins with a moment of insight. What problem or experience first inspired you to build this company?

The idea came from seeing how inefficient and fragmented industrial operations still are, despite decades of technological progress. I saw teams relying on manual processes in environments that should have been fully optimised. That gap between potential and reality is what pushed me to build Digitech Oasis. But beyond that, on a personal level the inception of the business came from a societal issue where I saw the disparity in leadership roles for women and people of colour in tech - I wanted to ensure that underrepresented communities were represented in industry 4.0 decisions and facilitate job creation for women and youth in the STEM fields.

2. What is the core problem your company is trying to solve, and why do you believe existing solutions haven’t fully addressed it?

Warehouses and industrial operations lose over $300 billion annually due to inefficiencies, labor shortages, and poor process optimisation. Existing solutions are often rigid, expensive, and hard to scale. We’re solving this by delivering flexible, intelligent automation that adapts in real time by developing and deploying autonomous robotic solutions to industry.

Your platform sits at the intersection of technology and innovation. Can you explain how your solution works in simple terms and what makes it technically unique?

In simple terms, we deploy autonomous mobile robots that can “see,” navigate, and make decisions in real time. What’s unique are our machine learning algorithms developed alongside Google, which allows our systems to adapt to dynamic environments without heavy infrastructure or long deployment cycles. These result in 3 key industry leading developments - firstly our solutions possess autocharging capabilities which are not readily available on the current market, secondly our solution has achieved the highest navigational accuracy at 97.7% that mitigates costly mis-picks and errors in complex environments and lastly our solution reduces energy costs in the warehouses by up to 57%.

3. Can you share a real-world example or use case that best demonstrates the value your technology brings to users or businesses?

In logistics environments, our AMRs can automate material movement across warehouses, reducing manual handling and increasing throughput. Clients typically see faster operations, fewer errors, and the ability to scale without proportionally increasing labor costs. Overall, we have saved our clients $52 million in inefficiency costs.

4. What has been the most difficult challenge your team has faced since launching, and how did you overcome it?

One of the hardest challenges has been bridging cutting-edge technology with real-world industrial constraints. Robotics doesn’t operate in a lab; it has to work reliably every day so definitely our biggest challenges were path planning to ensure accuracy of the robotics. We overcame this by focusing heavily on deployment simplicity and building technology that’s robust, not just advanced.

5. Your company operates in a rapidly evolving industry. What major trends do you believe will shape the sector over the next five years?

We’re moving from isolated automation to fully autonomous operations. The biggest shift will be warehouses and factories that can self-orchestrate in real time. With global labor shortages and rising costs, AMRs won’t be optional, they’ll become core infrastructure powering resilient, always-on supply chains.

6. Looking ahead, what is the long-term vision for the company, and how do you hope it will reshape your industry?

Our vision is to power the next generation of intelligent industries, where robotics and AI seamlessly augment human capability to create faster, safer, and more resilient operations. We aim to become the foundational layer enabling how modern supply chains and industrial systems operate globally. Having transformed businesses across 68 countries, we envision a future where we are the world class hub for AI driven robotic solutions. Programs like MBRIF have been instrumental in supporting our growth, particularly in helping us navigate the regional ecosystem, build strategic partnerships, and accelerate market access in the UAE and beyond.