We make techactually work.
Founded in 2020, Creators Inc Tech has grown from a three-person tech enthusiasts into a team of 10+ Application engineers, data scientists, and strategists serving clients across multiple industries.
What drives us.
Precision
Every model, every pipeline, every deployment is crafted with surgical precision to maximise impact.
Partnership
We don't just deliver and disappear. We embed with your team and become an extension of your organisation.
Innovation
We stay at the frontier of AI research, bringing the latest breakthroughs directly into your stack.
Speed
From concept to production in weeks. We move fast without sacrificing quality or reliability.
Meet the team.
Andre Taylor-Anokye
Founder/Owner
Application Engineer with over 10 years in delivering and supporting high-performing applications across multiple industries. Specialises in DevOps practices and automation, with a strong focus on reliability, scalability, and continuous improvement. Experienced in building and maintaining native applications for iOS and Android, as well as modern, responsive websites.
Tolu Akinnubi
CTO/Director of Engineering
Software Engineer experienced in building scalable, user-friendly applications across frontend and backend. Focused on AI, automation, and delivering high-quality, practical solutions through modern technologies and continuous improvement.
Tunde Babatunde
Director of Quality Assurance
Experienced Test Engineer with 10+ years in quality assurance, working with organisations like Barclays, Cognizant, and the DWP. Combines technical expertise with creativity through photography and web development, with a strong focus on problem-solving, continuous learning, and delivering impactful solutions.
Junior Asare
VP of Engineering
Data Engineer skilled in building scalable ETL/ELT pipelines using Python, SQL, and PySpark. Experienced in workflow orchestration with Apache Airflow and automation via CI/CD (GitHub Actions). Growing expertise in AWS cloud architecture and event-driven systems like Kafka, with hands-on experience deploying machine learning models for predictive insights.