About us
Empowering organizations with clean, compliant, and high-integrity data solutions that drive sustainable growth.
Who we are
Clean Data Services PLC is a forward-thinking Ethiopian firm specializing in Data Quality as a Service (DQaaS). Our commitment to excellence is underscored by our ECCMA accreditation and certifications in ISO 8000 and ISO 25500.
We recognize that data forms the bedrock of informed decision-making. Our mission is to ensure that organizations in Ethiopia have access to clean, accurate, and well-governed data, enabling them to optimize operations and drive strategic growth.
Mission and vision
Our Mission
To empower organizations with clean, reliable data solutions that drive smarter decisions, operational agility, and enduring success.
Our Vision
To redefine Ethiopia’s data landscape as the most trusted partner for accuracy, compliance, and innovation.
Our core values
Integrity First
Uncompromising accuracy and ethical stewardship of data.
Customer Obsession
Tailored strategies that align with unique client goals.
Collaborative Excellence
Partnerships built on shared growth and transparency.
Innovation Unleashed
Pioneering solutions for tomorrow's challenges.
Impact-driven Results
Measurable outcomes that fuel progress.
Why choose Clean Data Services
Focus on Data Integrity
We don't do everything - we do data quality better than anyone.
Battle-Tested Global Methodology
Proven expertise across US, EU, Asia, and Africa.
End-to-End Data Lifeline
From First Byte to Last Mile, no expiry support - we grow with your data needs.
Obsessive Precision at Scale
We geek where others gloss over!
Meet our team

Abel Mesfin
Founder/Master Data Manager

Biniyam Tufa
Lead Developer

Natnael Homa
Data Quality Analyst

Biniyam Wedelu
Information Systems Auditor

Yeshiwas Mulugeta
Lead Researcher
Our advisors

Navait M.
Senior Systems Engineer

Hamelmal M.
Senior Database Administrator

Anil K.
Solutions Architect
With us, it is clean data
Tell us where your data hurts. Every engagement starts with a free data audit.