Expert data
cleaning services
Want data cleansing to improve your day-to-day operations?
Data сleaning impact on business

Improved decision-making
Accurate, clean data enables AI and analytics systems to generate reliable insights, helping businesses make informed strategic decisions.

Enhanced operational efficiency
Well-organised data reduces the time and effort needed to process, analyse, and extract value, freeing up resources for critical tasks.

Optimised AI performance
High-quality data improves AI model training and predictions, reducing bias and enhancing model reliability across real-world applications.

Cost reduction
Eliminating duplicates, inconsistencies, and redundancies reduces unnecessary storage and processing costs.
Why choose DevicoAI
for data cleansing services
High retention rate
96%
Our dedicated team ensures consistent support and expertise, significantly above the industry average of 80%.
Wide expert network
3000
Access to over 3000 engineers and AI experts.
Proven track record
500,000
Over 500,000 man-days successfully delivered.
Support
24/7
Highly experienced management team available around the clock.
Elevate your data management strategy
Book a call and remove the bottleneck of scattered datasets that slow down your operations.
Data cleansing services we provide
DevicoAI’s data preparation is a 5-step process:
- check_circle
Assessment: Analyse your data sources to identify inconsistencies, gaps, and duplication.
- check_circle
Optimisation: Create a framework for maintaining data cleanliness going forward.
- check_circle
Cleaning: Standardise formats, remove inaccuracies, and fill in critical missing pieces.
- check_circle
Delivery: Provide you with a clean, structured dataset ready for AI or analytical use.
- check_circle
Validation: Cross-check cleaned data against benchmarks or real-world references to confirm accuracy.
DevicoAI’s proven data annotation includes:
- check_circle
Objective Setting: Define the purpose and scope of the annotation based on your AI goals.
- check_circle
Dataset Structuring: Organise raw data to align with the annotation process.
- check_circle
Annotation: Apply labels to data using industry-best practices and tools for precision.
- check_circle
Quality Review: Conduct multiple rounds of validation to eliminate errors and inconsistencies.
- check_circle
Model Integration: Format and deliver labelled data for seamless integration with your AI models.
DevicoAI’s process includes
- check_circle
Data Mapping: Identify and map relationships between disparate data sources.
- check_circle
Transformation: Convert data into consistent formats tailored to your needs.
- check_circle
Integration: Connect systems and establish workflows to synchronise data.
- check_circle
Testing: Validate that transformed and integrated data performs as expected.
- check_circle
Automation: Set up processes for ongoing, seamless integration as your systems evolve.
Data cleansing benefits for industries
Healthcare
Accenture predicts that AI applications could save the U.S. healthcare industry up to $150 billion annually by 2026.
For example, IBM Watson Health’s AI Orchestrator integrates AI applications to enhance medical imaging analysis, aiding in more accurate diagnostics.
Use cases:
- Disease detection and diagnostics
- Personalized treatment plans
- Predictive analytics for patient outcomes


Accenture predicts that AI applications could save the U.S. healthcare industry up to $150 billion annually by 2026.
For example, IBM Watson Health’s AI Orchestrator integrates AI applications to enhance medical imaging analysis, aiding in more accurate diagnostics.
Use cases:
- Disease detection and diagnostics
- Personalized treatment plans
- Predictive analytics for patient outcomes

Mastercard’s AI-driven fraud detection systems have doubled the speed of identifying potentially compromised cards, enhancing security and reducing financial losses.
Use cases:
- Fraud detection and prevention
- Real-time risk assessment
- Customer segmentation for personalized services

Amazon utilizes AI to personalize product recommendations and optimize inventory management, improving customer satisfaction and operational efficiency.
Use cases:
- Personalized product recommendations
- Demand forecasting for inventory management
- Targeted marketing strategies

General Electric’s Predix platform employs AI for predictive maintenance, helping to anticipate equipment failures and enhance operational efficiency.
Use cases:
- Predictive maintenance of machinery
- Production process optimization
- Supply chain management
Time is money. Save both with neatly maintained data
Ensure your data is a true business asset ready to drive real value
DevicoAI process to improve data quality
Data preparation
Identify inconsistencies, remove redundancies, and structure raw data to create a clean foundation for analysis.
Data annotation and labelling
Apply consistent, precise labels to datasets, making them ready for AI and analytics models.
Data transformation and integration
Convert fragmented data into standardised formats and integrate it into unified systems.
Technologies we use
Microsoft Azure
- check_circle
Azure machine learning: Comprehensive service for building and deploying machine learning models.
- check_circle
Cognitive Services: Suite of pre-built AI services including vision, speech, language, and decision-making.
- check_circle
Azure Bot Service: Platform for building and deploying chatbots.
- check_circle
Azure OpenAI Service: Access to OpenAI's powerful language models.
Get in touch
Drop us a line about your project and we will contact you within a business day
Our locations
New York
521 Fifth Ave, NY 10175
+1 805 491 9331London
9 Brighton Terrace, SW9 8DJ
+44 1922 214429Warsaw
Towarowa 28, 00-847
info@devico.ioLviv
Uhorska str. 14, 79034
info@devico.ioQuestions & answers
Can I get a free data cleaning sample or trial?
Yes, we offer a free sample to showcase the quality and scope of our services.
Why should I choose DevicoAI for data cleaning over other companies?
We offer a comprehensive, technically rigorous approach that delivers structured, actionable data tailored to your business needs.
With a proven methodology that spans preparation, annotation, transformation, and integration, we ensure your data becomes a true asset ready to drive real value through model accuracy for your business.
What factors influence the cost of your data cleaning services?
Costs depend on data complexity, volume, and the specific services required.
Do you offer bulk discounts for large datasets?
Yes, we provide discounts for large-scale projects. Contact us for more details.