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:
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Assessment: Analyse your data sources to identify inconsistencies, gaps, and duplication.
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Optimisation: Create a framework for maintaining data cleanliness going forward.
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Cleaning: Standardise formats, remove inaccuracies, and fill in critical missing pieces.
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Delivery: Provide you with a clean, structured dataset ready for AI or analytical use.
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Validation: Cross-check cleaned data against benchmarks or real-world references to confirm accuracy.
DevicoAI’s proven data annotation includes:
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Objective Setting: Define the purpose and scope of the annotation based on your AI goals.
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Dataset Structuring: Organise raw data to align with the annotation process.
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Annotation: Apply labels to data using industry-best practices and tools for precision.
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Quality Review: Conduct multiple rounds of validation to eliminate errors and inconsistencies.
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Model Integration: Format and deliver labelled data for seamless integration with your AI models.
DevicoAI’s process includes
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Data Mapping: Identify and map relationships between disparate data sources.
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Transformation: Convert data into consistent formats tailored to your needs.
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Integration: Connect systems and establish workflows to synchronise data.
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Testing: Validate that transformed and integrated data performs as expected.
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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
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Azure machine learning: Comprehensive service for building and deploying machine learning models.
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Cognitive Services: Suite of pre-built AI services including vision, speech, language, and decision-making.
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Azure Bot Service: Platform for building and deploying chatbots.
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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.