DevicoAI

Data cleaning company

Expert data
cleaning services

Want data cleansing to improve your day-to-day operations?

Data сleaning impact on business

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Improved decision-making

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

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Enhanced operational efficiency

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

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Optimised AI performance

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

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Cost reduction

Eliminating duplicates, inconsistencies, and redundancies reduces unnecessary storage and processing costs.

Why choose DevicoAI
for data cleansing services

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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
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Finance & insurance

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
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Retail

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
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Manufacturing

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
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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

Step 1

Data preparation

Identify inconsistencies, remove redundancies, and structure raw data to create a clean foundation for analysis.

Step 2

Data annotation and labelling

Apply consistent, precise labels to datasets, making them ready for AI and analytics models.

Step 3

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

HQ

521 Fifth Ave, NY 10175

+1 805 491 9331

London

Sales

9 Brighton Terrace, SW9 8DJ

+44 1922 214429

Warsaw

R&D

Towarowa 28, 00-847

info@devico.io

Lviv

R&D

Uhorska str. 14, 79034

info@devico.io

Questions & answers

Yes, we offer a free sample to showcase the quality and scope of our services.

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.

Costs depend on data complexity, volume, and the specific services required.

Yes, we provide discounts for large-scale projects. Contact us for more details.

Yes, we work closely with your team to maximise efficiency and maintain alignment with internal processes.

Clear objectives, data access, and an overview of your challenges and goals.

We assess your systems and use custom integration strategies to ensure compatibility and ease of use.

Timelines vary depending on data volume and complexity but typically range from days to a few weeks.

We combine automation for efficiency with manual oversight for precision and edge cases.

Our workflows are compliant with GDPR, HIPAA, and other standards, with encrypted transfers and secure access protocols.

Yes, we have expertise in managing and processing all data formats.

Yes, we apply rigorous security measures and work within regulatory compliance frameworks.

Faster decision-making, more accurate AI outputs, and improved operational efficiency.

Yes, high-quality data reduces training time and improves model performance.

Inaccurate or inconsistent data introduces errors into training, reducing the accuracy of predictions.

By tracking accuracy, error reduction, and alignment with client-defined KPIs.

By building compliance into our processes through secure protocols, documentation, and regular audits.