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 Devico
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.
24/7 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

Devico’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.
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Devico’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.
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Devico’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.
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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

Devico 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 for
AI chatbot development

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.

IBM Cloud

IBM Watson: AI services for various applications.
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Watson Studio: Integrated environment for data scientists, application developers, and subject matter experts.
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Watson Assistant: Conversational AI for building chatbots.
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Watson Natural Language Understanding: LP and text analysis.
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Watson Visual Recognition: Image analysis.

Snowflake

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Snowflake Data Marketplace: Integration with various AI/ML platforms.
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Watson Assistant: Conversational AI for building chatbots.
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Watson Natural Language Understanding: LP and text analysis.
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Third-Party Integrations: Partnerships with DataRobot, H2O.ai, and other machine learning tools for advanced analytics and AI.

Amazon Web Services

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Amazon SageMaker: Comprehensive machine learning service.
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AWS Deep Learning AMIs: Preconfigured environments for deep learning.
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Amazon Lex: Service for building conversational interfaces and chatbots.
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Amazon Rekognition: Image and video analysis.
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Amazon Comprehend: Natural language processing (NLP) and text analysis.

Google Cloud Platform

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AI Platform: End-to-end platform for building, deploying, and managing machine learning models.
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AutoML: Tools for building custom machine learning models with minimal coding.
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TensorFlow: Open-source machine learning framework.
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Vertex AI: Unified AI platform for developing and deploying machine learning models.
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Dialogflow: Natural language understanding and chatbots.
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Cloud Vision API: Image analysis.
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Natural Language API: NLP and text analysis.

Questions & answers

General
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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.
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.

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