Data Acquisition, Preparation, and AI Readiness Services

Data Layer Services

Turn Your Data into a Competitive Advantage with Expert AI Data Preparation

Delivered in partnership with Communitech, CENGN’s Data Acquisition, Preparation, and AI Readiness Services transform your raw data into clean, annotated, AI-ready datasets that power successful machine learning models and drive business results.

AI-Ready Data that Powers Your Solution

What You’ll Get

Immediate Impact

Clean, annotated datasets ready for immediate AI model training
Automated data acquisition and transformation systems
Integrated data from multiple sources in unified, accessible formats
Comprehensive documentation enabling easy maintenance and expansion

Long-Term Infrastructure

Scalable data pipelines that grow with your business needs
Quality assurance processes that maintain data integrity over time
Automated systems that reduce manual processing and operational overhead
Strategic data acquisition capabilities for ongoing AI initiatives

Business Impact

Reduce time-to-deployment for AI projects
Stronger AI models through data training
Automated processes that free your team to focus on other areas
Solid data foundation that accelerates all future AI development

Service Areas

Data Acquisition Strategy and Implementation

Build a robust foundation for AI success with strategic data collection plans that ensure you have the correct data to power your intelligent systems

Data Crawling (Scraping)

Access valuable external data sources efficiently to enrich your datasets and gain competitive market insights.

AI Preparedness Evaluation and Data Cleaning

Maximize your AI model performance with comprehensive data quality assessment and cleaning services that eliminate errors and inconsistencies.

Data Annotation (including image/text classification)

Accelerate your supervised learning projects with high-quality labelled datasets that improve model accuracy and reduce training time.

Synthetic Data Creation | Augmentation for AI

Overcome data scarcity and privacy constraints with artificially generated datasets that expand your training capabilities while protecting sensitive information.

How It Works: From Raw Data to AI-Ready Assets

Phase 1: Strategic Assessment

Current State Analysis: An assessment of existing datasets and identification of critical gaps for business needs
Data Discovery: Research and identification of relevant data sets that can enhance your AI capabilities
Evaluation: Assessment of data availability, granularity, and quality across all relevant sources
Integration Strategy: Determine optimal methods for retrieving, integrating, and transforming datasets
Customer Roadmap: Create a startup-approved project plan with clear milestones and deliverables

Phase 2: Data Enrichment and Preparation

Professional Data Cleaning: Remove inconsistencies, errors, and duplicate entries to ensure data quality
Advanced Annotation: Apply specialized labelling, including classification, semantic understanding, and custom annotations
Data Acquisition: Acquire and prepare relevant target datasets using automated processes where possible
Integration Implementation: Seamlessly combine multiple data sources into unified, AI-ready formats
Quality assurance: Rigorous validation and testing to ensure data meets AI/ML requirements

Phase 3: Delivery & Knowledge Transfer

Complete Data Package: Receive new/updated datasets with comprehensive documentation and metadata
Process Documentation: Detailed overview of all completed activities and methodologies used
Strategic Walkthrough: In-depth review of datasets and recommendations for optimal AI model development
Automation Handoff: Transfer of automated processes and systems for ongoing data management

Data Preparation Experts Available

AI Architect or Data Architect & Platform Engineers

Strategic leaders with deep expertise in scalable data design, MLOps, and enterprise data architecture. They design your data infrastructure for long-term success.

Data Engineers and Data Scientists

Hands-on experts in data preparation, clearing, and MLOps with proven experience building production-ready data pipelines that work.

AI Engineers / Data Scientists

Skilled practitioners experienced in data cleaning, feature engineering, and integration who handle the core preparation work with proven methodologies.

Project Success Managers

Organized professionals ensuring your project stays on track, stakeholders remain aligned, and deliverables meet your timeline requests.

Perfect for AI Startups Preparing their Data

Designed for Canadian-based startups and scaleups with:

Raw data that needs professional preparation for AI use
Multiple data sources requiring integration and standardization
AI initiatives delayed by data quality or availability issues
Need for scalable, automated data processing systems

Ready to Transform Your Data into a Competitive AI Advantage?

Contact our team today at [email protected] to begin your application.

About CENGN

Currently supported by the Canadian Government’s Strategic Innovation Fund (SIF), Canada’s Centre of Excellence in Next Generation Networks (CENGN) helps startups and scaleups bring their solutions to market. CENGN provides the resources and technical expertise to test and validate their innovative solutions while developing tech talent through its internship programs.

Since 2014, CENGN’s programs have created nearly 12,000 Canadian jobs, contributed $1.15 billion to Canada’s GDP, supported over 300 internships with a 97% employment rate, and completed over 230 commercialization projects to build Canada’s position and expertise in the global technology landscape.

Learn More About the Current Living Lab Initiative

Back to Services

Rejoignez l'équipe CENGN

Préparez-vous pour le marché.

Transformation vers le cloud pour les entreprises.

Légal