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Enterprise Data Foundation

Establish a robust data infrastructure designed to enable AI applications across your organization.

Get in touch
Certified AWS Partner Neurons Lab is proud to be an Advanced AWS Partner and Generative AI Competency Holder
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Enable Enterprise-Wide AI Integration

Convert your organization’s data and infrastructure into an AI-ready ecosystem. Get a robust technical foundation that enables seamless AI integration, real-time processing, and scalable operations.

Business Challenge

80%

Data Silos

of time is spent on data discovery, preparation, and protection, and only 20% of time is spent on actual analytics

IDC (International Data Corporation)
40%

Efficiency Loss

of data users’ time is spent searching for data when there’s no clear inventory and governance

McKinsey Digita
60%

Data Quality

reduce operational risks and costs

Gartner
1-st

Data security and Data quality

challenge preventing the adoption of GenAI

ESG Analyst Report

Service Overview

Establish a robust data infrastructure designed to enable AI applications across your
organization

Data Infrastructure Layer
  • Cloud/on-premise architecture setup
  • Storage solutions implementation
    (data lake, warehouse)
  • Security controls and framework
  • Monitoring and logging systems
  • Backup and disaster recovery
Data Integration & Processing
  • ETL/ELT pipeline development
  • Real-time/batch processing systems
  • Data quality management
  • Source system connectivity
  • Data catalog implementation
Data Harmonization
  • Data standardization and enrichment
  • Schema alignment and Master Data
    Management (MDM)
  • Data governance framework
  • Business rules implementation
  • Quality validation framework

Measurable Business Outcomes

60%

Data Silos Reduction

Modern data foundation eliminates fragmented data sources, enabling unified data access across departments.

McKinsey Digital
40-60%

Data Quality

Improved data accuracy and consistency through standardized validation and governance processes.

McKinsey Digital
162%

Rapid ROI Realization within

Organizations achieved a significant ROI through reduced infrastructure costs and improved operational efficiency.

Forrester ROI Study

Cost & Investment

01

Project Scope and Complexity

  • Number and complexity of use cases
  • Depth of customization required
  • Integration requirements with existing systems
02

Team Composition

  • Size of the development team
  • Expertise level required
  • Need for specialized roles
03

Training and Support

  • Level of training required for client’s team
  • Duration and extent of post-deployment support

How Enterprise Data Foundation Works

Our program establishes three critical layers for enterprise AI success and further AI agents and traditional ML systems deployment and scaling.

2-4 Weeks

Phase I: Data Architecture

  • Multi-tenant data architecture design
  • Data quality management establishment
  • Real-time or batch data processing
  • Custom ETL/ELT pipeline setup

4+ Weeks

Phase II: Data Harmonization

  • Multi-modal data vectorization
  • Organization knowledge graph creation
  • Semantic layer implementation
  • Search and retrieval applications testing

4+ Weeks

Phase III: On-premise or Cloud Infrastructure

  • Agent-ready cloud architecture development
  • MLOps & LLMOps platforms rollout
  • System monitoring dashboard integration
  • Scalability & performance audit and optimization

Testimonials

Generative AI Success Story

Roman Jasins, Co-Founder of Peak Defence, shares the technical perspective on the successful implementation of their GenAI based cybersecurity platform in collaboration with Neurons Lab and AWS.

Free consultation

Your Path to Enterprise AI Starts Here

Get in touch

Your Path to Enterprise AI Starts Here

info@neurons-lab.com +44 20 3769 4201
International House
64 Nile St, London N1 7SR, United Kingdom