Engineering Solutions
Data Pipeline

Data Pipeline Engineering

Build production-grade data infrastructure that reliably collects, transforms, and delivers data to your AI systems at scale

Design and implement automated data pipelines that handle the entire lifecycle from ingestion to AI-ready datasets. Our engineers build fault-tolerant, scalable infrastructure that keeps your AI systems fed with fresh, clean data.

Duration8-16 weeks
Investment$75,000 - $300,000
Best forOrganizations deploying AI systems that need continuous, reliable data flows from multiple sources

THE CHALLENGE

Sound familiar?

Our AI systems work in demos but fail with real production data

Data quality issues cause unpredictable AI outputs

Manual data preparation is a bottleneck preventing AI adoption

We can't keep our training data fresh and up-to-date

Data lives in silos across different systems and formats

Trusted by enterprises across Southeast Asia

Financial Services
Healthcare
Education
Manufacturing
Professional Services
Government

Every solution is custom-built

We don't use templates or one-size-fits-all approaches. Your solution is designed from the ground up based on your specific requirements, infrastructure, and business objectives.

100%
Custom Code
Your
Infrastructure
Full
Ownership
Discuss Your Requirements

OUTCOMES

What you'll achieve

Problems you'll solve

  • Automated data collection from all your sources
  • Real-time data transformation and quality validation
  • Unified data format ready for AI consumption
  • Monitoring and alerts for data pipeline health
  • Scalable infrastructure that grows with your needs

Value you'll gain

  • 80%+ reduction in manual data preparation time
  • Continuous AI model improvement with fresh training data
  • Reduced errors from data quality and formatting issues
  • Faster deployment of new AI use cases (data already ready)
  • Infrastructure that scales without engineering bottlenecks

OUR PROCESS

From requirements to production

Phase 1
Discovery
1-2 weeks

Understand Your Challenge

Deep dive into your requirements, existing systems, data landscape, and success criteria. We identify constraints, opportunities, and the right technical approach.

What you get
Technical requirements documentArchitecture optionsFeasibility assessment
Phase 2
Design
2-3 weeks

Architect the Solution

Create detailed technical designs, data models, and integration plans. We prototype critical components to validate the approach before full build.

What you get
System architectureData flow diagramsAPI specificationsWorking prototype
Phase 3
Build
4-12 weeks

Iterative Development

Agile development with regular demos and feedback cycles. You see progress every sprint and can adjust priorities as we learn together.

What you get
Working softwareTest suitesDocumentationTraining materials
Phase 4
Deploy
1-2 weeks

Launch & Handoff

Production deployment with monitoring, alerting, and runbooks. Complete knowledge transfer ensures your team can operate and extend the system.

What you get
Production deploymentOperations guideTeam trainingSupport transition

TECHNICAL APPROACH

Built to enterprise standards

Modern Architecture

Built on proven frameworks with clean, maintainable code that your team can extend.

Data-First Design

Robust data pipelines and storage solutions optimized for AI/ML workloads.

Enterprise Security

Security-by-design with encryption, access controls, and compliance built in.

Performance Optimized

Engineered for speed and scale, from prototype to production.

Version Controlled

Full Git history, CI/CD pipelines, and automated testing from day one.

Cloud Agnostic

Deploy anywhere - AWS, Azure, GCP, or your private infrastructure.

What you'll receive

  • Production data pipeline infrastructure (cloud-native)
  • Data ingestion connectors for all your source systems
  • Transformation and validation logic
  • Data quality monitoring and alerting
  • Version control and rollback capabilities
  • API endpoints for AI system integration
  • Operational runbooks and documentation

Best for

Organizations deploying AI systems that need continuous, reliable data flows from multiple sources

IS THIS RIGHT FOR YOU?

Finding the right fit

This is ideal for you if...

  • You're deploying AI systems that need ongoing data feeds
  • Your data comes from multiple sources or systems
  • Manual data preparation is slowing down AI projects
  • Data quality and consistency are critical challenges
  • You need infrastructure that can scale with growing AI usage

Consider another option if...

  • One-time data migration or batch processing needs
  • Your AI use case only needs static historical data
  • You don't have clear AI use cases identified yet
  • Your data sources are simple and already well-integrated
  • Budget is limited for infrastructure investment

See yourself in the list above?

Let's Talk

EXPLORE MORE

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COMMON QUESTIONS

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Let's discuss how this solution can help your organization achieve its AI ambitions.

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