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Data Engineering & AI Consultancy

Turn your data into a strategic advantage

We design and build the data platforms, analytics and AI systems that help organisations make faster, better-informed decisions. No hype, just work that holds up.

  • Cloud-native by default
  • Security built in from day one
  • A senior team on every project
Core
Databases
Cloud APIs
Streams
Analytics
ML Models
Automation
IngestDeliver
How a modern data platform flows
Streaming throughputIllustrative
Batch and streamingReal-time ready
SG
Based in Singapore
Working with clients across Southeast Asia and beyond
E2E
End-to-end delivery
From strategy through to production
4
Core practices
Engineering, analytics, AI and consulting
<1 day
Response time
We reply to every enquiry within one business day
Our services

End-to-end data solutions

From raw data to intelligent decisions, we cover every stage of the journey with services designed to scale alongside your business.

Additional capabilities

Complementary services that strengthen your data ecosystem.

Cloud Migration
Move to cloud-native data platforms with confidence
Data Governance
Policies, standards, and compliance frameworks
Process Automation
Intelligent, event-driven workflow automation
Data Versioning
Versioned datasets and experiment tracking
Edge Computing
Process data at the source for instant insight
Performance Tuning
Faster queries and lower infrastructure costs
Why Cortexals

What sets us apart

We pair deep technical expertise with a practical understanding of how businesses actually run. The result is data work that holds up in production.

Connect any source

Structured, unstructured, streaming, or legacy. We bring it all together with automatic schema detection and real-time sync.

Built for speed

Optimised query engines and distributed processing mean you get answers in seconds, not hours.

Production-ready ML

Models that ship. We handle training, deployment, monitoring, and retraining so your AI keeps working in the real world.

Real-time by default

Sub-second event processing lets you react to what is happening now, not what happened yesterday.

Security first

Encryption at rest and in transit, role-based access, and full audit logging are part of every build, not an add-on.

A team that stays close

Senior engineers who work alongside yours, ask the hard questions early, and keep you in the loop throughout.

Platform capabilities

Built for enterprise scale

Modern technology and proven reliability give you a foundation for data solutions that grow with your business.

Unified data integration

Bring data from hundreds of sources into a single, coherent view. We connect structured databases, unstructured files, streaming APIs, and legacy systems, detecting schemas, resolving conflicts, and preserving lineage along the way.

  • Broad connectivity across databases, APIs, files, and streams
  • Automatic schema detection and evolution
  • Real-time change data capture (CDC)
  • Complete data lineage and impact analysis
Learn more
  • Databases
  • Cloud APIs
  • Files
  • Streams
Unified

Scalable processing power

Process billions of records efficiently on distributed infrastructure. Whether you need batch jobs for historical analysis or streaming for immediate insight, the platform scales with demand while keeping costs in check.

  • Auto-scaling compute resources
  • Parallel processing for very large datasets
  • Cost-optimised resource allocation
  • Built-in fault tolerance and recovery
Learn more
Active pipelinesRunning
Ingest events92%
Transform orders78%
Aggregate metrics64%
Train model41%

AI-powered intelligence

Deploy machine learning models that keep learning and improving. From training and validation to deployment and monitoring, we make sure your intelligent systems stay reliable in production.

  • Automated model training pipelines
  • Real-time inference at scale
  • Continuous model monitoring
  • Explainable AI capabilities
Learn more
How we work

A clear path from idea to production

A proven, transparent process that keeps you informed at every stage and delivers value early.

  1. 01

    Discover

    We start by understanding your data landscape, business goals, and constraints, then map out where the real opportunities are.

    • Stakeholder interviews
    • Current-state architecture review
    • Data quality and governance assessment
    • Opportunity prioritisation
  2. 02

    Design

    We design a scalable architecture that fits your goals, choose the right technologies, and agree a phased plan with clear milestones.

    • Target-state architecture
    • Technology evaluation and selection
    • Data model and schema design
    • Phased implementation roadmap
  3. 03

    Build

    Our engineers deliver iteratively in short cycles, so you see working software early and can steer as we go.

    • Agile delivery sprints
    • Continuous integration and testing
    • Documentation and knowledge transfer
    • Regular progress reviews
  4. 04

    Launch & improve

    We take you to production with thorough validation, then stay on to monitor, tune, and keep the platform delivering value.

    • Production deployment and validation
    • Performance optimisation
    • Monitoring and alerting
    • Ongoing support and enhancement

Tools we work with every day

  • Snowflake
  • Databricks
  • Apache Spark
  • Apache Kafka
  • Kubernetes
  • Airflow
  • dbt
  • Tableau
Industry focus

Sectors we know well

Our team's backgrounds are in these industries, so we already speak the language and understand the data problems that come with them.

Financial services

Risk modelling, fraud detection, regulatory reporting, and real-time trading analytics.

Healthcare & life sciences

Patient analytics, clinical trial optimisation, and population health insight.

Retail & e-commerce

Customer 360, demand forecasting, personalisation, and supply-chain optimisation.

Manufacturing & logistics

Predictive maintenance, quality control, route optimisation, and inventory management.

Who we work with

Where we tend to be most useful

We are a young company, and we would rather be honest about that than invent a track record. These are the situations where our team does its best work.

You know you need a data strategy, but not where to start

We begin with a short discovery phase to understand your business, your existing systems and what good would actually look like. You get a clear, prioritised roadmap, not a 90-page deck.

You have data everywhere and none of it joins up

We design and build the pipelines, warehouse and models that bring your sources together into something reliable, documented and ready to query.

You have a model or dashboard idea and need it in production

We take you from prototype to a monitored, maintained system your team can trust and build on, and we stay involved for as long as you need us.

Not sure which of these you are? That is usually the best place to start a conversation.

Talk to us
Let's talk

Ready to get more from your data?

Tell us about the problem you are trying to solve. We will come back within a day to set up a short discovery call and talk through how we can help.