Modernize your data ecosystem with scalable cloud infrastructure, advanced analytics, and AI-powered automation.
Ingest data from 200+ sources databases, APIs, streaming services with zero-code connectors and automated schema detection.
200+ native connectors
Real-time & batch ingestion
Automated schema mapping
Process millions of events per second with sub-millisecond latency using Apache Kafka and Spark Streaming pipelines.
Sub-ms latency
Auto-scaling pipelines
Exactly-once semantics
Deploy, serve, and monitor machine learning models at scale with MLOps best practices and automated retraining workflows.
One-click model deployment
A/B testing built-in
Drift detection & alerts
AI-powered cost monitoring and optimization across all cloud providers with automated recommendations and budget alerts.
Multi-cloud cost visibility
Predictive cost forecasting
30% avg cost reduction
Seamlessly orchestrate workloads across AWS, Azure, and GCP with unified management, portability, and zero vendor lock-in.
AWS, Azure, GCP unified
Workload portability
Vendor-agnostic design
Build a single, governed golden record for products, customers, and suppliers then syndicate it automatically to every outbound channel and downstream system.
Golden-record management
Governed data workflows
Automated outbound syndication
Most cloud data work starts with one of these. Tell us which sounds like you.
"We're locked into one cloud provider"
Re-architect workloads to run across AWS, Azure, and GCP using open table formats and vendor-agnostic tooling, so you negotiate from strength instead of rewriting under pressure.
"It takes weeks to add a new product to our outbound feeds"
Replace manual product onboarding with a governed golden record and automated workflows on Semarchy or Stibo, so a new SKU is enriched, approved, and syndicated to every outbound channel in hours, not weeks.
"Our pipelines keep breaking"
Add CI/CD, automated testing, and version control to your data pipelines so quality holds at every stage and a failed run surfaces an alert, not a silent bad dashboard.
"A cloud migration keeps stalling"
Move data infrastructure to the cloud in phased cutovers with rollback safety and continuous validation: no big-bang risk, no service interruption for the business.
"Leadership wants AI, but our data isn't ready"
Stand up the lakehouse, governance, and MLOps groundwork that production AI actually needs, then prioritize the high-ROI use cases worth building first.
"Nobody owns the data, so nothing gets decided."
Domain ownership with names against it, a decision forum that actually closes items, and written data contracts between the systems that produce data and the ones that consume it.
Optimize Azure Data Factory Costs
Real-time cost monitoring and analytics
AI-powered cost optimization recommendations
Automated budget alerts and anomaly detection
Pipeline efficiency analysis and insights
Enterprise-grade platforms powering scalable and AI-ready data ecosystems.
Showing all 24 platforms we deliver on.
Accelerators
Whether you're starting your first digital transformation programme or scaling a cloud data platform across a global enterprise, Everligntek has the consultants, the accelerators, and the track record to get you there. Our teams use AI to move faster than any firm our size. Let's talk.